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Machine Learning for Tomato Disease Detection by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

What is Machine Learning for Tomato Disease Detection about?

This research aimed to harness the power of machine learning techniques for comprehensive analysis of tomato plants in the context of disease identification, seed type prediction, and NPK estimation. Deep learning models, including ResNet and VG19, were employed for disease identification and NPK prediction, while an Artificial Neural Network (ANN) model was utilized for seed type prediction.

Author

International Journal of Innovative Science and Research Technology

Language

EN