Identification and counting of mature apple fruit based on BP feed forward neural network

Author:

Lal Shreya,Behera Santi Kumari,Sethy Prabira Kumar,Rath Amiya Kumar

Publisher

IEEE

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A lightweight model based on you only look once for pomegranate before fruit thinning in complex environment;Engineering Applications of Artificial Intelligence;2024-11

2. YOLOv5s-CEDB: A robust and efficiency Camellia oleifera fruit detection algorithm in complex natural scenes;Computers and Electronics in Agriculture;2024-06

3. Artificial Intelligence-based Solar Powered Robot to Identify Weed and Damage in Vegetables;Future Farming: Advancing Agriculture with Artificial Intelligence;2023-10-22

4. Detection and Counting of the Number of Cocoa Fruits on Trees Using UAV;2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT);2023-07-13

5. A Novel Classification Model of Date Fruit Dataset Using Deep Transfer Learning;Electronics;2023-01-28

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