… The experience with work on Artificial Intelligence, on which I … It is in the tradition of artificial
intelligence, machine learning, … We are still a long way from a viable automated approach to …

The taxiing schedule problem of surface aircraft at the airport was studied by introducing a bi-level
programming method. The impacts of taxiing cost and conflict on the operation …

… There are four main types of artificial intelligence applications in the agricultural field,
including: first, agricultural robots: enterprise development programs and automation. Robots …

… As we approach 2030, the agricultural landscape is … The integration of Artificial Intelligence
(AI) into the agricultural … : Beyond predictive analytics, AI plays a pivotal role in automating vari…

… breakthrough for the artificial intelligence to change from the … Currently, the field of
agriculture in our country has accumulated a … With the application, the automation of knowledge …

… Abstract: Artificial intelligence is the forefront of the 21st Century … automation has become
an essential task for the agricultural … and sustainability of its agriculture, and the continual …

… status of agricultural aviation for precision agriculture to move … al automation takes agricultural
mechanization as the basis and on this basis it can be integrated with artificial intelligence, …

… This research enhances precision agriculture by providing intelligent, data-driven guidance
… sensors, data analytics, and automation to enhance agricultural efficiency and sustainability. …

… proposes an automated crop weed detection method based on automatic machine
learning. … In order to meet the plant detection requirements of precision agriculture, the …