Year: 2025
Type: article
Abstract: Leaf Alert is a Streamlit-based Web Application designed to detect whether a plant is diseased or healthy using deep learning. The system uses a convolutional neural network (CNN) trained on the PlantVillage dataset to classify diseases based on leaf shape and colour. It allows users to upload multiple images for prediction via an intuitive web-interface. The model was trained using Kaggle for higher computational resources and it also targets issues such as overfitting to improve accuracy. Leaf Alert increases agricultural productivity by providing AI- powered early warning solutions. This paper describes the design, development and evaluation of the application and compares it with similar web-based plant disease management systems such as plantix and ai powered plant disease detection.
Institution: Parul University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
OpenAlex ID: W4408551092