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化学信息学和人工智能用于加速农业化学发现

Yannick Djoumbou-Feunang1, Jeremy Wilmot2, John Kinney1

  • 1Corteva Agriscience, Farming Solutions and Digital, Indianapolis, IN, United States.

Frontiers in chemistry
|December 14, 2023
PubMed
概括

由于耐药性和法规,农药的成本效益已经下降. 人工智能和化学信息学为发现可持续的作物保护剂提供创新解决方案,以满足不断增长的全球粮食需求.

关键词:
这是一个DMTA循环.农业化学品 农业化学品人工智能的人工智能是人工智能.化学信息学 化学信息学领先的代产生.领先优化优化 领先优化机器学习是机器学习.可持续性 可持续性 可持续性

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