A Study on Pros and Cons of AI Technology Used Agri Farming in Tamil Nadu

Abstract

This study delves into the adoption and impact of Artificial Intelligence (AI) technology within agricultural practices in the state of Tamil Nadu, India. The global trend of incorporating AI, commonly known as AgriTech, in agriculture aims to bolster productivity, sustainability, and resource efficiency. The research specifically examines the advantages and disadvantages associated with the integration of AI technology in Tamil Nadu's varied agricultural landscape. While AI solutions are actively being researched and implemented in agriculture, there exists a gap in achieving widespread industry adoption. Although large-scale research projects are underway and some AI applications are available in the market, the development of predictive solutions to effectively address real farming challenges is still in its nascent stages. Artificial intelligence (AI) in agriculture is poised to revolutionize the industry by streamlining processes, minimizing time commitments, and eliminating labour-intensive tasks. Its applications encompass pest management, data organization, and fostering healthier crop production, contributing to a reduction in workload. Cutting-edge solutions such as robotics, smartphone applications, and imagery technology play a crucial role in meeting agricultural needs. Businesses are actively working on advancing AI in agriculture to address challenges related to environmental changes and population expansion, introducing automated methods for preserving crop output. The recent breakthroughs in AI have not only led to technological advancements but have also created numerous job opportunities. By incorporating AI-enabled technologies, the agricultural sector enhances its competitiveness, paving the way for a future where AI becomes an integral part of farming operations. The goal is not only to automate tasks but also to enable precise harvesting techniques, allowing farmers to achieve larger yields and higher quality with fewer resources. As AI continues to evolve, it is anticipated that the agricultural industry will progressively integrate these technologies to meet the growing demands of the future.