An Effective Image-Based Tomato Leaf Disease Segmentation Method Using MC-UNet.

Deng, Yubao; Xi, Haoran; Zhou, Guoxiong; Chen, Aibin; Wang, Yanfeng; Li, Liujun; Hu, Yahui.

Afiliación

Deng Y; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Xi H; College of Mechanical & Electrical Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Zhou G; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Chen A; College of Computer & Information Engineering, Central South University of Forestry and Technology, Changsha, 410004, Hunan, China.
Wang Y; National University of Defense Technology, 410015, Changsha, Hunan, China.
Li L; Department of Soil and Water Systems, University of Idaho, Moscow, ID, 83844, USA.
Hu Y; Plant Protection Research Institute, âAcademy of Agricultural Sciences, 410125, Changsha, Hunan, China.

Plant Phenomics ; 5: 0049, 2023.

Article en En | MEDLINE | ID: mdl-37228512

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Plant Phenomics Año: 2023 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Plant Phenomics Año: 2023 Tipo del documento: Article