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Updated: Sep 13, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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在智能农业系统中,基于物联网的高效作物损害预测框架.

Nermeen Gamal Rezk1, Abdel-Fattah Attia2, Mohamed A El-Rashidy3

  • 1Department of Computer Science and Engineering, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, Egypt. nermeen_rezk@eng.kfs.edu.eg.

Scientific reports
|July 29, 2025
PubMed
概括

本研究提出了一个高效的物联网 (IoT) 框架,使用机器学习来预测作物损坏,即使缺少数据. XGBoost在预测作物健康状况和归纳智能农业应用数据方面表现出卓越的表现.

关键词:
对作物造成的损害.组合学习学习 组合学习输入技术是指输入的技术.机器学习 机器学习缺少的数据数据.预测 预测 预测智能农业是一种智能农业.

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