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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |