Development of exoskeletons and motion measurement to reduce olive harvesting labor
Author:
Affiliation:
1. PMAR Robotics Group, DIME, University of Genova
2. Measurement and Biomechanics Lab, DIME, University of Genova
Publisher
Asian Agricultural and Biological Engineering Association
Link
https://www.jstage.jst.go.jp/article/eaef/17/2/17_66/_pdf
Reference26 articles.
1. Cecchini, M. et al. 2018. Safety knowledge and changing behaviour in agricultural workers: an assessment model applied in central Italy. Safety and Health at Work. 9 (2): 164–171. https://doi.org/10.1016/j.shaw.2017.07.009
2. Cepolina, E. M. et al. 2022. Brainstorm on artificial intelligence applications and evaluation of their commercial impact. IAES International Journal of Artificial Intelligence. 11 (3): 799. https://doi.org/10.11591/ijai.v11.i3.pp799-808
3. Cepolina, F. et al. 2023. Failure analysis of fiberglass cover used for photovoltaic plants. Journal of Applied Polymer Science. 140 (24): e53961. https://doi.org/10.1002/app.53961
4. Crea, S. et al. 2021. Occupational exoskeletons: A roadmap toward large-scale adoption. Methodology and challenges of bringing exoskeletons to workplaces. Wearable Technologies. 2: e11. https://doi.org/10.1017/wtc.2021.11
5. Crenna, F. et al. 2015. Measurement of human movement under metrological controlled conditions. Acta IMEKO. 4 (4): 48–56. https://doi.org/10.21014/acta_imeko.v4i4.281
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