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This collection explores how artificial intelligence can advance sustainable agriculture by enhancing the understanding, monitoring, prediction, and management of agroecosystems across scales, integrating data-driven and process-based approaches to support resilient, efficient, and environmentally sustainable food systems.

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Artificial Intelligence for Sustainable Agriculture: From Agroecosystem Understanding to Predictive Management Across Scales

  • 专题合集

  • 发表日期：

    2026年

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摘要

This collection explores how artificial intelligence can advance sustainable agriculture by enhancing the understanding, monitoring, prediction, and management of agroecosystems across scales, integrating data-driven and process-based approaches to support resilient, efficient, and environmentally sustainable food systems.