Detection of nutrient deficiencies in banana plants using deep learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9465172/9465173/09465311.pdf?arnumber=9465311
Cited by 11 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 Convolution Neural Network with Skip Connections (CNNSC) approach for detecting micronutrients boron and iron deficiency in banana leaves;Journal of Umm Al-Qura University for Engineering and Architecture;2024-05-28
2. Classification of Banana Plant Leaves Based on Nutrient Deficiency Using Vision Transformer;2024 5th International Conference for Emerging Technology (INCET);2024-05-24
3. Vitamin Deficiency Detection Using Neural Networks;2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET);2024-03-21
4. Deep Transfer Learning for Image Classification of Phosphorus Nutrition States in Individual Maize Leaves;Electronics;2023-12-19
5. CNN Models for Identification of Macro-Nutrient Deficiency in Onion Leaves (Allium cepa L.);2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27
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