Ethical AI for Sustainable Agriculture: Developing Models to Optimize Resource Use and Minimize Environmental Impact
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 5 | Views: 525 | Weekly Hits: ⮙2 | Monthly Hits: ⮙3

Research Paper | Computer Science and Information Technology | India | Volume 12 Issue 11, November 2023 | Popularity: 5.1 / 10


     

Ethical AI for Sustainable Agriculture: Developing Models to Optimize Resource Use and Minimize Environmental Impact

Shaik Abdul Kareem


Abstract: The growing demand for sustainable agricultural practices has led to the integration of Artificial Intelligence (AI) to optimize resource use and minimize environmental impact. This paper investigates the development and application of ethical AI models in sustainable agriculture. These models are designed to help farmers make data - driven decisions regarding irrigation, fertilization, and crop management while ensuring environmental sustainability. By leveraging advanced machine learning techniques, such as precision agriculture algorithms, this research presents innovative solutions that balance agricultural productivity with ecological stewardship. Case studies demonstrate the effectiveness of these models in real - world settings, highlighting significant resource savings, yield improvements, and environmental benefits.


Keywords: Ethical AI, Sustainable Agriculture, Resource Optimization, Environmental Impact, Precision Agriculture


Edition: Volume 12 Issue 11, November 2023


Pages: 2212 - 2215


DOI: https://www.doi.org/10.21275/SR231110213501


Please Disable the Pop-Up Blocker of Web Browser

Verification Code will appear in 2 Seconds ... Wait



Text copied to Clipboard!
Shaik Abdul Kareem, "Ethical AI for Sustainable Agriculture: Developing Models to Optimize Resource Use and Minimize Environmental Impact", International Journal of Science and Research (IJSR), Volume 12 Issue 11, November 2023, pp. 2212-2215, https://www.ijsr.net/getabstract.php?paperid=SR231110213501, DOI: https://www.doi.org/10.21275/SR231110213501

Top