Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks.

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第一作者： Fen,Dai

第一单位： College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China.

作者： Fen,Dai ^[1] ; Fengcheng,Wang ^[2] ; Dongzi,Yang ^[3] ; Shaoming,Lin ^[4] ; Xin,Chen ^[1] ; Yubin,Lan ^[2] ; Xiaoling,Deng ^[1]

作者单位： College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China. ^[1] National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China. ^[2] Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China. ^[3] Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China. ^[4]

关键词 cascade R-CNN citrus psyllids deep learning small target detection small target enhancement

DOI 10.3389/fpls.2021.816272

PMID 35140732

发布时间 2023-11-03

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Frontiers in plant science

2021年12卷

816272页

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Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks.

Frontiers in plant science

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Detection Method of Citrus Psyllids With Field High-Definition Camera Based on Improved Cascade Region-Based Convolution Neural Networks.

Frontiers in plant science

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Frontiers in plant science

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