Sichuan Agricultural University Reports Findings in Machine Learning (Estimation of soybean yield based on high-throughput phenotyping and machine learning)

四川农业大学报告机器学习的发现(基于高通量表型和机器学习的大豆产量估计)

Robotics & Machine Learning Daily News2024，Issue(Jul.1) ：116-116.

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Sichuan Agricultural University Reports Findings in Machine Learning (Estimation of soybean yield based on high-throughput phenotyping and machine learning)

四川农业大学报告机器学习的发现(基于高通量表型和机器学习的大豆产量估计)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx记者从中华人民共和国成都发回的新闻报道，研究表明：“大豆是一种重要的食品、油料和饲料作物。然而，中国大豆的自给自足严重不足，年进口量超过80%。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Chengdu, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Soybeans are an important crop used for food, oil, and feed. However, China’s soybean self-suffi ciency is highly inadequate, with an annual import volume exceeding 80% .”

Key words

Chengdu/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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