The Implementation of Machine Learning in the Search to Fight Plant Disease

By:

Mohit Batra and Neha Bathla

Volume: 10 | Issue: 01 | Year 2024 | Subscription
International Journal of Image Processing and Pattern Recognition
Received Date: 12/04/2023
Acceptance Date: 01/04/2024
Published On: 2024-04-12
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Mohit Batra and Neha Bathla The Implementation of Machine Learning in the Search to Fight Plant Disease International Journal of Image Processing and Pattern Recognition. 2024; 10(01): -p.
Abstract

The agriculture business loses money and time due to plant diseases.  Diagnosing sickness accurately takes skill and devotion. Infected plants may have spots or streaks of a different colour on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research have determined how well ML reviews traditional plant disease diagnosis methods. Deep learning, a subset of ML, may increase plant disease identification accuracy with a CNN model.

Keywords- Machine learning, Plant disease, detection, deep learning, CNN, Accuracy Parameter

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Citation:

Mohit Batra and Neha Bathla The Implementation of Machine Learning in the Search to Fight Plant Disease International Journal of Image Processing and Pattern Recognition. 2024; 10(01): -p.

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