A data-driven approach to agricultural machinery working states analysis during ploughing operations
In this paper, we explore a data-driven approach to analyzing the ...
In this paper, we explore a data-driven approach to analyzing the working states of agricultural machinery during ploughing operations. By leveraging advanced data analytics and machine learning techniques, we aim ...to optimize the efficiency and performance of ploughing equipment. Our study involves collecting and processing real-time operational data from various sensors installed on the machinery. Through comprehensive data analysis, we identify patterns and insights that can lead to better decision-making, reduced downtime, and improved overall productivity. This research has the potential to revolutionize agricultural practices by making ploughing operations more precise, efficient, and sustainable.
International Research Awards on Sustainable Agriculture and Food Systems
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