Research Article | | Peer-Reviewed

Commercial Farming of High-Value Fruits and Crops: A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh

Received: 24 August 2026     Accepted: 4 September 2026     Published: 24 September 2026
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Abstract

The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.

Published in Journal of Food and Nutrition Sciences (Volume 14, Issue 5)
DOI 10.11648/j.jfns.20261405.14
Page(s) 307-319
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Agricultural Commercialization, Financial Inclusion, High-Value Fruits and Crops, Market Integration, Technological Adoption

1. Introduction
The global transformation of agri-food systems has increasingly positioned smallholder agriculture at the nexus of economic development, climate resilience and nutritional security . In South Asia, where the rural economy remains heavily dependent on subsistence farming, transitioning toward commercialized, high-value agriculture is widely recognized as a critical pathway for poverty alleviation . The cultivation of High-Value Fruits and Crops (HVF&C) offers distinct advantages over traditional staple grain production, including higher profit margins, greater potential for value addition and enhanced employment generation across the rural supply chain . However, smallholder market integration is frequently constrained by systemic barriers, including a lack of access to formal credit, inadequate technical extension services, post-harvest infrastructure deficits and vulnerability to climate induced shocks .
To navigate these constraints, contemporary agricultural development increasingly emphasizes technological adoption, digital connectivity and multi-actor value-chain collaboration. Climate-smart technologies, including improved irrigation systems, digital advisory tools and precision-oriented farm management practices, can improve resource-use efficiency and strengthen smallholder resilience to environmental and market risks. In Bangladesh, recent studies indicate that agricultural digitalization is gradually expanding through mobile based services, digital information platforms and emerging technology applications, although unequal access to digital infrastructure, skills and services continues to constrain adoption among smallholder farmers . Digital technologies are also becoming increasingly relevant for agricultural market integration and value chain coordination. For example, mobile communication and digital platforms can reduce information asymmetry, facilitate market participation and improve access to financial and advisory services. However, evidence from Bangladesh suggests that farmers' use of digital financial services remains uneven, with limited digital literacy, technological risks and operational constraints restricting the effective use of these services for agricultural transactions, credit and market participation .
Emerging technologies such as the Internet of Things (IoT), blockchain based traceability and other digital supply chain systems offer additional opportunities for monitoring farm activities, improving transparency and strengthening coordination between producers and downstream market actors . A recent Bangladesh based study demonstrated the potential of blockchain enabled systems to enhance traceability, transparency and fairer pricing in agri-food value chains . Such technologies may therefore contribute to reducing transaction costs and information asymmetry, particularly in complex horticultural supply chains involving multiple intermediaries. Nevertheless, the empirical evidence on the actual adoption and effectiveness of advanced digital technologies among smallholder farmers remains limited, particularly when such technological adoption is assessed alongside broader outcomes relating to finance, market integration and household welfare .
Beyond economic metrics, agricultural commercialization exerts a profound influence on household food security and dietary quality. Historically, agricultural policy has demonstrated a preoccupation with staple grains, often overlooking the nutritional imperatives of diverse food systems . Nutrition sensitive agricultural interventions are increasingly advocated to address micronutrient deficiencies, with dietary diversity serving as a proxy for both nutrient adequacy and household economic stability . The Minimum Dietary Diversity for Women (MDD-W) indicator, validated by the Food and Agriculture Organization (FAO), is an internationally standardized metric for assessing the proportion of women consuming a diet rich in essential micronutrients . Evaluating the cross sectional impact of HVF&C commercialization on MDD-W is imperative for understanding how agricultural income translates into human capital development, particularly concerning maternal and child health.
In Bangladesh, the coastal and southeastern regions exhibit significant untapped potential for horticultural diversification, though farmers face compounded challenges of soil degradation, salinity and fragmented market linkages . Addressing these localized constraints, the Rural Microenterprise Transformation Project (RMTP) financed by the Palli Karma-Sahayak Foundation (PKSF), the International Fund for Agricultural Development (IFAD) and the Danish International Development Agency (DANIDA) and implemented by Young Power in Social Action (YPSA) initiated the "High Value Fruit and Crops Varieties Extension and Marketing Sub-Project." Operating in the Chattogram district, this initiative aims to foster robust microenterprises through technological extension, Good Agricultural Practices (GAP) implementation and enhanced financial inclusion.
Recent evidence from Bangladesh has increasingly examined agricultural diversification, market access, and their relationships with household dietary diversity and nutritional outcomes. Alam et al. used nationally representative panel data to demonstrate that agricultural production diversification is positively associated with improved dietary diversity among individual members of farm households in Bangladesh. Similarly, Kabir et al. showed that farm production diversity was positively associated with household dietary diversity and that market accessibility and improved irrigation influenced this relationship. These studies demonstrate the importance of production diversity, market access, and agricultural technology in shaping household and individual dietary outcomes. Recent research has also documented the growing importance of digital financial services and technology-enabled agricultural value chains in improving farmers' access to markets, finance, credit, insurance, and agricultural services . However, the effective use of these digital services remains constrained by limited digital literacy, operational barriers, and uneven adoption among farmers . These studies provide important evidence on individual components of agricultural transformation; however, most have focused on specific relationships, single outcome domains, or technology specific applications rather than evaluating multiple dimensions of agricultural transformation within a unified intervention framework.
Consequently, an important evidence gap remains regarding integrated evaluations that simultaneously examine technological modernization, digital adoption, financial inclusion, market integration, socioeconomic transformation, and nutritional outcomes within a single intervention framework. In particular, although recent Bangladesh-based studies have examined agricultural diversification and dietary outcomes, farm production diversity, market accessibility, agricultural technology use, digital financial services, and blockchain-enabled value-chain systems, these studies have generally not combined a baseline-endline comparison with a contemporaneous non-intervened control group to assess how a high-value horticultural commercialization intervention influences these interconnected outcomes . This study addresses this gap by conducting an integrated comparative evaluation of the High Value Fruits and Crops (HVF&C) intervention among smallholder farmers in Chattogram, Bangladesh. Specifically, the study assesses changes in technological modernization, including climate-smart and selected digital technologies, market integration, financial access, socioeconomic outcomes, and women's dietary diversity, comparing beneficiary outcomes with their 2022 baseline status and with a comparable 2025 non-intervened control cohort.
2. Methodology
2.1. Study Area
The research was conducted in the Chattogram District of southeastern Bangladesh, an area characterized by diverse topography suitable for horticulture but historically constrained by traditional farming paradigms. The treatment (beneficiary) areas comprised Sitakunda Upazila (specifically the unions of Bariyardhala, Sitakunda Sadar, Muradpur, Barbakund, Banshbaria, Bara Kumira, Sonaichari and Bhatiari) and Mirsarai Upazila (Wahedpur, Khaiyachara and Mirsarai). Hathazari Upazila (Fatehpur, 1 no. Chatogram City Corporation and Chikomdondi) was strategically selected as the control area due to its comparable agro-ecological and socio-demographic baseline characteristics, lacking the specific project interventions.
2.2. Research Design, Sampling Strategy and Sample Size
The baseline (2022) and endline (2025) surveys were conducted using independent cross-sectional samples. Therefore, the same households were not tracked longitudinally. The study employed a mixed-methods, experimental research design utilizing a Baseline (2022), Endline (2025) comparative framework, augmented by an Endline Control Group (2025) to isolate project impacts. In Baseline survey (2022) required baseline sample size (n) was mathematically derived using the standard formula for proportions: Primary data were collected from a total 496 number of samples. As per standard proportion (UP: Ultra Poor 10%, TP: Transitional Poor 19%, EP: Entrepreneur Poor 71%) area and poverty wise sample has been taken. To assess the existing value chain for high value fruits and crops of that selected Upazilla 46 numbers of sample were taken from different marketing channel; another 41 numbers of sample were selected from the researchers of different organizations.
In Endline survey (2025) the target population consisted of 6,038 project beneficiaries comprising marginal farmers, micro-entrepreneurs and value chain actors. A stratified cluster sampling technique was applied. The project areas of Mirsarai and Sitakunda were stratified into unions and villages (clusters). Applying Cochran’s formula for statistical significance yielded a target of 361 beneficiary households. To satisfy robust evaluation criteria and fulfill project mandates, an additional 20% control group (N=72) was sampled from Hathazari Upazila. Thus, the total quantitative sample size for the endline comparison was N=433.
A baseline survey was not conducted in the control area. Therefore, pre-intervention equivalence between the treatment and control groups could not be statistically verified. The control group was selected based on its agro-ecological and socio-demographic similarity to the intervention areas; however, this study design does not permit definitive causal attribution of observed differences solely to the intervention.
2.3. Data Collection Procedures
Data collection utilized a rigorous framework for both periods. Extensive reviews of regional horticultural marketing channels informed the preparation of diverse, semi-structured questionnaires. These targeted HVF&C production, consumption (MDD-W for females aged 18-45), marketing channels, local value chains, income shifts and institutional support. Authentic data, speeches and documents were cross-referenced with top authorities (e.g., UAO, RARS, HARS, PTCBL, local government). Digital photography was utilized to frame and authenticate different steps during the field investigation. Qualitative data were gathered concurrently until data saturation, utilizing purposive sampling. The endline involved six Focus Group Discussions (FGDs, 10-20 participants), 63 Key Informant Interviews (KIIs) spanning value chain actors and six In-Depth Interviews (IDIs) with prominent entrepreneurs.
2.4. Nutritional Assessment (MDD-W)
Nutritional outcomes were assessed using the FAO validated Minimum Dietary Diversity for Women (MDD-W) indicator. Dietary recall data (24-hour) were collected for women of reproductive age across all surveyed households. Consumption was categorized into standard food groups. A score of ≥ 5 food groups indicated adequate minimum dietary diversity.
2.5. Statistical Analysis
Collected primary data were digitally encoded into Microsoft Excel 2013 for basic descriptive statistics and the calculation of Standard Deviations (SD). Comparative analyses to measure intervention impacts across the Baseline, Endline Beneficiary and Endline Control cohorts. Qualitative data underwent thematic analysis to triangulate statistical trends.
3. Results
3.1. Overall Baseline-Endline Socio-Demographic Changes
The intervention period observed changes in the socio-demographic and educational profiles of the farming communities (Table 1). At baseline (2022), a significant portion of the beneficiary population faced educational deficits, with 38.90% possessing no formal education. By the 2025 endline, literacy and educational engagement had increased; the illiteracy rate dropped to 29.4%. Female participation increased and youth into the agricultural enterprise sector. Female participation grew from 9.52% at baseline to 16.9% at endline. Crucially, 62.71% of the endline beneficiary cohort fell within the 25-35 years age bracket, compared to only 19.32% in the control group.
Table 1. Demographic and educational profile of farmers.

Characteristic

Categories

Baseline Beneficiaries (N=496;%)

Endline Beneficiaries (N=361;%)

Endline Control (N=72;%)

Gender

Male

90.48

83.10

92.56

Female

9.52

16.90

7.44

Age distribution

< 25 years

15.60

8.64

11.12

25 - 35 years

38.30

62.71

19.32

35 - 45 years

25.20

18.50

30.16

45 and Above

21.00

10.05

39.40

Education level

No formal education / Illiterate

38.90

29.40

29.17

Primary

25.70

35.30

38.89

Secondary

29.00

28.90

30.56

Higher Secondary / Above

6.40

6.40

1.39

Occupational structures diversified significantly (Table 2). While agriculture remained the primary occupation (93.35% for beneficiaries at endline), secondary off-farm livelihoods expanded to build household resilience against agrarian shocks.
Table 2. Primary and secondary occupational structure.

Occupation

Categories

Baseline Beneficiaries (%)

Endline Beneficiaries (%)

Endline Control (%)

Main occupation

Farming/Agriculture

87.20

93.35

98.61

Livestock

-

25.76

36.11

Business/Trading

3.70

10.80

9.72

Housewife

-

3.88

-

Daily Labour

3.70

9.97

6.94

Secondary occupation

Handicrafts

12.70

25.48

18.06

Business

46.80

26.32

30.56

Day labor

27.70

23.55

27.78

Others/Service/Remittance

12.80

58.73

47.22

3.2. Income and Economic Outcomes
The transition to HVF&C cultivation was associated with increased income (Table 3). Average monthly primary income for entrepreneurs increased from 4,758.14 ± 2,453.26 BDT at baseline to 14,826.87 ± 9,188.67 BDT at endline. In contrast, the control group's average sat at 12,743.06 ± 6,515.96 BDT. For main occupations, 63.2% of beneficiaries now earn over 10,000 BDT monthly, compared to 54.2% of the control. The divergence in secondary income is also higher, with 67.1% of beneficiaries earning over 5,000 BDT monthly compared to just 25.0% of the control group.
Table 3. Monthly income distribution (Main and Secondary occupations).

Monthly income range (BDT)

Range

Endline Beneficiaries (%)

Endline Control (%)

Income by main occupation

Less than 5,000

7.8

2.8

5,001 - 10,000

29.0

43.1

10,001 - 20,000

43.7

43.1

20,001 - 30,000

12.5

9.7

30,001 - 50,000

7.0

1.4

Income by secondary occupation

Less than 5,000

32.9

75.0

5,001 - 10,000

48.9

16.7

10,001 - 20,000

14.6

6.9

Table 4 explicitly connects this to HVF&C cultivation: 68.3% of beneficiaries experienced post-cultivation income increases exceeding 10%, a growth tier reached by only 36.1% of the control group. Economically, beneficiaries were twice as likely to gain better access to capital (69.9% vs. 33.3%) and nearly three times as likely to increase savings (67.9% vs. 25.0%).
Table 4. Economic impact and income increases post cultivation.

Indicator

Categories

Endline Beneficiaries (%)

Endline Control (%)

Income increase post HVF&C

0 - 10% Increase

31.4

62.5

11 - 25% Increase

54.2

34.7

26 - 50% Increase

14.1

1.4

Reported economic changes

Better access to capital

69.9

33.3

Increased savings

67.9

25.0

Asset creation

39.0

20.8

3.3. Agricultural Production and Technological Adoption
Table 5 shows changes in crop selection and the adoption of farming practices and the adoption of standardized farming practices. While historically heavily reliant on subsistence rice (82.27%) and basic vegetables (70.64%), 91.9% of the endline beneficiary cohort transitioned to high-value fruit cultivation. Among the beneficiaries, 39.1% reported adopting drip or sprinkler irrigation systems (drip/sprinkler), a technology virtually non-existent at baseline and unobserved in the control group.
Table 5. Cultivation shifts and adoption of irrigation technologies.

Indicator

Categories

Endline Beneficiaries (%)

Endline Control (%)

Previous cultivation focus

Rice

82.27

75.0

Vegetables

70.64

62.5

Fruit Orchard

12.19

8.3

Current adoption of Drip/Sprinkler

No

60.9

100.0

Yes, Drip

29.2

0.0

Yes, Sprinkler

5.2

0.0

Both

4.6

0.0

As shown in Table 6, beneficiaries reported several benefits associated with these technologies. Beneficiaries reported that irrigation modernization directly contributed to reduced water use (30.0%), increased yields (22.5%) and reduced labor costs (21.3%). A proportion of beneficiaries reported using digital technologies, including IoT-based farm management, crowdfunding platforms, and blockchain-related tools to 7-14% of producers, indicating emerging digital technology use among the surveyed producers in rural microenterprises.
Table 6. Benefits observed from irrigation and high technology adoption.

Indicator

Categories

Endline Beneficiaries (%)

Benefits of Drip/Sprinkler systems

Reduced water use

30.0

Increased yield

22.5

Reduced labor cost

21.3

Adoption of advanced technologies

IoT for farm management

13.0

Crowd funding Platform

14.4

Block Chain

7.2

3.4. Input Sourcing and Financial Access
Table 7 illustrates enhanced input sourcing methodologies. Unlike the control group, which relied almost exclusively on localized private nurseries (87.5%), beneficiaries diversified their procurement, heavily utilizing government institutions (42.38%) and online/mobile platforms (9.97%). To assure quality, beneficiaries leveraged formal verification, with 41.0% procuring exclusively from registered institutions.
Table 7. Sources and quality assurance of HVF seeds/saplings.

Indicator

Categories

Endline Beneficiaries (%)

Endline Control (%)

Sources of Seeds/Saplings

From a nursery

69.25

87.5

Government institution

42.38

11.1

Private institution

28.81

38.9

Online/mobile

9.97

0.0

Methods to ensure quality

Visual: healthy saplings

66.2

77.78

Visual: disease-free

45.2

52.78

From a registered institution

41.0

22.22

Access to financial support was examined as a factor associated with agricultural commercialization. As outlined in Table 8, 77.1% of beneficiaries received direct financial support from the RMTP via YPSA, while 78.4% accessed external banking support. Conversely, respondents in the control group reported high interest rates (94.3%) and complicated procedures (88.6%) as major barriers to financial access.
Table 8. Financial access and constraints.

Indicator

Categories

Endline Beneficiaries (%)

Endline Control (%)

Received project financial support

Yes

77.1

19.44

Received external bank support

Yes

78.4

52.8

Major constraints to finance

High interest rates

17.73

94.3

Lack of collateral/guarantee

16.34

77.1

Complicated procedures

13.57

88.6

3.5. Market Integration and Value Chain Dynamics
Beneficiaries reported lower levels of post-harvest losses than the control group (Table 9). Only 7.5% of beneficiaries reported post-harvest losses exceeding 10%, whereas 43.1% of the control group suffered losses in the 11-25% range. The control group frequently reported infrastructure-related factors to infrastructural deficits lack of advanced harvesting tech (94.4%) and missing storage (84.7%) complaints that were reduced to below 40% for beneficiaries through targeted project interventions.
Table 9. Biggest challenges in HVF&C cultivation and post-harvest losses.

Indicator

Categories

Endline Beneficiaries (%)

Endline Control (%)

Biggest cultivation challenges

Lack of technical knowledge

44.88

-

Lack of access to finance

41.83

-

Estimated post-harvest loss

Less than 5%

42.8

16.7

5 - 10%

49.1

40.3

11 - 25%

7.5

43.1

Reasons for post-harvest spoilage

Lack of fruit storage facilities

39.1

84.7

Lack of processing facilities

37.1

77.8

Lack of advanced harvesting tech

31.6

94.4

Table 10. Value chain actor insights (Endline beneficiary areas).

Actor and indicator

Findings (Beneficiary areas)

HVF large producers (n=5)

Monthly income

Mean: 79.6k BDT

Adopted climate adaptive tech and fruit bagging

100.0%

Primary constraint

High interest rates / Collateral (75.0%)

Agro machinery sellers (n=4)

Revenue from HVF farmers

50.0% derive 61-80% of revenue from HVF

Business revenue change

75.0% reported moderate to significant increase

Local fruit collectors (n=2)

Technology adoption

100% use plastic crates and mobile phones for pricing

Super shops (n=4)

HVF demand change

75.0% reported significant increase

Daily sales volume

100% sell 26-50 kg daily

Transport agencies (n=4)

Quality management

100% use proper packaging, timely transport, careful loading

Spoilage rate change

75.0% reported decrease in spoilage rates

Table 10 confirms The findings suggest that changes associated with commercialization extended across several stages of the value chain. Large producers are universally adopting quality enhancing technologies (fruit bagging) and climate-adaptive methods. Agro machinery sellers and Super Shops report reported revenue and demand increases associated with the HVF&C sector. Transport agencies are implementing quality controls that correlate with the reduced post-harvest losses observed among producers.
3.6. Nutritional Outcomes (MDD-W) and Women's Empowerment
Nutritional outcomes were assessed using the MDD-W indicator, measured via MDD-W. At endline, 61.77% of beneficiary women achieved an adequate MDD-W score (consuming ≥ 5 food groups), maintaining the high baseline standard (91.36%). This differed from the control group, where 77.8% of women consumed inadequately diverse diets (<5 food groups). The high MDD-W achievement among beneficiaries is driven by 100% reported consumption of grains, pulses and fats/seeds, alongside 99.72% reported consumption of meat/poultry/fish. Compared to baseline, protein intake surged. Conversely, the control group exhibited lower dietary diversity, heavily reliant on grains, with pulse consumption at only 34.72% and fats at 25.00%.
The findings indicated changes in women’s participation in financial and agricultural decision-making in gender empowerment (Table 11). Among endline beneficiaries, 99.45% of women reported increased involvement in financial decision-making (42.98% noting significant increases). Similarly, agricultural decision-making power increased for 99.21% of beneficiary women, compared with the levels reported in the control group.
Table 11. Women's involvement in decision making.

Indicator

Changes

Endline Beneficiary (%)

Endline Control (%)

Financial decision making

Significantly increased

42.98

13.89

Somewhat increased

56.47

68.05

Not at all

0.55

18.06

Agricultural decisions

Significantly increased

48.28

26.39

Somewhat increased

50.93

70.83

Not at all

0.80

2.78

3.7. Comprehensive Logframe Indicator Assessment
To assess changes across the project logframe indicators, Table 12 presents a comprehensive cross-sectional matrix of 24 core project logframe indicators, showing higher values for several indicators among the endline treatment group against both their own 2022 baseline and the 2025 control parameters. The adoption of Safe Agriculture (96.40% vs. 41.67% control), GAP (96.9% vs. 23.7% control) and overall market linkage (71.75% vs. 30.56% control) indicate substantial differences between the treatment and control groups.
Table 12. Comprehensive logframe performance indicators (Baseline vs. Endline Treatment vs. Endline Control).

Performance Indicator

Baseline

Endline Treatment

Endline Control

Average primary monthly income (BDT)

4,758.14 ± 2,453.26

14,826.87 ± 9,188.67

6,743.06 ± 3,515.96

Intake of ≥ 5 nutritious food items

23.61%

61.77%

27.78%

Safe agriculture adoption (IPM, Eco-farming)

29.24%

96.40%

41.67%

Average secondary monthly income (BDT)

3,133.56 ± 1,841.73

7,535 ± 5,172

4,513.89 ± 4,271.57

Entrepreneurs reporting structural profit growth

<10%

65.66%

29.17%

Practice of Good Agricultural Practices (GAP)

<25%

96.90%

23.70%

Utilization of active marketing linkages

~28.00%

71.75%

30.56%

Availability/intake of necessary HVF&C inputs

~23.18%

54.29%

19.44%

Received agro-machinery consultancy

<10%

~35.00%

<10%

Demonstrating knowledge of HVF&C cultivation

<10%

100.00%

<20%

Execution of formal supplier/nursery agreements

<10%

43.68%

10.33%

Increase in quality seedling production capacity

--

~35%

<10%

Timely access to inputs/services via centers

--

~25%

<10%

Increased access to machinery via dealers

--

~20%

<10%

Received formal HVF&C cultivation training

<10%

~100%

<20%

Nurseries with established mother stock

0

4

0

Target audience reached via online marketing

<5%

15.24%

8.34%

Planned demonstration plots established

0

~10%

0

Planned Memoranda of Understanding executed

0

~10%

0

Farmers collecting seed/saplings from govt.

<10%

52.00%

11.10%

Adopting mechanized production/traceability

<20%

~77.00%

<30%

Attending Production and Sales Meetings (PSPMs)

<5%

71.40%

<10%

Attending organized field day events

<10%

94.40%

2.80%

Upgraded/installed modern irrigation systems

Negligible

39.10%

Very Low

4. Discussion
The empirical findings from the Baseline-Endline-Control comparison are consistent with the project intervention as a was associated with changes in for rural agricultural transformation in Chattogram. The increase in primary monthly income (from 4,758.14 ± 2,453.26 BDT to 14,826.87 ± 9,188.67 BDT) and the increase in the proportion of 91.9% of the beneficiary cohort toward high-value fruit cultivation confirm the theoretical frameworks posited by Birthal et al. , which argue that crop diversification toward non-staple, high-value commodities is a prerequisite for liberating smallholders from the poverty trap of subsistence farming. The control group’s lower observed values underscores that mere proximity to urban centers is insufficient; structural interventions, specifically targeted financial inclusion (77.1% YPSA support) and technical capacitation (96.9% GAP adoption), are required to overcome the capital and knowledge constraints highlighted by Barrett .
Technological modernization was a an important component of this transformation. The adoption of modern irrigation (drip and sprinkler systems) by nearly 40% of beneficiaries was associated with reduced the climate induced vulnerabilities characteristic of coastal agriculture. As supported by FAO and Arslan et al. , climate smart agricultural tools not only optimize water use (30% reduction) but simultaneously boost yields (22.5% increase) and labor efficiency. Notably, the project’s introduction of emerging digital platforms (IoT, Crowd funding, Block chain) to 7-14% of the cohort represents a nascent but pivotal step toward digitalizing rural microenterprises, addressing the information asymmetry identified by Jack as a primary barrier to market efficiency.
The integration of producers into functional, multi actor value chains decisively mitigated post-harvest losses, a chronic vulnerability in South Asian supply chains . By facilitating formal marketing agreements (43.68% for beneficiaries vs. 10.33% control) and promoting online/mobile procurement, the project may have provided additional marketing options for farmers. The systemic upgrades reported by large collectors, super shops and transport agencies such as universal adoption of plastic crates and active quality management demonstrate that smallholder commercialization induces positive spillover effects, upgrading the entire meso-level agri-food ecosystem . However, the persistence of constraints such as high interest rates and the lack of localized cold storage indicates that while farm level efficiency has peaked, macro-level infrastructural investments remain necessary.
Crucially, the economic dividends of commercialization were accompanied by higher MDD-W adequacy and gender empowerment. The maintenance of high MDD-W adequacy (61.77%) among beneficiary women, juxtaposed against the severe dietary monotony of the control group (77.8% inadequate), illustrates the potential contribution of nutrition sensitive agricultural commercialization . The universal intake of proteins and micronutrient rich vegetables directly correlates with the diversified income portfolios that allowed households to purchase non-farm foods. Furthermore, the near universal inclusion of women in financial and agricultural decision making (>99%) supports the findings of Sraboni et al. , affirming that inclusive value chain development not only increases household wealth but was associated with increased participation in household decision making, fostering sustainable community resilience.
5. Study Limitations
Several limitations should be considered when interpreting these findings. First, much of the information, including income, agricultural practices, financial outcomes, post-harvest losses and decision-making, was self-reported and may therefore be affected by recall and social desirability bias. Second, although the control area was selected for its comparable agro-ecological and socio-demographic characteristics and absence of the intervention, it was not randomly allocated. Thus, unobserved differences between beneficiary and control areas may have influenced the results. Third, the baseline and endline surveys represent repeated cross sectional assessments rather than confirmed longitudinal tracking of the same respondents; differences in sample composition may therefore have contributed to observed changes. Finally, because the study was conducted in selected upazilas of Chattogram, Bangladesh, its findings should be generalized cautiously to other contexts. Future studies should use longitudinal tracking and rigorously matched or randomized comparison groups.
6. Conclusion
The comparative evaluation of the High Value Fruits and Crops project indicates that targeted interventions in technological extension, financial inclusion and value chain integration may support the transition of farmers from subsistence to profitable commercial agribusinesses. Over the implementation period, beneficiaries achieved increases in primary and secondary income, accompanied by a high reported adoption of Good Agricultural Practices (96.9%) and a significant uptake of climate-smart irrigation systems. By circumventing traditional market bottlenecks through formalized multi actor linkages, post-harvest losses were was lower among beneficiaries. In addition, these economic gains translated directly into robust nutritional security, with 61.77% of beneficiary women achieving adequate dietary diversity, alongside increased participation in intra household gender empowerment. To ensure the long term sustainability of these outcomes, future policy frameworks must prioritize the expansion of decentralized cold-storage infrastructure and the development of agriculture sensitive, low interest credit products. Ultimately, this intervention serves as a may offer lessons for the design of similar interventions for achieving the Sustainable Development Goals (SDGs) of zero hunger, gender equality and sustainable economic growth in developing agrarian economies.
Abbreviations

BDT

Bangladesh Taka

CSA

Climate Smart Agriculture

DANIDA

Danish International Development Agency

EP

Entrepreneur Poor

FAO

Food and Agriculture Organization

FGDs

Focus Group Discussions

GAP

Good Agricultural Practices

HARS

Horticultural Agriculture Research Station

HVF&C

High Value Fruits and Crops

IDIs

In-Depth Interviews

IFAD

International Fund for Agricultural Development

IoT

Internet of Things

KIIs

Key Informant Interviews

MDD-W

Minimum Dietary Diversity for Women

PKSF

Palli Karma-Sahayak Foundation

PTCBL

Plant Tissue Culture and Biotechnology Laboratory

RARS

Regional Agricultural Research Station

RMTP

Rural Microenterprise Transformation Project

SD

Standard Deviations

SDGs

Sustainable Development Goals

TP

Transitional Poor

UAO

Upazila Agriculture Officer

UP

Ultra Poor

YPSA

Young Power in Social Action

Acknowledgments
The authors gratefully acknowledge Md. Arifur Rahman, Chief Executive; Md. Manzur Murshed Chowdhuri, Director, Economic Development; Md. Newaz Mahmud, Program Manager and Mr. Suman Deb Nath, Project Manager, YPSA, Chattogram, for their financial support, encouragement and valuable guidance throughout the baseline survey. We also extend our sincere appreciation to Akond Md Rafiqul Islam, Senior General Manager, PKSF, Dhaka, Bangladesh, for his valuable advice and support during the data collection and field study.
We sincerely thank all the farmers and women who participated in the study from the Sitakunda, Mirsarai and Hathazari upazilas of Chattogram for generously giving their time and providing accurate information.
We are also grateful to the enthusiastic students of the Department of Botany, University of Chittagong, for their dedicated efforts and active participation. In particular, we acknowledge Rokeya Akter Rita, Md. Abdul Alim, Abu Taum, Tama Bhowmik, Priota Datta Orpa, Suranjona Tripura, Mohammad Mijanur Rahman and U Khai Wai Marma for their diligent contributions to data collection and data entry. Our appreciation also goes to Md Delowar Hossen, Project Assistant, Endline Evaluation of High Value Fruits and Crops Extension and Marketing Sub Project, Chattogram, Bangladesh.
Finally, we gratefully acknowledge the Department of Botany, University of Chittagong, particularly the Plant Tissue Culture and Biotechnology Laboratory, for providing the necessary laboratory facilities and equipment essential for the completion of this work.
Author Contributions
Tapash Kumar Bhowmik: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing
Minhajur Rahman: Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft
Md. Abul Kashem: Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Writing – original draft
Sujan Rudra: Formal Analysis, Methodology, Resources, Visualization, Software
Md. Shakhawat Hossain: Data curation, Investigation
Shahriar Arafat: Data curation, Investigation
Mira Barua: Data curation, Investigation
Ummay Sayeda Tabassum: Data curation, Investigation
Georgia Chakma: Data curation, Investigation
Chayan Kumer Saha: Data curation, Investigation
Funding
This evaluation research was supported and facilitated under the Rural Microenterprise Transformation Project (RMTP), jointly financed by PKSF, IFAD and DANIDA.
Data Availability Statement
The raw quantitative datasets, interview transcripts and statistical analytical outputs supporting the conclusions of this manuscript are retained by the executing agency (YPSA) and will be made available by the corresponding author upon reasonable academic request, subject to privacy restrictions.
Conflicts of Interest
The authors declare no conflicts of interest.
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Cite This Article
  • APA Style

    Bhowmik, T. K., Rahman, M., Kashem, M. A., Rudra, S., Hossain, M. S., et al. (2026). Commercial Farming of High-Value Fruits and Crops: A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. Journal of Food and Nutrition Sciences, 14(5), 307-319. https://doi.org/10.11648/j.jfns.20261405.14

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    ACS Style

    Bhowmik, T. K.; Rahman, M.; Kashem, M. A.; Rudra, S.; Hossain, M. S., et al. Commercial Farming of High-Value Fruits and Crops: A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. J. Food Nutr. Sci. 2026, 14(5), 307-319. doi: 10.11648/j.jfns.20261405.14

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    AMA Style

    Bhowmik TK, Rahman M, Kashem MA, Rudra S, Hossain MS, et al. Commercial Farming of High-Value Fruits and Crops: A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh. J Food Nutr Sci. 2026;14(5):307-319. doi: 10.11648/j.jfns.20261405.14

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  • @article{10.11648/j.jfns.20261405.14,
      author = {Tapash Kumar Bhowmik and Minhajur Rahman and Md. Abul Kashem and Sujan Rudra and Md. Shakhawat Hossain and Shahriar Arafat and Mira Barua and Ummay Sayeda Tabassum and Georgia Chakma and Chayan Kumer Saha},
      title = {Commercial Farming of High-Value Fruits and Crops: 
    A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh},
      journal = {Journal of Food and Nutrition Sciences},
      volume = {14},
      number = {5},
      pages = {307-319},
      doi = {10.11648/j.jfns.20261405.14},
      url = {https://doi.org/10.11648/j.jfns.20261405.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfns.20261405.14},
      abstract = {The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Commercial Farming of High-Value Fruits and Crops: 
    A Baseline-Endline-Control Group Comparative Assessment in Mirsarai, Sitakunda and Hathazari, Chattogram, Bangladesh
    AU  - Tapash Kumar Bhowmik
    AU  - Minhajur Rahman
    AU  - Md. Abul Kashem
    AU  - Sujan Rudra
    AU  - Md. Shakhawat Hossain
    AU  - Shahriar Arafat
    AU  - Mira Barua
    AU  - Ummay Sayeda Tabassum
    AU  - Georgia Chakma
    AU  - Chayan Kumer Saha
    Y1  - 2026/09/24
    PY  - 2026
    N1  - https://doi.org/10.11648/j.jfns.20261405.14
    DO  - 10.11648/j.jfns.20261405.14
    T2  - Journal of Food and Nutrition Sciences
    JF  - Journal of Food and Nutrition Sciences
    JO  - Journal of Food and Nutrition Sciences
    SP  - 307
    EP  - 319
    PB  - Science Publishing Group
    SN  - 2330-7293
    UR  - https://doi.org/10.11648/j.jfns.20261405.14
    AB  - The transition from subsistence farming to commercial agriculture is critical for rural poverty alleviation and food security. This study evaluates the impact of the "High Value Fruits and Crops (HVF&C) Varieties Extension and Marketing Sub-Project" on technological adoption, market integration, economic outcomes and nutritional security in Chattogram, Bangladesh. A mixed-methods baseline-endline-control group comparative design was employed. Evaluated parameters included income, agricultural practices, technological uptake and Minimum Dietary Diversity for Women (MDD-W). The intervention was associated with substantial socioeconomic changes among the beneficiaries. Monthly primary income for treatment entrepreneurs increased 14,826.87 ± 9,188.67 BDT at endline, compared to 4,758.14 ± 2,453.26 BDT at baseline and 12,743.06 ± 6,515.96 BDT for the control group. Beneficiaries reported substantial adoption of HVF&C cultivation (91.9%), adopting Good Agricultural Practices (96.9%) and safe agriculture (96.4%). Technology adoption increased with 39.1% of beneficiaries adopting modern irrigation and 77% utilizing mechanized production systems. Market linkages expanded, with 71.75% of beneficiaries securing active marketing channels, significantly mitigating post-harvest losses. Nutritional outcomes were higher among beneficiaries, 61.77% of beneficiary women achieved adequate MDD-W scores (≥ 5 food groups), contrasting sharply with 27.78% in the control group. Furthermore, women's empowerment in financial and agricultural decision making was reported by more than 99% of respondents among beneficiaries. The project was associated with a shift toward market oriented, technology enabled agribusiness microenterprises. By bridging gaps in technical knowledge, financial inclusion and value chain connectivity, the intervention offers a may provide useful evidence for similar interventions for advancing climate smart horticulture and rural nutritional security in South Asia.
    VL  - 14
    IS  - 5
    ER  - 

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Author Information
  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Statistics, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Department of Botany, University of Chittagong, Chattogram, Bangladesh

  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Methodology
    3. 3. Results
    4. 4. Discussion
    5. 5. Study Limitations
    6. 6. Conclusion
    Show Full Outline
  • Abbreviations
  • Acknowledgments
  • Author Contributions
  • Funding
  • Data Availability Statement
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information