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April 10, 20260 citationsOpen Access

Plant Disease Detection and Prediction Using Deep Learning Techniques

Plant Disease Analysis and Prediction Using Deep Learning

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Authors

MMMona Rakshana M. MMRMonish. RRAR. Aishwarya

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Overview

This project demonstrates a machine learning system for identifying plant diseases, suggesting improvements in farming practices.

Key Points

  • The aim is to develop a system that detects plant diseases using deep learning to enhance crop health.
  • Developed a deep learning model using TensorFlow
  • Trained on a diverse dataset of healthy and diseased plant leaf images
  • Implemented image processing techniques to analyze leaf characteristics
  • Deployed the model via a user-friendly web interface for image uploads
  • Provided diagnostic outputs and recommendations for disease management
  • Achieved accurate classification of plant health conditions based on uploaded images
  • Enabled quicker diagnosis compared to traditional methods
  • Minimized reliance on expert consultation for disease identification
  • Contributed to sustainable farming and improved agricultural productivity

Cite This Study

M et al. (2026) studied this question.

synapsesocial.com/papers/69d896a46c1944d70ce083d3https://doi.org/10.5281/zenodo.19469532
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deep Learning-Based Detection Of Plant Diseases Using Leaf Image Analysis2026
  2. 2Deep Learning-Based Detection Of Plant Diseases Using Leaf Image Analysis2026
  3. 3Plant Disease Prediction System Using Deep Learning and Image Analysis2026
  4. 4Plant Disease Recognition Using Deep Learning2025
  5. 5An Intelligent Leaf Image–Based Plant Disease Detection and Pesticide Recommendation System Using Deep Learning2026