New [Synthetic] Oklahoma Precision Ag Dataset (50K Rows) – Calibrated For Yield Prediction, Irrigation & Pest Modeling

Hey r/PrecisionAg,

I just released a new hyper-realistic synthetic dataset specifically built for Oklahoma conditions using real Mesonet weather patterns and USDA crop statistics.

Dataset details:

• 50,000 daily sensor + yield records
• Crops: Winter Wheat (50%), Cotton (20%), Grain Sorghum (15%), Soybeans (15%)
• 15 real Oklahoma counties
• 18 columns including: soil moisture, NDVI, NPK levels, soil pH, temperature, humidity, rainfall, solar radiation, wind speed, irrigation, pest pressure (High/Med/Low), weather events (drought/heatwave), growth stage, and yield-loss-risk labels

It’s 100% synthetic (no scraping or real farm data), so it’s completely legal and privacy-safe for commercial use or AI training.

I created it because I saw how hard it is to get clean, regionally accurate tabular/sensor data for precision ag models. Thought it might be useful for anyone working on yield forecasting, irrigation optimization, pest risk, or drought modeling in the Midwest/South Plains.

Full dataset is available here:
https://datasetking.gumroad.com/l/ok-precision-ag

Happy to answer any questions or take feedback. More regional versions (California, Texas, etc.) are in the works.

Thanks for looking!

DataSetKing