Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India
Agriculture is increasingly characterized by a data paradox, while the sector generates massive volumes of genomic, climatic, remote sensing, and field data. Translating this information into actionable, farm-level insights remains a critical bottleneck. Traditional advisory mechanisms cannot operate at the spatial scales or provide the context-specificity needed for climate adaptation and food security. The work presents GenAI as a transformative interface that makes advanced agricultural scien
Record details
Published: 29 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Environment · Biotech
Retrieved: 30 July 2026
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ethics.ai (29 July 2026), “Bridging agronomic science and context specific farm-level advisory through generative AI for rice systems in India,” evidence record 14640, https://ethics.ai/record/14640 (originally published by Frontiers in Artificial Intelligence).
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