AGRI-ROBOTICS AND AUTOMATION IN FIELD OPERATIONS: ENHANCING PRODUCTIVITY AND REDUCING LABOR DEPENDENCE

Abstract

This paper utilises a mixed-method experimental design to analyse the role of agri-robotics / automation in enhancing field production, reducing the deployment of labour.  Important farming operations such as planting, weeding, harvesting and monitoring were carried out using robot systems and their performance compared with the conventional methods.  The quantitative findings indicated a considerable increase in productivity illustrated by the productivity gain (PG) measure. Automated processes have always been superior to manual processes.  A massive decline in the amount of hours required of individuals revealed a significant decrease in the labour reduction ratio (LRR) and indicated that automation is effective in alleviating labour scarcity.  Statistical studies (ANOVA and regression modelling) confirmed the fact that these improvements were statistically significant under different field conditions.  Additional qualitative analyses of farmers and interested parties indicated that there was a general acceptance of automation technology with perceived benefits of efficiency and reduced workload, but still there were concerns about costs and technical education.  The report provides an excellent evaluation of automation in agriculture systems that combine empirical performance data and the opinions of the stakeholders.  The findings suggest that agri-robotics may serve as a game-changing tool of sustainable production and increase efficiency, reduce reliance on scarce labour, and promote long-term food security.  The policy implications emphasize the fact that subsidized access, training and deployment strategies should be suitable to the situation so that they may have the greatest impact and reach everyone.