Cargando…
Hydroponic lettuce defective leaves identification based on improved YOLOv5s
Achieving intelligent detection of defective leaves of hydroponic lettuce after harvesting is of great significance for ensuring the quality and value of hydroponic lettuce. In order to improve the detection accuracy and efficiency of hydroponic lettuce defective leaves, firstly, an image acquisitio...
Autores principales: | Jin, Xin, Jiao, Haowei, Zhang, Chao, Li, Mingyong, Zhao, Bo, Liu, Guowei, Ji, Jiangtao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641003/ https://www.ncbi.nlm.nih.gov/pubmed/37965019 http://dx.doi.org/10.3389/fpls.2023.1242337 |
Ejemplares similares
-
Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield
por: Mokhtar, Ali, et al.
Publicado: (2022) -
Effect of LED Spectrum on the Quality and Nitrogen Metabolism of Lettuce Under Recycled Hydroponics
por: Li, Jie, et al.
Publicado: (2021) -
Yield, nutrition, and leaf gas exchange of lettuce plants in a hydroponic system in response to Bacillus subtilis inoculation
por: Oliveira, Carlos Eduardo da Silva, et al.
Publicado: (2023) -
Performance analysis of two typical greenhouse lettuce production systems: commercial hydroponic production and traditional soil cultivation
por: Wang, Lichun, et al.
Publicado: (2023) -
Air Distribution in a Fully-Closed Higher Plant Growth Chamber Impacts Crop Performance of Hydroponically-Grown Lettuce
por: Peiro, Enrique, et al.
Publicado: (2020)