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Updated: May 10, 2025

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

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选择的二次差异特征 断棒回归 深卷积 神经学习分类 黄作物产量预测 神经学习分类

Raguvaran Krishnamoorthy1, Rajasekaran Chinnappan1, Jayanthi Krishnasamy Balasundaram1

  • 1Department of Electronics and Communication Engineering, K.S.Rangasamy College of Technology, Tiruchengode, India.

Network (Bristol, England)
|April 27, 2025
PubMed
概括

这项研究引入了一种用于黄作物疾病分类和产量预测的新技术. 移动NetV3 (小型) 显示出卓越的性能,在识别疾病和预测作物产量方面实现了高准确性.

关键词:
农业 农业 农业 农业破碎的棒回归回归农作物产量预测预测二次方位差异分析二次方位差异分析.选择的二次区分特征 断裂棒回归深卷积神经学习分类 (QDFSBSRDCNLC)

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