A Co-Simulation Virtual Reality Machinery Simulator for Advanced Precision Agriculture Applications

• Published in: Agriculture (Basel) Vol. 13; no. 8; p. 1603
• Main Authors: Cutini, Maurizio, Bisaglia, Carlo, Brambilla, Massimo, Bragaglio, Andrea, Pallottino, Federico, Assirelli, Alberto, Romano, Elio, Montaghi, Alessandro, Leo, Elisabetta, Pezzola, Marco, Maroni, Claudio, Menesatti, Paolo
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023
• Subjects: Agribusiness; Agricultural equipment; Agricultural industry; Agricultural production; Agricultural research; Agricultural resources; Agricultural technology; Agriculture; autoguiding; Automation; Comparative analysis; Computer applications; Design; digital twin; Digital twins; Embedded sensors; Energy consumption; Environmental monitoring; Environmental stewardship; Farm tractors; Farmers; Farms; Fertilizers; Food chains; geolocation; Precision farming; R&D; Research & development; Sensors; Simulation; Touch screens; tractor; Tractors; Traffic control; training; Trends; vehicle dynamics; Vehicles; Virtual environments; Virtual reality
• ISSN: 2077-0472; 2077-0472
• DOI: 10.3390/agriculture13081603

Simulation systems have become essential tools for both researchers and virtual laboratory experiments. In the Agri-food-chain, SimAgri, a driving simulator for tractors and operating machines, has been developed for precision agriculture (PA) research and to train professional farm drivers. Using the virtual environment of the simulator, the influence and fine-tuning of PA operations logic may be evaluated by simulating existing systems, or designing new ones, in specially compared scenarios and setups. Current configurations include an agricultural tractor carrying or towing farm equipment such as sprayers, seeders and fertilizer, embedded sensors, human–machine interfaces that may be configured like a joystick, console and touchscreen, and four virtual environment monitors. The study describes the design choices that have made it possible to create a simulator aimed at precision agriculture, keeping auto guidance, geolocation, and operations with ISOBUS implements as pillars. This research aims to use a unique purpose-designed simulation platform, installed on a driver-in-the-loop simulator to provide data to objectify the benefits of PA criteria. Numerical and experimental data have been compared to ensure results reliability.