Study of Smart Agriculture by using AI

Abstract

Smart Agriculture represents the integration of advanced technologies like Artificial Intelligence (AI), Internet of Things (IoT), and data analytics into farming practices to enhance productivity, sustainability, and efficiency. This study explores the parallels between digital lending innovations and their application in Smart Agriculture, focusing on how AI and data analytics optimize decision-making, improve operational efficiency, and increase accessibility to financial resources for farmers. The research highlights key aspects such as predictive analytics for yield estimation, automated farm management, fraud detection in supply chains, and alternative credit scoring for inclusive finance. Additionally, challenges such as connectivity issues, privacy concerns, and trust barriers are discussed. The findings suggest that leveraging technology and building transparent, farmer-centric platforms can transform agriculture, addressing critical issues like resource optimization, climate resilience, and financial inclusion. This paper underscores the need for tailored strategies to ensure seamless adoption of Smart Agriculture technologies, paving the way for a more sustainable and efficient agricultural ecosystem.