Implementation of Custom-Based Mobile-Network Model for Early Blight Detection in Tomatoes

Author:

Wellu Ziem PatrickORCID,Amissah Daniel KwameORCID,Wilson Matilda SerwaaORCID,Appati Justice KwameORCID

Publisher

Springer Nature Singapore

Reference24 articles.

1. Alberta OA-A, Calogero S, Aldo L (2023) Automatic blight disease detection in potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum L. 1753) plants using deep learning. Smart Agric Technol 4

2. Azadshahraki F, Sharifi K, Jamshidi B, Karimzadeh R, Naderi H (2022) Diagnosis of early blight disease in tomato plant based on visible/nearinfrared spectroscopy and principal components analysis—Artificial neural network prior to visual disease symptoms. J Agric Mach 12(1):81–94

3. Chuanqi XYS, Yong H (2015) Detection of early blight and late blight diseases on tomato leaves using hyperspectral imaging. Environ Sci 5

4. Elfatimi E, Eryigit R, Elfatimi L (2022) Beans leaf diseases classification using MobileNet models. Creative Commons 10:9471–9482

5. Ghosh S, Dasgupta R (2022) Machine learning and neglected tropical diseases. Mach Learn Biol Sci 103–111

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