SPAS-Dataset-BD

The dataset includes numerous variables such as area, production, season, minimum humidity, maximum humidity, minimum temperature, maximum temperature, district, and crop name, all of which influence the agricultural output of various crops in the context of Bangladesh. Data collection was carried out through surveys across diverse regions of Bangladesh to analyze various crop types. The data set is intended to support investigations in the field of precision agriculture. The collected data will aid in the creation of algorithms and solutions that enhance accuracy and efficiency in data-driven decision-making. This dataset served as a foundation for training various machine learning models. The developed models can offer recommendations on the most effective crop yield.