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
- Dr. Sinciya P.O, AN EFFECT OF DISTANCE MEASURES IN CLASSIFYING LARGE DATASETS , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Manjima M A, Soumya Anand, Partial Replacement of bitumen by Plant Polymer Lignin in Bituminous Pavement , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Allen Sebastian, Dr.Nitha C Velayudhan, Fara P K , Sahla Parwin, Ramsin Rassal P G, FitQuest: Gamify Your Workout , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rony Sebastian Tomson, Alan Leejoy, Nandagopan L, Althaf Rahman, Angitha George, Reson Studio: An AI Integrated Digital Audio Workstation for Intelligent and Collaborative Music Production , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Fabeela Ali Rawther, Raihana Rasaldeen, Stefi Marshal Fernandez, Irin Rose Jaison, Ria Mariam Mathews, A Survey on Automating Answer-Sheet Evaluation Using AI Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Harinaranayana Bobi, Irene Elizabeth , Fathima Ishana K.M, Delin Raj, Honey Joseph, CureVeda:Personalized Ayurvedic Remedies Powered by AI with Expert Consultation , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ann Mary Babu, Anto K Thomas, Aswin Sebastian, Beffin K Lalu, Dr Jacob John, Assistive Technology For Deaf And Dumb , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Rohan R Krishna, Ron Mathew Modayil, Tintu Alphonsa Thomas, Saran Sankar, Rosh Aben Jacob, Better Banking: Smart Approach to Financial Decision Making , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- K A Arun, Christine Maria Jose , Ann Mathew, Elizabeth Jullu, Lida K Kuriakose, Location-Based Alarm Systems and Service Recommendations for Enhanced Travel Management , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lakshmy Suresh K , Joanna Danniel, Mariya Binoy, R Neenu, BookVerse: A Platform for Book Reviews and Resale , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.