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Deep Learning for Early Disease Detection: A CNN Approach to Classify Potato, Tomato, and Pepper Leaf Diseases

2024-06-14

Abstract excerpt

Early disease detection is crucial for maximizingcrop yields and minimizing financial losses in agriculture. Inorder to categorise leaf diseases in pepper, tomato, and potato plants, this study suggests a revolutionary CNN design. The algorithm collects disease-specific features from input photos by using data augmentation techniques to artificially enlarge the training dataset. ReLU-activated convolutional layers...

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Literature Corpus work
9bf3cc4f-3431-5467-8724-dc72a875f650
DOI
10.20944/preprints202406.0986.v1
Open publication

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Deep Learning for Early Disease Detection: A CNN Approach to Classify Potato, Tomato, and Pepper Leaf DiseasesDOI 10.20944/preprints202406.0986.v1
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