What does this research mean for the field?

While AI technologies hold significant promise for boosting agricultural productivity in smallholder farming, their adoption is highly variable and heavily constrained by socio-economic, behavioral, and structural barriers that require context-sensitive and inclusive interventions to overcome. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate the applications, productivity benefits, adoption barriers, and facilitating factors associated with artificial intelligence technologies in smallholder precision agriculture.

August 22, 2026Discover Global SocietyOpen Access

Systematic review of artificial intelligence in precision agriculture for smallholder farmers

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To evaluate the applications, productivity benefits, adoption barriers, and facilitating factors associated with artificial intelligence technologies in smallholder precision agriculture.
Conducted a systematic review of 50 peer-reviewed research papers sourced from major academic databases.
Synthesized findings across technical performance, behavioral determinants, socioeconomic constraints, and agricultural policy frameworks.
Identified primary agricultural AI use cases including machine learning-based plant disease diagnosis, yield modeling, smart irrigation, and automated decision support systems.
Found that farm-level technology adoption is constrained by high equipment costs, low digital literacy, poor rural connectivity, and inadequate extension services despite clear productivity gains.
Showed that human-centered design, inclusive policies, and collaborative innovation systems serve as critical enablers for equitable technology uptake.

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Implication

Systematic review reveals key applications and socioeconomic barriers to artificial intelligence adoption in smallholder farming, highlighting the need for inclusive, context-sensitive tools.

Cite This Study

Sandip Satpati (2026) studied this question.

synapsesocial.com/papers/6a895eaeca7ade938187cc89 https://doi.org/10.1007/s44282-026-00546-9

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Implication

Systematic review reveals key applications and socioeconomic barriers to artificial intelligence adoption in smallholder farming, highlighting the need for inclusive, context-sensitive tools.

Systematic review of artificial intelligence in precision agriculture for smallholder farmers

Key Points

Discussion

Implication

Cite This Study

Systematic review of artificial intelligence in precision agriculture for smallholder farmers

Key Points

Discussion

Implication

Cite This Study

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