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

Author:

Cutini Maurizio1ORCID,Bisaglia Carlo1ORCID,Brambilla Massimo1ORCID,Bragaglio Andrea1ORCID,Pallottino Federico2ORCID,Assirelli Alberto2ORCID,Romano Elio1ORCID,Montaghi Alessandro3,Leo Elisabetta4,Pezzola Marco4,Maroni Claudio4,Menesatti Paolo2

Affiliation:

1. CREA Research Centre for Engineering and Agro-Food Processing, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Via Milano 43, 24047 Treviglio, Italy

2. CREA Research Centre for Engineering and Agro-Food Processing, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Via della Pascolare 16, Monterotondo, 00015 Rome, Italy

3. CREA Research Centre for Engineering and Agro-Food Processing, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Via G. Venezian 26, 20133 Milan, Italy

4. Soluzioni Ingegneria, Via Lorenzo Balicco 113, 23900 Lecco, Italy

Abstract

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.

Funder

Italian Ministry of Agriculture, Food Sovereignty and Forests

Publisher

MDPI AG

Subject

Plant Science,Agronomy and Crop Science,Food Science

Reference36 articles.

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3. Olson, K.D. (September, January 31). Precision agriculture: Current economic and environmental issues. Proceedings of the Sixth Joint Conference, Minneapolis, MN, USA.

4. Wolfert, S., Goense, D., and Sørensen, C.A.G. (2014, January 23–25). A future internet collaboration platform for safe and healthy food from farm to fork. Proceedings of the 2014 Annual SRII Global Conference, San Jose, CA, USA.

5. Zarco Tejada, P.J., Hubbard, N., and Loudjani, P. (2014). Precision Agriculture: An Opportunity for E.U. Farmers Potential Support with the CAP 2014–2020, Joint Research Centre (JRC) of the European Commission, Monitoring Agriculture Resources (MARS) Unit H04.

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