Cargando…
Detection of Defective Lettuce Seedlings Grown in an Indoor Environment under Different Lighting Conditions Using Deep Learning Algorithms
Sorting seedlings is laborious and requires attention to identify damage. Separating healthy seedlings from damaged or defective seedlings is a critical task in indoor farming systems. However, sorting seedlings manually can be challenging and time-consuming, particularly under complex lighting cond...
Autores principales: | Hamidon, Munirah Hayati, Ahamed, Tofael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10346403/ https://www.ncbi.nlm.nih.gov/pubmed/37447645 http://dx.doi.org/10.3390/s23135790 |
Ejemplares similares
-
Detection of Tip-Burn Stress on Lettuce Grown in an Indoor Environment Using Deep Learning Algorithms
por: Hamidon, Munirah Hayati, et al.
Publicado: (2022) -
Using leaf spectroscopy and pigment estimation to monitor indoor grown lettuce dynamic response to spectral light intensity
por: Cammarisano, Laura, et al.
Publicado: (2022) -
Phyllosphere Microbiota Composition and Microbial Community Transplantation on Lettuce Plants Grown Indoors
por: Williams, Thomas R., et al.
Publicado: (2014) -
Sooty Mold Detection on Citrus Tree Canopy Using Deep Learning Algorithms
por: Apacionado, Bryan Vivas, et al.
Publicado: (2023) -
Photosynthetic Acclimation of Shade-Grown Soybean Seedlings to a High-Light Environment
por: Su, Yahan, et al.
Publicado: (2023)