A Review of Successes and Impeding Challenges of IoT-Based Insect Pest Detection Systems for Estimating Agroecosystem Health and Productivity of Cotton.

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作者： Denis O,Kiobia ^[1] ; Canicius J,Mwitta ^[1] ; Kadeghe G,Fue ^[2] ; Jason M,Schmidt ^[3] ; David G,Riley ^[3] ; Glen C,Rains ^[1]

作者单位： College of Engineering, University of Georgia, Tifton, GA 31793, USA. ^[1] Department of Agricultural Engineering, School of Engineering Science and Technology, Sokoine University of Agriculture, Morogoro P.O. Box 3003, Tanzania. ^[2] Department of Entomology, University of Georgia, Tifton, GA 31793, USA. ^[3]

关键词 computer vision cotton pests machine learning pest control pest detection precision agriculture

主题词动物(Animals);人工智能(Artificial Intelligence);棉属(Gossypium);农业(Agriculture);算法(Algorithms)

DOI 10.3390/s23084127

PMID 37112469

发布时间 2023-05-01

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准确一般字义偏差语意偏离译文作用小提交