Your browser doesn't support javascript.
loading
YOLO POD: a fast and accurate multi-task model for dense Soybean Pod counting.
Xiang, Shuai; Wang, Siyu; Xu, Mei; Wang, Wenyan; Liu, Weiguo.
Affiliation
  • Xiang S; College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China.
  • Wang S; Key Laboratory of Crop Ecophysiology and Farming System in Southwest China (Ministry of Agriculture), Sichuan Engineering Research Center for Crop Strip Intercropping System, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China.
  • Xu M; College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China.
  • Wang W; Key Laboratory of Crop Ecophysiology and Farming System in Southwest China (Ministry of Agriculture), Sichuan Engineering Research Center for Crop Strip Intercropping System, Sichuan Agricultural University, Chengdu, 611130, People's Republic of China.
  • Liu W; College of Agronomy, Sichuan Agricultural University, 211-Huimin Road, Wenjiang District, Chengdu, 611130, People's Republic of China.
Plant Methods ; 19(1): 8, 2023 Jan 28.
Article in En | MEDLINE | ID: mdl-36709313
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Plant Methods Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Plant Methods Year: 2023 Document type: Article