ECONOMIC AND OPERATIONAL EFFECTS OF DIGITAL MECHANIZATION IN AGRICULTURE: AN ENGINEERING MANAGEMENT VIEWPOINT
DOI:
https://doi.org/10.71235/rmee.204Keywords:
digital mechanization, agricultural machinery, engineering management, operational efficiency, precision agricultureAbstract
In the framework of Agriculture 4.0, the digital transformation of agricultural machinery is essential for increased productivity, lower input costs, and data-driven management choices. This study assesses how operational effectiveness, resource consumption, and cost structures in contemporary farming are affected by smart mechanization involving IoT, AI, autonomous vehicles, and drones. By incorporating sensors, GPS, cloud computing, and decision support systems into conventional machinery, farmers can increase total productivity while lowering labor, fuel, fertilizer, and pesticide costs. The study additionally examines how the use of these technologies promotes economic sustainability and strategic investment options, ranging particularly in light of global issues like labor shortages, climate change, and the demand for sustainable agricultural systems. The results demonstrate how digital mechanization has the ability to boost agricultural output while also optimizing input allocation and offering financial advantages to both industrial and small-scale farmers.
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