Plant Disease Prediction System Using Deep Learning

Plant Disease Prediction System Using Deep Learning

Suyash Dhake1 , Jeet Trivedi2 , Manav Sachdeva3 , Asst. Prof. Ms. Monali Parikh 4
123Research Scholar, Institute of Information Technology, Krishna School Of Emerging Technology & Applied Research, KPGU University , Varnama, Vadodara, Gujarat, India

4 Assistant Professor, Department of Information Technology and Engineering, Krishna School Of Emerging Technology & Applied Research, KPGU University. Varnama, Vadodara, Gujarat, India

Abstract - Plant diseases significantly threaten global food security, resulting in substantial agricultural losses annually. Early detection and accurate classification of plant diseases can help farmers take timely preventive measures, thereby mitigating crop damage and improving yield. This research aims to develop a machine learning-based model on top of EfficientNetB3 for detecting and classifying plant diseases from leaf images. The proposed model has achieved 99.4% testing accuracy. This study is focused on a deep learning model to detect disease in plant leaves. But, in the future model can be integrated with a drone or any other system to detect diseases from plants and report the diseased plant's location to people so that they can be cured accordingly.

Key Words: Plant Disease, Convolution Neural Network (CNN), Deep Learning, Agriculture, and PlantVillage