AI in agriculture is on the rise as organizations incorporating AI technologies enhance production to feed the world market as a result of food insecurity. This chapter focuses on bringing in lessons learned from five different perspectives describing how the implementation of artificial intelligence will revolutionalize agriculture and food systems. It stresses the importance of low-risk approaches and doctor farming for improving irrigation and application of fertilizer, calendar planting and harvesting as well as recommended crop rotation. AI implementation in the farming industry not only fosters the continued success of the farming business and specialty but also helps develop a sustainable model for food production. It also uses AI to predict the crop’s price, detect pest presence, and determine the most suitable time for planting. This gives a glimpse of how the AI can turn the current farming activities into truly intelligent activities. At the moment, agriculture is a reasonably fresh field for using artificial intelligence, but this part of our lives offers an incredible amount of opportunities to bring advancements in any decision-making with reference to planting or irrigation or harvesting. Potential challenges for their implementation include inaccurate data, large datasets, intricate model structure, and ethical questions are mentioned. This goes to show the need for partnerships and creativity if AI is to be fully brought to rigor in enhancing agricultural and food sectors. The article discussed the role of AI in foods systems and the focus in required area such as, the predictive maintenance, the remote monitoring, and the supply chain. These applications increase the standard, sterility, and productivity of food preparation and processing.