园艺学报（英文版）2026，Vol.12Issue(1)：149-160,12.DOI:10.1016/j.hpj.2022.09.013
Nondestructive detection of key phenotypes for the canopy of the watermelon plug seedlings based on deep learning
Nondestructive detection of key phenotypes for the canopy of the watermelon plug seedlings based on deep learning
Lei Li 1Zhilong Bie 2Yi Zhang 1Yuan Huang 2Chengli Peng 3Binbin Han 4Shengyong Xu1
作者信息
- 1. College of Engineering/Key Laboratory of Agricultural Equipment for the Middle and Lower Reaches of the Yangtze River,Ministry of Agriculture,Huazhong Agricultural University,Wuhan,Hubei 430070,China||Shenzhen Institute of Nutrition and Health,Huazhong Agricultural University,Shenzhen,Guangdong 518000,China||Shenzhen Branch,Guangdong Laboratory for Lingnan Modern Agriculture,Genome Analysis Laboratory of the Ministry of Agriculture,Agricultural Genomics Institute at Shenzhen,Chinese Academy of Agricultural Sciences,Shenzhen,Guangdong 518000,China
- 2. College of Horticulture and Forestry Sciences/Key Laboratory of Horticultural Plant Biology,Ministry of Education,Huazhong Agricultural University,Wuhan,Hubei 430070,China
- 3. Electronic Information School,Wuhan University,Wuhan,Hubei 430072,China
- 4. School of Mathematics and Computer Science,Wuhan Polytechnic University,Wuhan,Hubei 430048,China
- 折叠
摘要
关键词
Watermelon seedlings/Azure Kinect/Canopy/Phenotype detection/Deep learningKey words
Watermelon seedlings/Azure Kinect/Canopy/Phenotype detection/Deep learning引用本文复制引用
Lei Li,Zhilong Bie,Yi Zhang,Yuan Huang,Chengli Peng,Binbin Han,Shengyong Xu..Nondestructive detection of key phenotypes for the canopy of the watermelon plug seedlings based on deep learning[J].园艺学报（英文版）,2026,12(1):149-160,12.基金项目
This work was funded by the National Key Research and Development Program of China(Grant No.2019YFD1001900) （Grant No.2019YFD1001900）
the HZAU-AGIS Cooperation Fund(Grant No.SZYJY2022006). （Grant No.SZYJY2022006）
