DRAKE's as a Smart Solution for Surveying, Mapping, and Modeling Based on Artificial Intelligence to Determine the Feasibility of the Land

Plantation is a sector that plays a very large role in developing the economy in Indonesia, especially oil palm plantations. Oil palm is one of the plantation crops that is in great demand by entrepreneurs in Indonesia. Apart from that, palm oil has become one of the main commodities produced by Indonesian plantations which has been exported to several countries. Based on the final report by the Indonesian Ministry of Trade in 2015, it was stated that in the future the amount of world consumption of palm oil will be higher than the amount of production. Looking at the problem, the proposer found a solution that could help palm oil business players map land locations. The proposer offers a solution to this problem, namely by using drone tracking DRAKE's (Drone Kece Unesa) is a smart solution based on drone technology that can be used to survey, map, and model coconut plantation land by utilizing Artificial Intelligence (AI) technology. This tool is equipped with AI technology which can process data collected by drones in a short time and produce accurate and detailed results about the condition of coconut plantation land. AI technology also allows this tool to recognize and map coconut plants and analyze the suitability of land for coconut plantations. By using this technology, farmers or coconut plantation investors can obtain accurate and detailed information about the condition of the land to be planted with coconuts and analyze the suitability of the land for coconut plantations more easily and quickly. This can help them make the right decisions in developing coconut plantations and increase the productivity and efficiency of coconut plantation businesses. With this tool, the process of surveying and mapping coconut plantation land can be carried out more efficiently, quickly, and accurately than traditional methods. This technology can also help oil palm farmers make better decisions regarding plantation location selection, crop planning, and overall land management.