[HTML][HTML] Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data

C Zhang, Z Xie, J Shang, J Liu, T Dong, M Tang… - The Crop Journal, 2022 - Elsevier
Accurate information about phenological stages is essential for canola field management
practices such as irrigation, fertilization, and harvesting. Previous studies in canola …

Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data

C Zhang, Z Xie, J Shang, J Liu, T Dong, M Tang… - 2022 - agris.fao.org
Accurate information about phenological stages is essential for canola field management
practices such as irrigation, fertilization, and harvesting. Previous studies in canola …

Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data.

C Zhang, J Shang, J Liu, T Dong… - Crop Journal …, 2022 - search.ebscohost.com
Accurate information about phenological stages is essential for canola field management
practices such as irrigation, fertilization, and harvesting. Previous studies in canola …

Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data

C Zhang, Z Xie, J Shang, J Liu, T Dong, M Tang… - The Crop …, 2022 - sciopen.com
Detecting winter canola (Brassica napus) phenological stages using an improved shape-model
method based on time-series UAV spectral data EN LOGIN REGISTER All data generated …

Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data.

C Zhang, Z Xie, J Shang, J Liu, T Dong, M Tang… - 2022 - cabidigitallibrary.org
Accurate information about phenological stages is essential for canola field management
practices such as irrigation, fertilization, and harvesting. Previous studies in canola …

[引用][C] Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data

C Zhang, Z Xie, J Liu, T Dong, M Tang, S Feng, H Cai - 2022