The ROAMER Project developed a prototype of an autonomous unmanned ground vehicle (UGV) that can track, survey, and map banana farms. These land-based prototypes would serve as learning platforms towards building field-ready autonomous vehicles for mission-specific purposes.   

For its pilot implementation, the application of the technology intended to assist the agri-banana industry. This will also serve as the groundwork for developing practical field robots for agricultural industry-wide applications.   

The project can aid the decision-making process of agricultural farms. The farms can manage their operations and resources with the help of field data collected by the UGV. They can also improve path planning for the proper administration of chemicals such as fertilizers to the banana crops.   

The presentation of the field data is in the form of 3D maps of the surveyed agricultural farms. The DOST-ASTI generated the maps using artificial intelligence-based methods in computer vision, sensing, and navigation.