棉花研究（英文）2024，Vol.7Issue(2)：148-162,15.DOI:10.1186/s42397-024-00178-x
A novel nondestructive detection approach for seed cotton lint percentage using deep learning
A novel nondestructive detection approach for seed cotton lint percentage using deep learning
摘要
关键词
Neural network/MobileNetV2/Nondestructive detection/Smart agriculture/Seed cotton lint percentageKey words
Neural network/MobileNetV2/Nondestructive detection/Smart agriculture/Seed cotton lint percentage引用本文复制引用
GENG Lijie,YANG Kun,YAN Pengji,JI Zhikun,SONG Chunyu,SONG Shuaifei,ZHANG Ruiliang,ZHANG Zhifeng,ZHAI Yusheng,JIANG Liying..A novel nondestructive detection approach for seed cotton lint percentage using deep learning[J].棉花研究（英文）,2024,7(2):148-162,15.基金项目
This research was funded by the National Natural Science Foundation of China(Grant number:11904327,61905223,and 62073299),Training Plan of Young Backbone Teachers in Universities of Henan Province(2023GGJS087),Henan Provincial Science and Technology Research Project(222102110279,222102210085,and 242102210157),the Project of Central Plains Science and Technology Innovation Leading Talents(224200510026). （Grant number:11904327,61905223,and 62073299）
