Potato Leaf Disease Detection Using VIT
Abstract
Potatoes are important for global meals security, but are liable to diseases including fungi, nematodes, viruses, early Blight,and bug damage, which reduces yields and financial losses for farmers. The mission takes benefit of the imaginative and prescient transformer (VIT) to detect accurate and efficient potato disease by using collecting a diverse dataset of potato leaf pics and implementing preprocess and statistics expansion strategies for strong version education. A safe login, an administrator dashboard, and a consumer with a chatbot for real time conversation-will increase growth, whilst the integrated
climate forecast will help farmers to estimate the outbreak of the sickness. Better photograph category abilities of VIT models will be evaluated with non-stop improvement to growth performance, accuracy, recollect and F1-rating. With practical treatment and practical gadget consisting of climate forecasts,this system offers rights to support global food safety, reduce pesticides and promote productivity.
Keywords:
Vision Transfomers (VIT),, Image Classification, Convolutional Neural Networks (CNN), Artificial Intelligence (AI), Deep Learning, Machine Learning, Agricultural TechnologyPublished
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
- Sreyas George, Gregan George, Ruth Tennyson, Rishil Shajan, Dr. Juby Mathew, MindPulse: Employee Mental Health Detection and Attrition Prediction App , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Angelina Kanjooparambil Joseph, Angel Rose Sanoj, Bewin P. G., Fabeela Ali Rawther, A Review on Prompt Engineering in Agriculture , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Layana S Pradeep, Milen Ninan Ittiyeipe, Shahina S, Soumya A S, Ojus Thomas Lee , Gayathri Mohan, A REVIEW OF LOAD ESTIMATION AND DISTRIBUTION STRATEGY FOR RENEWABLE ENERGY SOURCES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Joel Lee George, Karthik S Kumar , Riya Merce Thomas, Roshan Roy Varghese, Simy Mary Kurian, Epidemo A Machine Learning Regression-Based , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amal P Varghese , Juby Mathew, Advancements in Vehicular Communication Systems: Integrating IoT, Edge Cloud Computing, Microgrid Energy Management, Blockchain, AI, and Simulation Tools , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Nivedh Mohanan, Subhash P C, Subin K S, Subin V Ninan, Elisabeth Thomas, S N Kumar, A Qualitative Study on Segmentation of MR Images of Brain for Neuro Disorder Analysis , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): 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
- M Midhun, Sangeetha Tony, Tibin Abraham, B Vyshnav, ACCIDENT DETECTION USING VIDEO SURVEILLANCE , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- V Naveen, S Rekha, A Concise Review On E-Commerce Website For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
