The dataset encompasses a diverse range of agricultural data aimed at enhancing crop yield analysis. It includes various types of crops such as fruits, grains, cash crops, and salt-tolerant plants, offering a broad view of cultivation practices. Soil types in the dataset range from fertile Alluvial and moisture-retentive Black Cotton soils to more challenging types like Desert and Peaty soils.
Fertilizer information covers commonly used inputs such as Di-Ammonium Phosphate (DAP), Urea, Potassium Sulfate, and Single Super Phosphate (SSP), along with pesticide usage, specifically Cypermethrin and Trifloxystrobin. Nutritional values for crops—such as calories, protein, carbohydrates, and calcium—are also recorded, providing insight into crop quality. Additionally, the dataset includes seasonal application details to guide the optimal timing for input use. The primary focus of the dataset is on the target variable: yield per hectare (measured in tons), which serves as a key metric for evaluating agricultural productivity.