Automation and Robotics in the Agrocomplex for Increased Agricultural Efficiency

Authors

  • Sulfahmi Universitas Negri Makassar Author

Keywords:

Automation, Robotics, Agricultural Efficiency, Productivity

Abstract

Purpose: The elevation of the population standards of living, coupled with the need for feeding people all over the world, has led to the expansion of the agrocomplex together with the recognition of automation and robotics as the solution to the industry’s many issues. The paper explores automation and robotics and its effects on agriculture in terms of rates of production; relative cost and effectiveness of automations and robotics in agricultural operations; and completing the set, efficiency rates of enterprises engaged in agricultural activities. As part of the data collection two research questions were posed and quantitative data was obtained from 120 respondents engaged in automated farming.

Subjects and Methods: As part of the data collection two research questions were posed and quantitative data was obtained from 120 respondents engaged in automated farming. To test the correlation between automation and agricultural performance indicators, descriptive and correlational statistics tools that include Pearson correlation coefficient, multiple regression analysis and analysis of variance were used.

Results: This study shows that through the proper demonstration of how automation enhances agricultural boosts sustainability and calls for better measures to embrace the change in the developing countries.

Conclusions: the findings the work established a high level of significant this Positive of the level of automation on the efficiency of agriculture, costs, and time of automation systems. Furthermore, the study reveals gaps such as high initial cost required for investments and a dearth of technical know-how as pulling factors that make it difficult for many farmers especially the smallholder farmers to embrace it. The findings are useful in filling the existing literature void on the monetisable effect of automation in farming, providing a quantitative research reference point in the future.

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Published

2024-12-27