Crop Recommendation using Soil Properties and Weather Prediction Dataset

These features provide insights into the climatic conditions that crops will experience throughout the growing season. The climate data has been sourced from the National Aeronautics and Space Administration's (NASA) cloud infrastructure. The soil properties and crop type data have been procured from the Ethiopian Agricultural Transformation Agency (ATA), ensuring that the dataset is grounded in reliable and locally relevant agricultural data.

Additionally, crop production data has been obtained from the Ethiopian Statistics Service (ESS), providing a historical context for the crop types included in the dataset. The process of data collection was methodical. Initially, soil properties and crop type data were gathered.

Following this, climate feature data was collected based on specific years and geographical coordinates (latitude and longitude), with an emphasis on anticipating the conditions for the upcoming season. This structured approach ensures that the dataset is well-rounded, providing a solid foundation for the development of a machine learning-based crop recommendation system.