31, January 2025

Advancing Precision Agriculture Through Artificial Intelligence and Machine Learning

Author(s): Anshika Singh

Authors Affiliations:

Alumni, Computer Science and Technology, Lucknow Institute of Technology & Management, Banda, India

DOIs:10.2017/IJRCS/202501004     |     Paper ID: IJRCS202501004


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Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing agriculture by enabling precision farming practices that enhance crop yield, optimize resource usage, and reduce environmental impacts. AI technologies, including computer vision, autonomous vehicles, and predictive analytics, play a key role in improving farm operations. Computer vision systems provide real-time monitoring of crop health, detecting diseases, pests, and nutrient deficiencies early. Predictive analytics help forecast weather patterns and potential risks, allowing farmers to take proactive measures. AI-powered autonomous machinery is transforming farm automation, improving efficiency in tasks like planting, weeding, and harvesting, while reducing labour costs. Furthermore, AI optimizes resource use, such as water and fertilizers, minimizing waste and supporting sustainability. By integrating AI into agriculture, global food security can be strengthened, meeting the increasing demand for food while preserving ecological balance. Ultimately, AI offers a sustainable path forward, addressing the challenges of feeding a growing global population.

Artificial Intelligence, Precision Agriculture, Machine Learning, Farm Automation, Sustainability, Data Analytics.

Anshika Singh(2025); Advancing Precision Agriculture Through Artificial Intelligence and Machine Learning, International Journal of Research Culture Society,    ISSN(O): 2456-6683,  Volume – 9,   Issue –  1.,  Pp.31-34.        Available on – https://ijrcs.org/

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