AI-Integrated Space-Based Agricultural Intelligence System for Sustainable and Climate-Resilient Farming

Abstract

Agriculture is increasingly affected by climate variability, resource depletion, and unpredictable weather conditions. The integration of space-based technologies with Artificial Intelligence (AI) offers a transformative approach to modern farming. This paper explores the role of satellite systems such as ISRO-enabled platforms, global missions, and AI-driven analytics in enhancing agricultural productivity, sustainability, and decision-making. It highlights key applications such as crop monitoring, irrigation management, disaster mitigation, and digital advisory systems for farmers. The study also discusses government policies, institutional collaboration, and emerging challenges such as chemical detection, large-scale farm surveillance, and climate-induced crop losses.

Furthermore, the paper proposes an AI-powered smart farming framework that integrates satellite data, predictive analytics, and mobile-based advisory systems to support real-time decision-making at the farm level. The findings suggest that the convergence of AI and space technology can significantly improve resource efficiency, reduce environmental impact, and enable a transition toward sustainable and climate-resilient agriculture [5], [12], [16].