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Updated: Jun 4, 2025

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
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Published on: January 3, 2025

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利用机器学习优化农业投入,以提高大米生产效益

Tao Liu1, Xiafei Li1, Xinrui Li1

  • 1Crop Ecophysiology and Cultivation Key Laboratory of Sichuan Province, Rice Research Institute / State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China.

iScience
|December 17, 2024
PubMed
概括

在中国西南地区优化大米种植需要针对每种种植方式量身定制的策略. 机器学习确定了特定的输入调整,以提高产量和减少环境影响,机械移植显示出最有希望的结果.

关键词:
农业科学 农业科学机器学习是机器学习.

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