Abstract: Soil surface texture classification is a critical aspect of agriculture and soil science that affects various soil properties, such as water-holding capacity and soil nutrient retention.
Abstract: This paper introduces a conceptual framework for integrating machine learning techniques in soil classification and crop recommendation, aiming to enhance precision agriculture practices.
Action planning and decision-making in the sugarcane management chain depend on yield estimates, which, in turn, vary with the soil. This study aimed to describe an applicable method of classifying ...
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