UAV imaging and deep learning based method for predicting residual film in cotton field plough layer

In this paper, a method for predicting residual film content in the cotton field plough layer based on UAV imaging and deep learning was proposed to solve the issues of high labour intensity, low efficiency, and high cost of traditional methods for residual film content monitoring. Images of residua...

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Detalles Bibliográficos
Autores principales: Qiu, Fasong, Zhai, Zhiqiang, Li, Yulin, Yang, Jiankang, Wang, Haiyuan, Zhang, Ruoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583170/
https://www.ncbi.nlm.nih.gov/pubmed/36275564
http://dx.doi.org/10.3389/fpls.2022.1010474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583170/
https://www.ncbi.nlm.nih.gov/pubmed/36275564
http://dx.doi.org/10.3389/fpls.2022.1010474

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