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https://hdl.handle.net/20.500.14279/34709| Title: | Development of a precision agriculture downloadable content for the farming simulator game | Authors: | Pavlenko, Tetiana Argyropoulos, Dimitrios Arnoult, Matthieu Engel, Thomas Murdoch, Alistair J. Griepentrog, H.W. Kambuta, Jacob Latherow, Tamisan Tranter, Richard Paraforos, Dimitrios S. Gadanakis, Yiorgos |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Keywords: | Precision Farming;Downloadable Contente;Economic performance;Environmental performance;Education;Gamification | Issue Date: | 27-Jul-2023 | Source: | Precision agriculture '23 | Start page: | 797 | End page: | 804 | Link: | https://brill.com/edcollchap/book/9789086869473/BP000101.xml | Conference: | 14th European Conference on Precision Agriculture | Abstract: | Precision Agriculture (PA) offers solutions enabling informed decision-making on farms and contributes to agricultural sustainability. However, despite the evidence-based benefits of PA, the adoption of different related technologies at the farm level is slow. One of the approaches for increased awareness and delivering knowledge about the advantages of PA is education. To address this issue, a study in the scope of an EIT-Food-funded project was aimed at integrating the main principles of PA into an existing game. The PA module can be considered a novel and innovative way to communicate the benefits of PA and encourage stakeholders to adopt its principles. | URI: | https://hdl.handle.net/20.500.14279/34709 | ISSN: | 9789086869473 | DOI: | 10.3920/978-90-8686-947-3_100 | Type: | Book Chapter | Affiliation : | University of Reading University of Hohenheim University College Dublin European Technology Innovation Center, John Deere GmbH & Co. KG Lincoln University Hochschule Geisenheim University |
Funding: | EIT Food - Horizon 2020 | Publication Type: | Peer Reviewed |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ECPA 2023 - Farming Simulator - SUBMITTED.pdf | 500.17 kB | Adobe PDF | View/Open |
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