Economically optimal farmer supervision of crop robots
نویسندگان
چکیده
One of the key issues in regulation crop robots is need for human supervision. Economic analysis indicates that autonomous farming potentially reduces agricultural production costs, but such costs may often become higher than conventional when constant on-site supervision required by law. However, there are cases where a level robot helps maximise profits even if it not mandated law, as field operations or inherently require frequent intervention. The objective this study to identify economically optimal levels farmer absence through HFH-LP optimisation model developed at Harper Adams University, Newport (UK). Four scenarios characterised different intervention requirements and compared with two baseline thresholds which farm management decisions would change from remote findings show falls within range substantially lower 100% jurisdictions EU California. More specifically, between 13% 85% machine time across depending on: (i) number interventions given operation; (ii) supervisor's location; (iii) being used operation. economic effects these three factors reveal crucial implications health safety regulators draw attention reliability priority researchers, entrepreneurs, manufacturers.
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ژورنال
عنوان ژورنال: Smart agricultural technology
سال: 2023
ISSN: ['2772-3755']
DOI: https://doi.org/10.1016/j.atech.2022.100110