Synthetic_Soil Fertility dataset

This dataset contains synthetic soil fertility data developed for machine learning-based soil classification, soil fertility prediction, and fertilizer recommendation research. The dataset includes relevant soil properties and agricultural parameters that can be used for developing and evaluating machine learning and deep learning models for precision agriculture. The dataset is intended to support research on soil fertility assessment, nutrient prediction, crop-related analysis, and fertilizer recommendation. The data can be used for model development, feature analysis, classification, regression, and comparative evaluation of machine learning algorithms. This dataset is provided for academic and research purposes. The data are synthetically generated and are intended for methodological development, testing, and validation of machine learning approaches. Researchers using this dataset should clearly acknowledge its synthetic nature when reporting results. Keywords Soil fertility; Soil classification; Machine learning; Deep learning; Fertilizer recommendation; Precision agriculture; Soil nutrients; Agricultural data; Synthetic dataset; Crop recommendation; Nutrient prediction.