Author
Abstract
Agriculture is backbone of our nation’s economy. It is the main source of livelihood for about the majority of the population of India, particularly in rural areas. With the advancement of technology this sector is revolutionizing at fast speed.Artificial intelligence is playing a vital role in transformation of agriculture to Smart Agriculture. Artificial intelligence (AI) uses various sub-domains as Machine Learning(ML) ,Deep learning(DL), Internet Of Things (IoT), Big Data etc to enhance the production of agriculture. With growing population, It is essential to increase the productivity of agricultural and farming processes to improve yields and cost-effectiveness with new technology. In particular, AI & ML can make agricultural and farming industry processes more efficient by reducing human intervention through automation. AI can help farmers in growing the crop ,Watering and fertilizing according to need and detecting the health of crop with precision so we can also call it as Precision Farming.It Justifies that smart agriculture can give a good solution for today’s problem. This article will discuss recent AI & ML technologies and their current role in the agricultural sector, their potential value for future farmers and the challenges that AI & ML faces in implementation.
Suggested Citation
Arshpreet Kaur, 2025.
"Artificial Intelligence (AI) and Machine Learning (ML) for Sustainable Agriculture,"
International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(5), pages 470-476, May.
Handle:
RePEc:bjc:journl:v:12:y:2025:i:5:p:470-476
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