How to govern AI in agriculture responsibly: risks, tools and solutions
OECD AI Policy Observatory OECD Published: 2025-07-16 10:02:32
The integration of data and artificial intelligence (AI) into agriculture and food systems has been rapidly increasing, with innovations like soil sensors, satellite imagery, and AI-powered crop management tools reshaping traditional farming practices. This transformation includes advancements such as disease monitoring and prediction, supply chain traceability systems, and weather forecasting models, aiming to enhance efficiency and sustainability in the agriculture sector.
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<p>The integration of data and artificial intelligence (AI) into agriculture and food systems has accelerated in recent years. Innovations such as soil sensors, satellite imagery, AI-powered crop management tools, disease monitoring and prediction, supply chain traceability systems, and weather forecasting models are transforming traditional farming and food production. For example, precision agriculture allows farmers to […]</p>
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