What question did this study set out to answer?

The aim is to develop an automated system for identifying plant diseases from leaf images using deep learning techniques.

August 5, 2026Open Access

Plant Disease Prediction System Using Deep Learning and Image Analysis

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Randomized trial demonstrates improved plant disease detection in agriculture, suggesting enhanced crop management.

The aim is to develop an automated system for identifying plant diseases from leaf images using deep learning techniques.
Utilized MobileNetV2 architecture pre-trained on ImageNet for disease classification.
Fine-tuned model on the PlantVillage dataset with images of healthy and diseased leaves.
Achieved an accuracy of 90.47% and a precision of 91.18%.
Achieved 90.47% classification accuracy with 91.18% precision.
Proposed system enables rapid and accurate plant disease detection.
User-friendly web interface enhances accessibility for farmers.

Mr. Sushant Puramwar, Mr. Tukaram Joshi, Mr. Rameshwar Paradkar, Ms. Amrapali Salve (2026) studied this question.

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August 5, 2026Open Access

View Full Paper

Ask AI

Bookmark

Authors

Randomized trial demonstrates improved plant disease detection in agriculture, suggesting enhanced crop management.

The aim is to develop an automated system for identifying plant diseases from leaf images using deep learning techniques.
Utilized MobileNetV2 architecture pre-trained on ImageNet for disease classification.
Fine-tuned model on the PlantVillage dataset with images of healthy and diseased leaves.
Achieved an accuracy of 90.47% and a precision of 91.18%.
Achieved 90.47% classification accuracy with 91.18% precision.
Proposed system enables rapid and accurate plant disease detection.
User-friendly web interface enhances accessibility for farmers.

Mr. Sushant Puramwar, Mr. Tukaram Joshi, Mr. Rameshwar Paradkar, Ms. Amrapali Salve (2026) studied this question.

View Full Paper

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