GPS-based autonomous navigation system for multitask robotic rover for agricultural activities with augmented reality web application for supervision support on peach orchards
MENEZES, G. [et al.] (2022) - GPS-based autonomous navigation system for multitask robotic rover for agricultural activities with augmented reality web application for supervision support on peach orchards. Acta Horticulturae. 1352, p. 601-608. DOI: 10.17660/ActaHortic.2022.1352.81
10.17660/ActaHortic.2022.1352.81
Title
GPS-based autonomous navigation system for multitask robotic rover for agricultural activities with augmented reality web application for supervision support on peach orchards
Subject
Autonomous terrestrial robot Agriculture 4.0 Navigation system GPS Peach culture Web development Augmented reality
Relation
PDR2020-101-031358
Date
2023-01-16T15:11:20Z 2023-01-16T15:11:20Z 2022
Description
As a result of the increasing world population and the growing demand for food, there is a great need to increase agricultural productivity. However, the problem is aggravated by the population migration from rural areas to cities, which causes a decrease in the workforce in the agricultural sector. In this regard, within the concept of agriculture 4.0, the introduction of autonomous robots in agricultural activities may face these problems, supporting the growing lack of labor and promoting increased agricultural productivity. This work exposes the algorithm used to perform autonomous navigation, based on global positioning systems (GPS), of the robotic rover for agricultural applications (R2A2) multitasking aimed at performing herbicide spraying. An augmented reality (AR) web application has also been developed to assist in the supervision of autonomous vehicles. A code in C/C++ was developed for the autonomous movement of the robotic platform using an Arduino Mega2560 as the main microprocessor and the AR web application based on the positioning which was developed using the AR.JS libraries and the A-FRAME framework compiled in a code HTML. The application was tested in a peach orchard and presented an average of approximately 94% of correct answers, which reveals the accuracy of the technological solution developed. Also exposed are the results and conclusions of the autonomous movement algorithm and the web application. info:eu-repo/semantics/publishedVersion
