Identification of Anthracnose in Chillies using Deep Learning on Embedded Platforms
Author:
Affiliation:
1. School of Computer Science and Engineering, KLE Technological University,Hubballi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10127650/10127652/10127878.pdf?arnumber=10127878
Reference26 articles.
1. A comparison between VGG16, VGG19 and ResNet50 architecture frameworks for Image Classification
2. Quick Detection and Diagnosis of Chilli Fruit Rot Pathogens
3. Transfer Learning Based Plant Diseases Detection Using ResNet50
4. Plant disease detection using inceptionv3;mishalee lambat;IRJET,2022
5. Plant Disease Prediction and classification using Deep Learning ConvNets
Cited by 1 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. Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations;Frontiers in Plant Science;2024-03-13
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