Robotics and labour in agriculture. A context consideration

Marinoudi, Vasso, Sorensen, Claus, Pearson, Simon and Bochtis, Dionysis (2019) Robotics and labour in agriculture. A context consideration. Biosystems Engineering, 184 . pp. 111-121. ISSN 1537-5110

Full content URL: https://doi.org/10.1016/j.biosystemseng.2019.06.01...

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Abstract

Over the last century, agriculture transformed from a labour-intensive industry towards mechanisation and power-intensive production systems, while over the last 15 years agri- cultural industry has started to digitise. Through this transformation there was a continuous labour outflow from agriculture, mainly from standardized tasks within production process. Robots and artificial intelligence can now be used to conduct non-standardised tasks (e.g. fruit picking, selective weeding, crop sensing) previously reserved for human workers and at economically feasible costs. As a consequence, automation is no longer restricted to stan- dardized tasks within agricultural production (e.g. ploughing, combine harvesting). In addition, many job roles in agriculture may be augmented but not replaced by robots. Robots in many instances will work collaboratively with humans. This new robotic ecosystem creates complex ethical, legislative and social impacts. A key question, we consider here, is what are the short and mid-term effects of robotised agriculture on sector jobs and employment? The presented work outlines the conditions, constraints, and inherent re- lationships between labour input and technology input in bio-production, as well as, pro- vides the procedural framework and research design to be followed in order to evaluate the effect of adoption automation and robotics in agriculture.

Keywords:labour machine substitution, labour machine complementarity, workforce in agriculture
Subjects:H Engineering > H670 Robotics and Cybernetics
D Veterinary Sciences, Agriculture and related subjects > D470 Agricultural Technology
G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
ID Code:36279
Deposited On:24 Jun 2019 08:39

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