Smart Harvest: Machine Learning Powered Agri-System For Sustainable Farming

Abstract

Agriculture stands as the lifeblood of humanity, feeding nations, driving economies, and fostering livelihoods worldwide. Amidst escalating challenges, this innovative Agri-system focuses on optimizing crop management while ensuring environmental sustainability. Smart Harvest, an innovative Agri-system, integrates machine learning (ML), deep learning and data-driven intelligence to revolutionize farming methodologies in alignment with the Sustainable Development Goal 2: Zero Hunger. It accurately predicts crops by leveraging historical data, weather patterns, and soil analyses, empowering farmers with insights for resource allocation and strategic planning. ML algorithms, it generates crop fertilizers aiding farmers in selecting sustainable crops suitable for their specific environment. Using image recognition and ML techniques, it identifies and predicts potential plant diseases, enabling proactive interventions to preserve crop yield. It prioritizes community engagement by fostering collaboration among farmers through an intuitive interface. Smart Harvest redefines farming practices, empowers farmers, ensures global food security, and champions sustainable agricultural methodologies, highlighting agriculture's critical role in shaping a prosperous and nourished world. In this paper aim to reduce the complexity of the supply chain and improve the quality of food and crops wastages.