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Updated: Sep 15, 2025

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进步的作物推系统与监督机器学习和可解释的人工智能

Sourabh Shastri1, Sachin Kumar1, Vibhakar Mansotra1

  • 1Department of Computer Science and IT, University of Jammu, Jammu, Jammu and Kashmir, India.

Scientific reports
|July 15, 2025
PubMed
概括

这项研究引入了一种机器学习模型用于作物推,达到99%以上的准确性. 该模型使用梯度增强和可解释的人工智能 (XAI) 来帮助农学家选择最佳作物以提高农业生产率.

关键词:
农业 农业 农业 农业建议作物的作物建议.可解释的人工智能梯度增强可以提高梯度.机器学习是机器学习.

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