Sustainable Farming: Insights from Data Clustering
A. Akhmetkyzy,
N. N. Nurmukhametov,
M. N. Nurgabylov
Abstract:This study delves into the perceptions and practices of the agricultural community regarding eco-friendly technologies and air pollution through a detailed clustering analysis of survey data. The primary objective is to identify distinct groups within the agricultural sector based on their responses to various factors, including demographic information, types of crops grown, perceptions of air pollution, and attitudes toward sustainable practices. The analysis employs K-Means clustering to categorize responden… Show more
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