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Applications, Advantages, and Challenges of Artificial Intelligence in Agriculture
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Author(s): Aparna Sharma (Government College, Barwala, India), Anurag Tewari (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)and Ajit Bansal (Chitkara Business School, Chitkara University, Punjab, India)
Copyright: 2025
Pages: 16
Source title:
Sustaining the Global Agriculture Supply Chain
Source Author(s)/Editor(s): Sneha Kumari (Symbiosis School of Economics, Symbiosis International University, Pune, India), V. G. Venkatesh (E.M. Normandie Business School, Le Havre, France), K. K. Tripathy (Ministry of Health and Family Welfare, Government of India, India), Hemachandra Padhan (Indian Institute of Management, Sambalpur, India)and M.P. Sukumaran Nair (Center for Green Technology and Management, India)
DOI: 10.4018/979-8-3693-4330-2.ch018
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Abstract
The economy is significantly influenced by agriculture. Globally, the primary issue and burgeoning topic is agriculture mechanization. The population is growing at an exponential rate, which is simultaneously driving up demand for jobs and food. For the farmers to meet these needs, the conventional techniques they employed were insufficient. New automated techniques were consequently introduced. The utilization of Artificial intelligence technique has protected agricultural productivity from various threats, such as rising populations, changing climates, employment difficulties, and problems with food safety. Architectures based on machine learning have been confirmed to be among the best regarding precision and resilience. By using systems based on AI, crop yields can be increased while using less water, fertilizer, and pesticides. Besides improving worker safety, intelligent expertise can support in reducing its consequence on expected ecosystems, which will help keep food costs low and ensure more crops are grown to feed the world's expanding population.
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