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Research article · 2025 · Full text

International Journal of Agriculture and Nutrition

Participatory technology development for sustainable vegetable production in peri-urban areas

Veronique Brossard

Volume 7(7) · Pages 179–182 · DOI: 10.33545/26646064.2025.v7.i7c.519 ↗

Research areasAgricultural Innovations and PracticesAgricultural Development and ManagementUrban Agriculture and Sustainability

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Abstract

Author-written

Can small-scale vegetable growers in peri-urban zones benefit from researcher-farmer collaboration in technology selection? This research examined participatory technology development (PTD) for vegetable production in peri-urban areas near Truro, Nova Scotia. A total of 147 farming households were engaged across three communities between March 2022 and October 2024. Six vegetable crops were selected and three technology packages co-developed: drip irrigation kits, composting systems, and integrated pest management (IPM) protocols. PTD-supported plots produced 38.7% to 57.0% higher yields than conventional practice plots. Adoption rates reached 64.7%, 57.2%, and 48.9% for the three packages by the fifth season. Soil organic carbon increased by 0.31% and water use dropped by 27.4% under drip irrigation. The mean benefit-cost ratio was 2.13 for PTD plots versus 1.47 for controls. These results point to PTD as a workable framework for peri-urban grower engagement.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Peri-urban agriculture faces unique challenges including water scarcity, land pressure, and changing market demands. View evidence ↗

      Why it matters

      Peri-urban agriculture faces unique challenges including water scarcity, land pressure, and changing market demands.

      In the paper's own words

      “Peri-urban agriculture occupies a narrow band between urban and rural landscapes, where land pressure, water scarcity, and shifting market demand create distinct challenges”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Standard agricultural extension services often provide generic recommendations that are poorly suited to the specific economic and environmental constraints of peri-urban farms. View evidence ↗

      Why it matters

      Standard agricultural extension services often provide generic recommendations that are poorly suited to the specific economic and environmental constraints of peri-urban farms.

      In the paper's own words

      “Traditional extension services tend to deliver pre-packaged recommendations that may not match the soil types, plot sizes, or economic constraints of peri-urban settings”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Small-plot growers in Nova Scotia specifically struggle with declining soil organic matter, pest damage from aphids and flea beetles, and inefficient water use. View evidence ↗

      Why it matters

      Small-plot growers in Nova Scotia specifically struggle with declining soil organic matter, pest damage from aphids and flea beetles, and inefficient water use.

      In the paper's own words

      “Earlier field assessments in Nova Scotia documented three recurring barriers among small-plot vegetable growers: inefficient water application, declining soil organic matter, and pest damage from flea beetles and aphids”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to determine if small-scale peri-urban vegetable growers could benefit from collaborating with researchers to select and develop technologies. View evidence ↗

      The question

      The study aimed to determine if small-scale peri-urban vegetable growers could benefit from collaborating with researchers to select and develop technologies.

      In the paper's own words

      “Can small-scale vegetable growers in peri-urban zones benefit from researcher-farmer collaboration in technology selection?”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • The research involved 147 farming households across three communities from March 2022 to October 2024. View evidence ↗

      What they did

      The research involved 147 farming households across three communities from March 2022 to October 2024.

      In the paper's own words

      “A total of 147 farming households were engaged across three communities between March 2022 and October 2024.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Six specific vegetable crops were selected for the study: tomato, lettuce, bell pepper, spinach, carrot, and radish. View evidence ↗

      What they did

      Six specific vegetable crops were selected for the study: tomato, lettuce, bell pepper, spinach, carrot, and radish.

      In the paper's own words

      “Six crops were chosen through a ranking exercise: tomato (cv. Scotia), lettuce (cv. Buttercrunch), bell pepper (cv. Northstar), spinach (cv. Bloomsdale), carrot (cv. Nantes), and radish (cv. Cherry Belle).”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The co-developed technology packages consisted of composting bins, botanical integrated pest management (IPM) kits, and low-cost drip irrigation. View evidence ↗

      What they did

      The co-developed technology packages consisted of composting bins, botanical integrated pest management (IPM) kits, and low-cost drip irrigation.

      In the paper's own words

      “Three technology packages were assembled: low-cost drip irrigation kits (emitter flow 1.2 L/h), composting bins using municipal leaf waste and livestock manure, and a botanical IPM kit with neem oil (0.3% azadirachtin) and pyrethrin spray (1.4% a.i.)”

      Page 2

      Found in: Conclusion

      Read it in the full textOpen PDF at page 2 ↗
    • The experiment used a paired-plot design where one ~85 m² plot received the participatory technology development (PTD) package and a matched control plot used existing practices. View evidence ↗

      What they did

      The experiment used a paired-plot design where one ~85 m² plot received the participatory technology development (PTD) package and a matched control plot used existing practices.

      In the paper's own words

      “A paired-plot design was used on each farm. One plot (~85 m²) received the PTD package, while a matched control plot continued with existing practice, separated by a 2-m buffer.”

      Page 2

      Found in: Field Experimental Design

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Vegetable yields in PTD-supported plots were 38.7% to 57.0% higher than those in conventional practice plots. View evidence ↗

      What they found

      Vegetable yields in PTD-supported plots were 38.7% to 57.0% higher than those in conventional practice plots.

      In the paper's own words

      “PTD-supported plots produced 38.7% to 57.0% higher yields than conventional practice plots.”

      Page 1

      Found in: Methods

      Read it in the full textOpen PDF at page 1 ↗
    • Soil organic carbon in PTD plots increased from 2.16% to 2.47%, whereas control plots showed little change. View evidence ↗

      What they found

      Soil organic carbon in PTD plots increased from 2.16% to 2.47%, whereas control plots showed little change.

      In the paper's own words

      “Soil organic carbon in PTD plots rose from 2.16% to 2.47% over the research period, while control plots changed little”

      Page 2

      Found in: Conclusion

      Read it in the full textOpen PDF at page 2 ↗
    • The use of drip irrigation reduced water consumption by 27.4%, averaging 228 mm compared to surface-watered plots. View evidence ↗

      What they found

      The use of drip irrigation reduced water consumption by 27.4%, averaging 228 mm compared to surface-watered plots.

      In the paper's own words

      “Water consumption under drip irrigation averaged 228 mm—27.4% less than surface-watered plots.”

      Page 2

      Found in: Conclusion

      Read it in the full textOpen PDF at page 2 ↗
    • By the fifth season, adoption rates were highest for drip irrigation (64.7%), followed by composting (57.2%) and IPM (48.9%). View evidence ↗

      What they found

      By the fifth season, adoption rates were highest for drip irrigation (64.7%), followed by composting (57.2%) and IPM (48.9%).

      In the paper's own words

      “Drip irrigation reached the highest uptake (64.7% by Season 5), likely because its water-saving benefit was visible immediately during the drier 2023 season. Composting followed at 57.2%, while IPM lagged at 48.9%.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
    • PTD plots showed a higher mean benefit-cost ratio (2.13) compared to controls (1.47), with net returns per hectare approximately 44.9% higher. View evidence ↗

      What they found

      PTD plots showed a higher mean benefit-cost ratio (2.13) compared to controls (1.47), with net returns per hectare approximately 44.9% higher.

      In the paper's own words

      “The mean benefit-cost ratio was 2.13 for PTD plots versus 1.47 for controls, with net returns per hectare about 44.9% higher in the PTD treatment.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors recommend that extension agencies in peri-urban areas invest in participatory approaches instead of using generic, blanket technology packages. View evidence ↗

      What it means

      The authors recommend that extension agencies in peri-urban areas invest in participatory approaches instead of using generic, blanket technology packages.

      In the paper's own words

      “For extension agencies working in peri-urban zones, these results support investing in participatory approaches rather than blanket technology packages.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • A limitation of the study is the potential for self-selection bias because farmers chose which of their plots would receive the PTD treatment. View evidence ↗

      What it means

      A limitation of the study is the potential for self-selection bias because farmers chose which of their plots would receive the PTD treatment.

      In the paper's own words

      “One limitation is the non-random treatment assignment. Because farmers chose which plot received PTD, some self-selection bias may inflate differences.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (peri-urban vegetable gardens with composting bins, drip irrigation systems, and botanical pest control kits). It explains the idea and does not show study data.↗ Enlarge
PTD Workflow Concept
AI-generated conceptual illustration (peri-urban vegetable gardens with composting bins, drip irrigation systems, and botanical pest control kits). It explains the idea and does not show study data.

AI-generated conceptual illustration (peri-urban vegetable gardens with composting bins, drip irrigation systems, and botanical pest control kits). It explains the idea and does not show study data.

Open full-size image ↗

PTD Workflow Concept

AI-generated conceptual illustration (peri-urban vegetable gardens with composting bins, drip irrigation systems, and botanical pest control kits). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Control and PTD: Tomato vs Lettuce vs Pepper vs Spinach vs Carrot
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Control and PTD: Tomato vs Lettuce vs Pepper vs Spinach vs Carrot

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Soil organic carbon (%): Control (start) vs Control (end) vs PTD (start) vs PTD (end)
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Soil organic carbon (%): Control (start) vs Control (end) vs PTD (start) vs PTD (end)

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Mean vegetable yield (t/ha) under participatoryTable 1Page 2Soil organic carbon and water use under PTD and conventional practice (mean of five seasons)Table 2Page 2Comparison of vegetable yields (t/ha) between conventional practice and participatory technology plotsFigure 1Page 2Technology adoption rates (%) among participating households over five growing seasonsFigure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

What happens when farmers themselves shape the technologies meant to serve them? This question sits at the heart of participatory technology development, an approach that shifts conventional top-down extension toward a partnership between researchers and growers [1] . Peri-urban agriculture occupies a narrow band between urban and rural landscapes, where land pressure, water scarcity, and shifting market demand create distinct challenges [2] . In Canada, peri-urban zones supply a significant share of fresh vegetables to nearby cities, yet these growers seldom receive the research attention directed at larger operations [3] . Traditional extension services tend to deliver pre-packaged recommendations that may not match the soil types, plot sizes, or economic constraints of peri-urban settings [4] . Earlier field assessments in Nova Scotia documented three recurring barriers among small-plot vegetable growers: inefficient water application, declining soil organic matter, and pest damage from flea beetles and aphids [7] . Standard recommendations-overhead sprinklers, synthetic fertilizers, and calendar-based pesticide sprays-were poorly matched to the scale and budget of these operations [8] . PTD offers a structured alternative where researchers and farmers jointly identify constraints, design on-farm trials, and refine solutions based on real-world feedback [9] . The method draws on principles from farmer field schools, which have recorded positive outcomes in sub-Saharan Africa and South Asia [10] . But transferring PTD to a Canadian peri-urban context required adaptation given shorter growing seasons and different market channels [11] . This research was designed to bridge that gap by co-developing and testing three technology packages with 147 households over five growing seasons.

Materials and Methods

Materials and Methods

Research Area

The research was conducted across three peri-urban communities-Bible Hill, North River, and Onslow-within a 15-km radius of Truro, Nova Scotia (45.36° N, 63.28° W). Soils are predominantly sandy loam to loam with pH values between 5.8 and 6.4 [13] . Land holdings among participants ranged from 0.08 to 0.6 ha. The region has a humid continental climate (Dfb) with a frost-free window of about 130 days. Mean annual temperature during the research period (2022-2024) was 6.8 °C, with annual precipitation averaging 1,147 mm [14] .

Material

Material

Field Experimental Design

A paired-plot design was used on each farm. One plot (~85 m²) received the PTD package, while a matched control plot continued with existing practice, separated by a 2-m buffer.

Baseline soil tests confirmed comparable starting conditions between paired plots (mean organic carbon difference < 0.04%).

Methods

Yield was measured by weighing marketable produce per plot and converting to t/ha. Soil samples (0-20 cm) were analysed for organic carbon (Walkley-Black), pH, and available phosphorus (Olsen method). Water use was tracked with inline flow meters on drip lines and from daily application records on control plots. Pest incidence was scored on a 0-5 scale fortnightly. Adoption was assessed via end-of-season surveys. Economic data were recorded per plot per season and benefit-cost ratios calculated. Statistical comparisons used paired t-tests (p<0.05) and adoption trends were analysed with linear regression [16] . All six vegetables showed significantly higher yields under PTD compared to conventional practice (Table 1). The largest relative gains appeared in carrot (57.0%) and spinach (56.1%). All comparisons exceeded the 0.01 significance threshold.

Table 1. Mean vegetable yield (t/ha) under participatory
CropControlPTDIncrease (%)t-valuep-value
Tomato18.326.745.94.82< 0.01
Lettuce12.719.251.25.13< 0.01
Pepper14.121.854.64.97< 0.01
Spinach9.815.356.15.41< 0.01
Carrot11.417.957.04.68< 0.01
Radish8.613.152.34.29< 0.01

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Mean vegetable yield (t/ha) under participatory↗ Enlarge
Table 1
Mean vegetable yield (t/ha) under participatory

Mean vegetable yield (t/ha) under participatory

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Results

Results

Comprehensive Interpretation

Adoption climbed in a roughly linear pattern across all three packages (Figure 2). Drip irrigation reached the highest uptake (64.7% by Season 5), likely because its water-saving benefit was visible immediately during the drier 2023 season. Composting followed at 57.2%, while IPM lagged at 48.9%. The mean benefit-cost ratio was 2.13 for PTD plots versus 1.47 for controls, with net returns per hectare about 44.9% higher in the PTD treatment.

Figure 2. Technology adoption rates (%) among participating households over five growing seasons
Technology adoption rates (%) among participating households over five growing seasons↗ Enlarge
Figure 2
Technology adoption rates (%) among participating households over five growing seasons

Technology adoption rates (%) among participating households over five growing seasons

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Discussion

The yield gains of 38.7-57.0% are broadly with PTD outcomes reported elsewhere. Trials in Nepal found 30-45% yield increases when farmers co-designed irrigation schedules, while Kenyan projects observed gains of 25-60% [1, 5] . What sets these findings apart is the temperate periurban context, where the short growing season means every efficiency gain compounds quickly because there is little room for recovery after a setback. The steady rise in adoption rates mirrors patterns in participatory research literature, where trust builds incrementally as farmers observe results on their own land [9] . That IPM uptake lagged isn't surprising-it requires ongoing monitoring and judgment calls, while drip systems and composting bins need less active decision-making after setup. Water savings of 27.4% align with findings from semi-arid environments where drip consistently cuts use by 20-40% [14] . One limitation is the non-random treatment assignment.

Because farmers chose which plot received PTD, some selfselection bias may inflate differences. Future work could address this through cluster-randomised designs. That said, paired baseline soil data and consistent management records reduce confounding risk.

Conclusion

This research showed that participatory technology development can raise vegetable yields by 38.7-57.0% in peri-urban farming systems around Truro, Nova Scotia. Drip irrigation, composting, and botanical IPM-when codesigned with growers-outperformed conventional practices across all six crops over five seasons. Adoption rates climbed to between 48.9% and 64.7%, and soil organic carbon rose by 0.31 percentage points. Water consumption dropped by 27.4% under drip irrigation. The benefit-cost ratio of 2.13 for PTD plots versus 1.47 for controls confirms the economic advantage. For extension agencies working in peri-urban zones, these results support investing in participatory approaches rather than blanket technology packages.

Figures and tables from the paper

Table 2. Soil organic carbon and water use under PTD and conventional practice (mean of five seasons)
ParameterControl (start)Control (end)PTD (start)PTD (end)
Soil organic carbon (%)2.142.212.162.47
Water use (mm/season)312308314228
Soil pH5.925.885.946.07
Available P (mg/kg)24.625.124.329.8

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Soil organic carbon and water use under PTD and conventional practice (mean of five seasons)↗ Enlarge
Table 2
Soil organic carbon and water use under PTD and conventional practice (mean of five seasons)

Soil organic carbon and water use under PTD and conventional practice (mean of five seasons)

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Figure 1. Comparison of vegetable yields (t/ha) between conventional practice and participatory technology plots
Comparison of vegetable yields (t/ha) between conventional practice and participatory technology plots↗ Enlarge
Figure 1
Comparison of vegetable yields (t/ha) between conventional practice and participatory technology plots

Comparison of vegetable yields (t/ha) between conventional practice and participatory technology plots

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗

References

16 in the original paper
  1. Chambers R, Pacey A, Thrupp LA. Farmer first: Farmer innovation and agricultural research. Intermediate Technology Publications. 1989;1(1):1-218.
  2. Mougeot LJA. Urban agriculture: Definition, presence, potentials and risks. Growing Cities, Growing Food. 2000;8(2):1-42.
  3. Duchemin E, Wegmuller F, Legault AM. Urban agriculture: Multi-dimensional tools for social development in poor neighbourhoods. Field Actions Science Reports. 2008;1(1):43-50.
  4. Sumberg J, Okali C, Reece D. Agricultural research in the face of diversity: Farmer-led approaches and formal R&D. Journal of International Development. 2003;15(6):699-715.
  5. Sthapit BR, Joshi KD, Witcombe JR. Farmer participatory crop improvement. III. Participatory plant breeding, a case for rice in Nepal. Experimental Agriculture. 1996;32(4):479-496.
  6. Statistics Canada. Census of Agriculture, Nova Scotia highlights. Statistics Canada Catalogue. 2021;95-640X:1-28.
  7. MacKinnon SL, Scott P. Soil health challenges in Nova Scotia market gardens: A baseline assessment. Canadian Journal of Soil Science. 2019;99(3):312-324.
  8. Pannell DJ, Marshall GR, Barr N. Understanding and promoting adoption of conservation practices by rural landholders. Australian Journal of Experimental Agriculture. 2006;46(11):1407-1424.
  9. van de Fliert E. Integrated pest management: Farmer field schools generate sustainable practices. Agriculture and Human Values. 1993;10(1):29-40.
  10. Lal R. Soil carbon sequestration impacts on global climate change and food security. Science. 2004;304(5677):1623-1627.
  11. Garibaldi LA, Aizen MA, Klein AM. Global growth and stability of agricultural yield decrease with pollinator dependence. Proceedings of the National Academy of Sciences. 2011;108(14):5909-5914.
  12. Murphy K, Lammer D, Lyon S. Breeding for organic and low-input farming systems: An evolutionaryparticipatory breeding method for inbred cereal grains. Renewable Agriculture and Food Systems. 2005;20(1):48-55.
  13. Webb KT, Langille DR. Soils of the Truro area, Colchester County, Nova Scotia. Nova Scotia Soil Survey Report. 1996;27:1-85.
  14. Allen RG, Pereira LS, Raes D, Smith M. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper. 1998;56:1-300.
  15. Isman MB. Botanical insecticides, deterrents, and repellents in modern agriculture and an increasingly regulated world. Annual Review of Entomology. 2006;51:45-66.
  16. Gomez KA, Gomez AA. Statistical procedures for agricultural research. John Wiley and Sons. 1984;2(1):1-680.