In this research, we analyzed a specific problem that our farmers have been facing for a long time, namely the pollination of the palm trees and the location where it is mainly needed. Our objective is to measure the effectiveness of integrating artificial intelligence (AI) technology into large-scale date palm pollination in Oman. Further, our study aims to measure the resources saved by this technology and to determine which location will benefit from using this technology. To achieve the research goals, we adopted a hybrid approach methodology. We argue that this is the greatest way to accomplish our goals because there are many farmers whom we consulted about pollination and how the use of AI and drones might benefit them in the future. We rely on their responses, opinions, and experiences. Second, most people think that the use of this combination will reduce labor costs in palm tree pollination, and it would improve the quality of palm tree crops. In another analysis, there was a different thought about this combination. In conclusion, this technology would help a huge number of farmers in pollination with benefits such as cost, efficiency, and time saving. Increasing the quality and quantity of dates produced by pollination can improve a country’s export earnings and trade balance. Dates are, in the end, a significant cultural and historical emblem in Oman and are frequently connected to customs and holidays. It would enable Oman to retain its cultural history and increase tourism by encouraging the development and production of dates through pollination.