ABSTRACT
The proposed model of “Smart Agrohub: Integrating AI for Precision Farming and Agricultural Sustainability “is a far reaching project utilizing Man-made brainpower (computer based intelligence) and AI (ML) for ground breaking headways in farming. The framework incorporates modules that synergistically improve cultivating rehearses. For Harvest Suggestion, high level ML calculations like Choice Trees and Backing Vector Machines are utilized to examine occasional weather conditions, upgrading crop decisions. Compost Proposal uses calculations, for example, K-Means Clustering algorithm to tailor ideas in light of soil synthesis. Crop Illness Discovery incorporates Convolutional Neural Network (CNNs) to recognize infections from pictures, while Vermin Suggestion sends calculations like Apriori for affiliation rule mining. Crop Value Assessment integrates Linear Regression models to foresee market costs. A Rancher's Helping Chatbot controlled by Neural Language Processing (NLP) guarantees continuous, easy to understand collaboration, giving a comprehensive, information driven way to deal with accuracy cultivating and economical farming.
