CPD-YOLO: A cross-platform detection method for cotton pests and diseases using UAV and smartphone imaging

已完结 20 由呆呆兽发布于 2026/11/13 16:11:33

DOI:10.1016/j.indcrop.2025.121515
作者：Guowei Yu ,?Benxue Ma ,?Ruoyu Zhang ,?Ying Xu ,?Yuzhu Lian ,?Fujia Dong
文献类型：期刊论文
补充材料：只需要正文

其它数据库

Abstract：Cotton is a major industrial crop and a primary raw material for textiles worldwide. Intelligently detecting pests and diseases is crucial for automating cotton cultivation management. This

应助信息

3小时前

Book学术机器人

4489d6edf52c11f0852134735aa3bc31.pdf 已采纳

3小时前

Book学术机器人

2026/11/13 16:11:34 Book学术AI机器人已找到文献并上传

2026/11/13 16:11:33 Book学术AI机器人收到请求，开始寻找文献

2026/11/13 16:11:33 已向机器人发送请求

3小时前

呆呆兽发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:其它数据库3D Modelling and Feasibility Assessment of Granite Deposit using 2D Electrical Resistivity Tomography, Borehole, and Unmanned Aerial Vehicle Survey