Cargando…
Yield estimation of high-density cotton fields using low-altitude UAV imaging and deep learning
BACKGROUND: China has a unique cotton planting pattern. Cotton is densely planted in alternating wide and narrow rows to increase yield in Xinjiang, China, causing the difficulty in the accurate estimation of cotton yield using remote sensing in such field with branches occluded and overlapped. RESU...
Autores principales: | Li, Fei, Bai, Jingya, Zhang, Mengyun, Zhang, Ruoyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044671/ https://www.ncbi.nlm.nih.gov/pubmed/35477580 http://dx.doi.org/10.1186/s13007-022-00881-3 |
Ejemplares similares
-
UAV imaging and deep learning based method for predicting residual film in cotton field plough layer
por: Qiu, Fasong, et al.
Publicado: (2022) -
Estimating yield-contributing physiological parameters of cotton using UAV-based imagery
por: Pokhrel, Amrit, et al.
Publicado: (2023) -
A longan yield estimation approach based on UAV images and deep learning
por: Li, Denghui, et al.
Publicado: (2023) -
Field pest monitoring and forecasting system for pest control
por: Liu, Chengkang, et al.
Publicado: (2022) -
Evaluation of residual plastic film pollution in pre-sowing cotton field using UAV imaging and semantic segmentation
por: Zhai, Zhiqiang, et al.
Publicado: (2022)