This paper outlines an all-encompassing approach towards creating a single unified web system based on the needs of a farmer, in the form of an efficient Agri-query chatbot and an image recognition tool. Utilizing advanced Natural Language Processing (NLP) techniques, the chatbot instantly responds to frequently asked agricultural questions related to crop management, and pest control and provides farmers with updates on weather information and market prices. The plant disease detection system uses the VGG-16 Convolutional Neural Network (CNN) model, which classifies input images to accurately identify whether the user-uploaded image contains a plant disease or not. The VGG-16 model serves as the backbone of the system which is considered deep and provides effective feature extraction for good classification accuracy enabling early disease detection without physician support for smooth management.