Abstract:

The agricultural sector in Tamil Nadu, one of India's key agrarian states, faces numerous challenges such as fluctuating weather patterns, resource constraints, and the need for sustainable growth. The integration of advanced technologies, such as drones, precision farming, and artificial intelligence (AI), has the capacity to transform agriculture and enhance yields in the region. It explores the role of these technologies in addressing critical issues like water management, soil health, crop monitoring, and pest control. Precision farming techniques enable farmers to optimize input usage, reduce wastage, and enhance crop yields by changing agricultural methods to the particular needs of each field. Drones are increasingly being used for aerial monitoring, assessing crop health, and applying pesticides with precision, allowing for better decision-making and reduced labor costs. Furthermore, AI-driven solutions are helping farmers predict weather patterns, analyze soil conditions, and manage crops more effectively. By analyzing current trends and case studies, the paper evaluates the tangible impacts of these technologies on Tamil Nadu's agricultural productivity, sustainability, and rural development. The findings suggest that while adoption is still evolving, the integration of such innovations has the capacity to drastically increase the productivity and sustainability of agriculture in Tamil Nadu, ensuring long-term benefits for the state's agrarian economy.

Keywords:

Precision Farming, Drones, Sustainable Agriculture, Weather Prediction, and Resource Management

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Methods