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Updated: Jul 19, 2025

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
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Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

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功能增强指导网络用于高密度朱的产量估计

Fengna Cheng1, Juntao Wei2, Shengqin Jiang3

  • 1College of Energy and Power Engineering, Nanjing Forestry University, Nanjing, 210037, China. cfn1218@163.com.

Plant methods
|August 16, 2023
PubMed
概括

这项研究引入了一种新的人工智能方法,用于在密集的果园中准确预测朱果的产量. 功能增强指导网络提高了计数准确性,优于现有方法,用于更好的农业自动化.

关键词:
卷积神经网络是一种卷积神经网络.密度地图 密度地图功能增强 功能增强 功能增强对象计数 计数对象计数回归是一种回归.

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