Robotics & Machine Learning Daily News2024,Issue(Jun.11) :59-60.

Researchers from Gifu University Report Recent Findings in Machine Learning (Cri tical evaluation of the effects of a cross-validation strategy and machine learn ing optimization on the prediction accuracy and transferability of a soybean yie ld ...)

岐阜大学的研究人员报告了机器学习的最新发现(交叉验证策略和机器学习优化对大豆YIE LD预测精度和可转移性影响的理论评估...)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :59-60.

Researchers from Gifu University Report Recent Findings in Machine Learning (Cri tical evaluation of the effects of a cross-validation strategy and machine learn ing optimization on the prediction accuracy and transferability of a soybean yie ld ...)

岐阜大学的研究人员报告了机器学习的最新发现(交叉验证策略和机器学习优化对大豆YIE LD预测精度和可转移性影响的理论评估...)

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摘要

由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据NewsRx Corr Esspondents来自日本岐阜的新闻报道,研究表明:“作物产量预测模型是评估生长表现和为农场管理决策提供信息的关键工具。开发不仅在模型空间域范围内而且在其他地点使用数据驱动的APPRO ACH稳健的产量预测模型具有挑战性。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Gifu, Japan, by NewsRx corr espondents, research stated, “Crop yield prediction models are critical tools fo r evaluating growth performance and informing decisions during farm management. Developing yield prediction models that are robust not only in the ranges of the model spatial domain but also in additional locations using a data-driven appro ach is challenging.”

Key words

Gifu University/Gifu/Japan/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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