First published 9/29/2026, 6:58:15 PM · Last updated 9/29/2026, 6:58:30 PM

AI Application in Agriculture in Developing Countries: Insights from a Systematic Literature Review

A Springer Nature book chapter published 2026-10-06 presents a systematic literature review analyzing how artificial intelligence is applied to agriculture in developing countries. The excerpt identifies the item as a book chapter from Springer Nature Switzerland but provides no additional details.

Categories: science-and-space, technology, environment-and-climate

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence: 5/10How certain the assessment is based on the clarity and evidence in the cited reporting.
Geographic reach: 6/10How widely the event reaches, from a local area (1) to worldwide impact (10).
Global importance: 3/10The event's broader significance, from limited importance (1) to major global importance (10).
Impact magnitude: 3/10The scale or severity of the real-world impact, from minor (1) to extreme (10).
Positivity: 6/10How harmful or beneficial the event is, from strongly harmful (1) to strongly positive (10).
Urgency: 1/10How time-sensitive the event is, from low urgency (1) to immediate attention needed (10).

Why it matters

The chapter synthesizes academic evidence about AI uses in agriculture for developing-country contexts, which can inform researchers and practitioners.

Sources

AI Application in Agriculture in Developing Countries: Insights from a Systematic Literature Review

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