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Updated: Sep 18, 2025

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
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A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

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基于深度学习的时间序列预测,用于准确的田间作物保护.

Tao He1, Meijin Li2, Dong Jin3

  • 1School of Intelligent Manufacturing, Wenzhou Polytechnic, Wenzhou, China.

Frontiers in plant science
|June 24, 2025
PubMed
概括

这项研究引入了一个新的深度学习框架,SADF-Net和RAADA,用于精准农业,显著改善了作物产量预测和资源管理,以实现可持续农业.

关键词:
深度学习是一种深度学习.精准农业 精准农业 精准农业资源优化 资源优化时间空间建模.时间序列预测时间序列预测

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