Soil Quality and Nutrient Levels from Multiple Districts of Bangladesh: IoT-Based Data

This dataset contains IoT-based soil data collected from various districts of Bangladesh, aimed at assessing soil quality for crop recommendation purposes. The data includes key soil parameters, such as nitrogen, phosphorus, potassium levels, soil conductivity, pH, humidity, and temperature, measured over multiple time intervals. The dataset includes a Soil Quality Index (SQI) and fuzzy classification categories, allowing for an in-depth soil fertility analysis. The data was gathered using IoT sensors, providing real-time and precise measurements from diverse soil types across different regions. This dataset is valuable for agricultural research, environmental monitoring, and developing precision farming techniques for further crop recommendations. It is expected to support further studies on soil fertility measurement along with SQI.