Assessment of state-of-the-art deep learning based citrus disease detection techniques using annotated optical leaf images

Author:

Dananjayan Sathian,Tang Yu,Zhuang Jiajun,Hou Chaojun,Luo Shaoming

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference47 articles.

1. Solving current limitations of deep learning based approaches for plant disease detection;Arsenovic;Symmetry,2019

2. Automated plant leaf disease detection and classification using optimal MobileNet based convolutional neural networks;Ashwinkumar;Mater. Today:. Proc.,2021

3. On developing and enhancing plant-level disease rating systems in real fi elds;Atoum;Pattern Recogn.,2016

4. Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease;Barman;Comput. Electron. Agric.,2020

5. Citrus: World Markets and Trade | USDA Foreign Agricultural Service;Blauer;USDA Foreign Agricultural Service,2020

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