Cargando…
A survey on deep learning-based identification of plant and crop diseases from UAV-based aerial images
The agricultural crop productivity can be affected and reduced due to many factors such as weeds, pests, and diseases. Traditional methods that are based on terrestrial engines, devices, and farmers’ naked eyes are facing many limitations in terms of accuracy and the required time to cover large fie...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9362359/ https://www.ncbi.nlm.nih.gov/pubmed/35968221 http://dx.doi.org/10.1007/s10586-022-03627-x |