Abstract: Plant pests and diseases are big problems for farmers because they often mean big loses in crops and food production. The project's goal is to use machine learning to create an easy and useful system that can predict early signs of plant diseases and pest attacks. The system can help the farmer predict early and take quick actions to protect the crops and also improve production. It collects information from pictures of plants and things surrounding it. It uses advanced tools like CNNs for the analysis of the pictures and signs of diseases and bugs. It has information regarding the environment so that the prediction becomes more precise and reliable. The system is an easy-to-use solution that helps farmers reduce losses, apply pesticides only where needed, and make the best decisions for their crops. This project protects the farmer’s produce and allows the crops to be grown more environmentally friendly. It can work well with almost all type of crops.

Keywords: Plants Pests and diseases, Image Quality, Sustainable, crops, CNN, Machine Learning.

Downloads: | DOI: 10.17148/IARJSET.2026.13443