The Agri-Food Competition for Robot Evaluation (ACRE) is a novel competition for autonomous robots and smart implements. It is focused on agricultural tasks such as removing weeds or mapping/surveying crops down to single-plant resolution. Such abilities are crucial for the transition to so-called 'Agriculture 4.0', i.e., precision agriculture supported by ICT, Artificial Intelligence, and Robotics. ACRE is a benchmarking competition, i.e., the activities that participants are required to execute are structured as performance benchmarks. The benchmarks are grounded on the key scientific concepts of objective evaluation, repeatability, and reproducibility. Transferring such concepts in the agricultural context, where large parts of the test environment are not fully controllable, is one of the challenges tackled by ACRE. The ACRE competition involves both physical Field Campaigns and data-based Cascade Campaigns. In this paper, we present the benchmarks designed for both kinds of Campaigns and report the outcome of the ACRE dry-runs that took place in 2020.
On the Design of the Agri-Food Competition for Robot Evaluation (ACRE) / R. Bertoglio, G. Fontana, M. Matteucci, D. Facchinetti, M. Berducat, D. Boffety - In: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2021 / [a cura di] V. Santos, N. Lau, P. Neto, A.C. Lopes. - Prima edizione. - [s.l] : IEEE, 2021. - ISBN 9781665431989. - pp. 161-166 (( convegno ICARSC tenutosi a Santa Maria da Feira nel 2021.
|Titolo:||On the Design of the Agri-Food Competition for Robot Evaluation (ACRE)|
|Parole Chiave:||robotics; smart agriculture; benchmarking; competition; machine learning; image segmentation|
|Settore Scientifico Disciplinare:||Settore AGR/09 - Meccanica Agraria|
|Progetto:||Metrological Evaluation and Testing of Robots in International CompetitionS (METRICS)|
|Data di pubblicazione:||2021|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/ICARSC52212.2021.9429792|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|
File in questo prodotto:
|Quantitative Benchmarking in Agricultural Robotics.pdf||Post-print, accepted manuscript ecc. (versione accettata dall'editore)||Administrator Richiedi una copia|
|09429792.pdf||Publisher's version/PDF||Administrator Richiedi una copia|