DANAYA: Digital Analysis for Nutrient Assessment and Yield Analysis of Soil using image processing feature extraction

This research investigates the pivotal role of soil quality in agricultural and horticultural sustainability, as well as its significance for national and global food security. Employing advanced digital analysis techniques, particularly image processing feature extraction, this study explores the relationship between soil composition and crop yield potential within the domain of Soil and Water Management. Through rigorous data analysis and empirical experimentation, this research unveils the intricate interdependencies between soil nutrients and agricultural productivity. The Department of Soil and Water Management emerges as a critical domain for providing insights into optimizing soil health for enhanced crop yield. The outcomes of this study contribute to the scientific discourse on soil dynamics and offer actionable recommendations for stakeholders in agriculture, horticulture, and policymakers striving to mitigate food security challenges. This research underscores the imperative of leveraging digital technologies for informed decision-making in agricultural resource management, thereby advancing the goals of sustainable food production and global food security.