Detecting Plant Diseases from Leaves Recommending Homemade Pesticide Recipe

Abstract

This final year project aims to develop a neural network-based system that utilizes image recognition technology to recommend homemade pesticides for four common plant diseases found in residential settings. The project focuses on identifying and providing suitable homemade pesticide formulations for the following plant diseases: Mealybugs, Upward curling disease, insects pests and fungal. By leveraging the capabilities of neural networks, this system aims to offer personalized and eco-friendly solutions for homeowners to effectively manage these plant diseases.