Adoption process of portable digital nutrient decision-support technologies: perennial experience of Shaanxi's kiwifruit smallholders

Digital decision-support tools for nutrient management have offered a promising entry point to precision agriculture, yet little is known about how smallholders engage with these tools over time. This study aimed to identify the decision stages and temporal pathways through which farmers adopted three portable digital nutrient decision-support technologies (PDDSTs) - soil testers, chlorophyll meters, and agro-advisory mobile applications. Using survey data from 675 kiwifruit growers in Shaanxi Province, China, we reconstructed adoption trajectories using Sankey diagrams and examined post-adoption patterns using transition matrices. The results showed that adoption was nonlinear and cyclical, with farmers frequently moving between trial, initial use, sustained use, reduced use, discontinuation, and reuse. Trial-based learning was strongly associated with sustained adoption, whereas direct adoption without prior trial was linked to higher disengagement risks. Concurrent use of multiple complementary tools further reinforced long-term commitment to site-specific nutrient management. These findings highlighted the importance of policies that expand access to PDDSTs through trial-enabled extension and distribution channels, support structured learning opportunities, and strengthen the market and institutional mechanisms needed to promote effective and sustained adoption among smallholders. • Farmers followed nonlinear and cyclical adoption paths of digital nutrient tools. • Trial-based learning reduced adoption delays and encouraged continued usage. • Adoption grew from individual tools to integrated soil, leaf, and app diagnostics. • Reuse after quitting reflects flexible decisions in perennial nutrient management. • Supportive institutions are vital to promote quality, complementary technologies.

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Publication Details

Journal
Journal of Agriculture and Food Research
Published
2026-03-13
DOI
https://doi.org/10.1016/j.jafr.2026.102836
Primary Topic
Smart Agriculture and AI
Type
article
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article

Adoption process of portable digital nutrient decision-support technologies: perennial experience of Shaanxi's kiwifruit smallholders

SHAUFIQUE FAHMI SIDIQUE, Yeong Sheng Tey, Ahmad Hanis Izani Abdul Hadi, Xia Li et al.
Journal of Agriculture and Food Research
Smart Agriculture and AI
article

Adoption process of portable digital nutrient decision-support technologies: perennial experience of Shaanxi's kiwifruit smallholders

SHAUFIQUE FAHMI SIDIQUE, Yeong Sheng Tey, Ahmad Hanis Izani Abdul Hadi, Xia Li, N. Mohd Nawi
article en

Abstract

Digital decision-support tools for nutrient management have offered a promising entry point to precision agriculture, yet little is known about how smallholders engage with these tools over time. This study aimed to identify the decision stages and temporal pathways through which farmers adopted three portable digital nutrient decision-support technologies (PDDSTs) - soil testers, chlorophyll meters, and agro-advisory mobile applications. Using survey data from 675 kiwifruit growers in Shaanxi Province, China, we reconstructed adoption trajectories using Sankey diagrams and examined post-adoption patterns using transition matrices. The results showed that adoption was nonlinear and cyclical, with farmers frequently moving between trial, initial use, sustained use, reduced use, discontinuation, and reuse. Trial-based learning was strongly associated with sustained adoption, whereas direct adoption without prior trial was linked to higher disengagement risks. Concurrent use of multiple complementary tools further reinforced long-term commitment to site-specific nutrient management. These findings highlighted the importance of policies that expand access to PDDSTs through trial-enabled extension and distribution channels, support structured learning opportunities, and strengthen the market and institutional mechanisms needed to promote effective and sustained adoption among smallholders. • Farmers followed nonlinear and cyclical adoption paths of digital nutrient tools. • Trial-based learning reduced adoption delays and encouraged continued usage. • Adoption grew from individual tools to integrated soil, leaf, and app diagnostics. • Reuse after quitting reflects flexible decisions in perennial nutrient management. • Supportive institutions are vital to promote quality, complementary technologies.

Journal of Agriculture and Food ResearchVol. 27
Universiti Putra Malaysia (MY), Ankang University (CN)
Zero hunger
Openalex Percentile: Top 23%
Smart Agriculture and AI
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