ADVANCED ANALYTICAL MODELS IN PRECISION AGRICULTURE- INTEGRATING IOT TECHNOLOGY FOR ENHANCED AGRONOMIC DECISION MAKING AND ECONOMIC UPLIFTMENT OF FARMERS

Precision agriculture, empowered by the Internet of Things, is revolutionizing farming practices by enabling data-driven decision-making and optimized resource utilization. This thesis delves into the integration of IoT technology in precision agriculture, with a specific focus on its application in wheat cultivation. The research investigates the deployment of IoT devices such as soil moisture sensors, weather stations, and drones, examining their effectiveness in collecting real-time data on soil conditions, weather patterns, and crop health. The study further explores various data collection and analysis techniques, including stream processing, edge computing, and machine learning algorithms, to derive actionable insights from the collected data. The impact of IoT-driven precision agriculture on agronomic decision-making is thoroughly assessed. The research demonstrates how predictive analytics enable farmers to make informed decisions regarding irrigation scheduling, fertilizer application, pest and disease management, and harvest timing. These data-driven decisions lead to optimized resource allocation, reduced input costs, and ultimately, increased crop yields. The study also evaluates the economic implications of IoT adoption, quantifying the return on investment for farmers and analyzing the broader socioeconomic impacts on rural communities. The findings of this thesis underlines the transformative potential of IoT technology in revolutionizing cultivation in India. By enabling precise, data-driven farming practices, IoT not only enhances agricultural productivity and profitability but also contributes to resource conservation. The research provides valuable insights for policymakers, agronomists, and technology developers, paving the way for wider adoption and integration of IoT solutions in agriculture to address the challenges of food security and climate change.