author(s)
Prabin Kumar Sahoo and Deoraj Sharma

abstract
Artificial intelligence (AI) is a new emerging technology which has a positive impact on agricultural productivity (crop production) majorly through the utilization of AI in agriculture. This paper examines the moral challenges of the use of Artificial Intelligence in agriculture in six classes together with fairness, transparency, accountability, sustainability, privacy, and robustness. Artificial intelligence has helped improve efficiency, improve soil health and crop production, and solve many problems of the agricultural sector. Other concerns such as unpredictable climate change, rapid population growth and food insecurity have prompted the use of artificial intelligence to ensure sustainable agriculture. As the world’s population grows exponentially, there must be a lift in food production to cater to the ever-increasing world population. AI-based technologies help solve problems related to weeding, irrigation, cultivation and control. The ongoing process of climate changes causes many distresses and vulnerabilities, especially in the agrarian sector. The same can be effectively minimized with the deployment of AI-enabled digital solutions. Research in India reveals that rice cultivation contributes 16% in GHG emissions, while wheat adds 56% and fertilizer production & use in cereals add 52%. India\'s agri-food sector is heavily reliant on unpredictable climatic conditions and the use of AI can help it produce more with fewer resources. It can shift the methods & processes of food production and help the agricultural sector reduce its emissions by 20%. AI enabled farming solutions enable farmers to produce more crops at a lower cost while enriching the produce\'s\' quality.