A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES
Abstract
Plant diseases significantly impact agricultural productivity, leading to major crop losses. Early detection and timely treatment are essential to minimize damage. This project introduces a Machine Learning-based mobile application for detecting diseases in tomato, grape, mango, and corn leaves using Convolutional Neural Networks (CNNs) with over 95% accuracy. Once detected, the system suggests appropriate treatments like fungicide application, pruning, or improved irrigation.
Implemented with TensorFlow, OpenCV, and the PlantVillage dataset, the app allows farmers to capture leaf images for real-time diagnosis and treatment recommendations. It also features a mapping system for locating nearby remedy stores and a stock management system for shop owners to update product availability and prices. By integrating AI, smart farming, and marketplace features, this project enhances efficiency, reduces crop losses, and improves overall agricultural productivity.
Keywords:
Plant disease detection, Machine Learning, Convolutional Neural Networks (CNNs),, OpenCV,, TensorFlow,, PlantVillage dataset, Smart farming, Agricultural productivity, Mapping system, Stock management.
Published
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Nihal Anil, Ms. Nighila Abhish, Jesila Joy , Noora Sajil , P R Vishnuraj, Augmented Neat Algorithm For Enhanced Cognitive Interaction (NEAT-X) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jacob George, Jerin Xavier, Jovin J George, Joyel Xavier, Subini Therese Babu, Pharmaceutical Sales Forecasting using Machine Learning , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Honey Joseph, Aaron M Vinod, Abin Mathew varghese, Aby Alex, Aleena Sain, Crop Yield Prediction Using ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rhea Maria James, Richy Sara George, Sayooj Kumar M, Nihal Muhammed Ayoob, Shan Krishna, Tintu Alphonsa Thomas, A Machine Learning Framework for Tumour Classification Using Transcriptomic and Multi-Omics Datasets , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Amala Jayan, Feneesha V B, Rameesa Dilsa C P, Sandra Maryam Binu, Sandra Maryam Binu, Stockwise: A survey on stock price prediction models , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amrutha Priya C B, Nitha C Velayudhan, Arjun K S, Aleena Francis, Divya P S, AI Enabled Robot for Data Collection in Unreachable and Extreme Environment , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 2 (2026): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Rince Joseph AS , Rinil Johns , Rinku Theres Jose, Riya Ann Sojan, Siju John , Interview Preparation System: A Smart Platform for Technical and Behavioral Readiness , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Dipjyoti Deka, Rituparna Seal, Shubham Banik, Unmasking Fraudulent Job Ads: A Critical Review of Machine Learning Techniques for Detecting Fake Jobs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.