Integrating IoT and AI in Sustainable Agriculture to Mitigate Environmental Risk and Financial Misuse

The intersection of Internet of Things (IoT) and Artificial Intelligence (AI) is reshaping the agricultural sector by offering transformative solutions to pressing global challenges such as environmental degradation, resource scarcity, and financial inefficiencies.In the context of sustainable agriculture, the integration of these technologies provides a unique opportunity to optimize resource utilization, enhance crop productivity, and reduce ecological footprints.At a broader level, IoT devices such as soil sensors, drones, and satellite imaging systems generate granular, real-time data on climate conditions, soil health, and water consumption.When combined with AI-driven analytics, these data streams facilitate precise forecasting, dynamic irrigation control, and adaptive pest management-thereby minimizing waste and improving ecosystem balance.Beyond environmental sustainability, this technological fusion plays a critical role in enhancing transparency and accountability within agricultural finance and subsidy distribution.AI algorithms, supported by IoT data, enable robust verification of land usage, crop yields, and farmer identities-significantly reducing the risk of fraud, misreporting, and fund misallocation in public and private financing schemes.Furthermore, predictive modeling enhances risk assessment and insurance mechanisms, providing better protection for farmers and more accurate pricing for insurers.By narrowing the focus to the dual benefits of environmental conservation and financial integrity, this paper critically evaluates the integration of IoT and AI in sustainable agriculture.It presents a conceptual framework, highlights real-world use cases, and identifies implementation barriers across different socio-economic settings.The study ultimately advocates for policy and infrastructure investments that can scale these technologies responsibly, ensuring longterm agricultural resilience and equitable economic outcomes.