Investigating the role of artificial intelligence for ethical and sustainable food production

As the world population surges, this demand for the food industry is creating immense pressure on our existing agricultural practices. ABSTRACT The integration of food production with artificial intelligence (AI) GIS has gained considerable attention, as it has been recognized as a possible solution to this challenge of partitioning philosophy and sustainable issues. This work explores how AI can support sustainability and ethical activities in the food production industry. This study discussed the applications of AI, such as machine learning algorithms, predictive analytics, and precision agriculture, which can be used for optimal crop yield, minimizing the environmental footprint, and efficient resource allocation. AI systems support more productive and sustainable farming practices by empowering data-driven decision making. The study investigates the use of AI applications, such as exactness agriculture, predictive analytics, and machine learning algorithms, to change crop yield, minimize environmental impacts, and optimize resource allocation. By utilizing data-driven decision making, AI systems support the advancement of more efficient and sustainable farming techniques. This study examines the socioeconomic effects of AI adoption in food manufacturing using an interdisciplinary formulation, taking into account the disciplines expected to reduce impoverishment, strengthen local communities, and encourage accountable consumption. Concerns about algorithmic bias, data privacy, and the possible replacement of customary agricultural methods are also discussed in the study.