AgriField-Manipur Smart Farming Dataset (Synthetic v2025.1)

The AgriField-Manipur Dataset (v2025.1) is a realistic hybrid dataset created to support smart farming, AI research, and IoT-based agricultural development for the valley farming ecosystem of Manipur, India.It contains daily time-series measurements of temperature, humidity, soil moisture, soil pH, rainfall, and crop suitability parameters across multiple valley districts. Although the dataset is synthetically generated at field level due to limited direct sensor availability and operational constraints, all parameter ranges, seasonal behavior, and soil characteristics are based on verified agricultural references, including: Regional climatology (IMD, NASA POWER) Soil reports and advisories (ICAR-NEH, Manipur Agriculture Department) Crop agronomy and best practices (FAO and ICAR standards) This design ensures that the dataset reflects realistic environmental behavior, seasonal variation, and district-level differences found in valley agriculture of Manipur. The dataset also includes generator code, allowing reproducibility, custom simulation, and further scaling based on research needs. It is suitable for: Smart farming and IoT platform prototyping Machine learning systems for crop suitability, irrigation, soil analysis, and pest/disease risk Benchmarking, simulation, and academic instruction in precision agriculture Note: While parameter ranges are grounded in real-world references, the dataset is simulated at field level and should not be used for operational farm decisions without expert validation.