The Potency of UAV as an Artificial Intelligence Technology in Farmland Aerial Mapping

Abstract

The digital information of natural resources is the main consideration for the policies of continuing development. As an agrarian state, Indonesia requires the information of its agricultural productivity in a fast and accurate fashion to observe the usage of its land. One of the efforts to provide such information is to implement the 4.0 technology in the agricultural field. Artificial Intelligence (AI) has the potential prospect to observe the productive agriculture field in Indonesia. The development of Alap-Alap UAV that is equipped with Camera sensor payload has potential applications as AI technology for productive land mapping. The camera sensor of Alap-Alap UAV is capable of 24 Mega Pixel and obtain the data of land, plant, and vegetation at the surface. The application of the camera's sensor has advantages to the satellite's e.g. overcoming the cloud blockage, real-time data gathering, and better accuracy. The Alap-Alap UAV offers alternative solutions for remote sensing in agricultural activities. One of the advantages of this technology is the low-cost of operational expenditure and its flexibility in operation for its purpose thus it is efficient for taking orthophoto in the agricultural land. The accuracy of the Alap-Alap UAV date is 10 cm/pixel of Ground Sampling Distance (GSD) above 1700 Ha of the area in each hour in 1500 ft of flight altitude. The other advantage is the 6 hours of flight endurance which enables Alap-Alap UAV to produce the preferred quality and quantity of mapping data.