What does this research mean for the field?

Although AI technologies offer advanced capabilities for agricultural extension, their actual farm-level impact remains limited by structural barriers, indicating that AI should augment rather than replace human extension capacity. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This review examines the role of artificial intelligence in transforming agricultural extension services and its impact on farmer advisory systems.

June 13, 2026Journal of Experimental Agriculture InternationalOpen Access

Artificial Intelligence in Agricultural Extension: Transforming Farmer Advisory Systems, Decision Support and Knowledge Delivery

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This review examines the role of artificial intelligence in transforming agricultural extension services and its impact on farmer advisory systems.
Synthesis of peer-reviewed literature and institutional sources on AI applications in agricultural extension.
Analysis of various AI tools including machine learning for crop management and deep learning for diagnostics.
Evaluation of structural barriers affecting the deployment of AI systems for smallholder farmers.
AI tools have advanced technically but show limited farm-level impact for smallholder farmers in low-income countries.
Barriers include the digital divide, algorithmic opacity, and inadequate extension infrastructure.
Effective deployment of AI requires coherent policy frameworks and inclusive design approaches.

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Implication

Critical review shows AI improves advisory tools in agriculture, highlighting challenges for equitable deployment.

Cite This Study

Neeraja et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf2a9faef96ed7f055666 https://doi.org/10.9734/jeai/2026/v48i64288

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Artificial Intelligence in Agricultural Extension: Transforming Farmer Advisory Systems, Decision Support and Knowledge Delivery

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Implication

Cite This Study

Artificial Intelligence in Agricultural Extension: Transforming Farmer Advisory Systems, Decision Support and Knowledge Delivery

Key Points

Discussion

Implication

Cite This Study

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