Harvestify- Smart Innovative Agriculture System

Abstract

Agriculture is facing critical challenges such as climate variability, soil degradation, inefficient resource utilization, and low productivity. Farmers often rely on traditional practices and experience-based decision-making, which may not always result in optimal yields. This paper presents Harvestify, an AI-driven smart agriculture system designed to support farmers in crop selection, fertilizer optimization, and early plant disease detection. The system integrates soil nutrient data, climatic parameters, and plant images with machine learning and multimodal AI techniques. By leveraging intelligent models and mobile accessibility, Harvestify provides accurate, explainable, and cost-effective recommendations. Experimental evaluation and field observations demonstrate significant improvements in crop yield and reduction in input costs, making the system suitable for small and medium-scale farmers.