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metadata
license: mit
tags:
  - infinite-dataset-hub
  - synthetic

AgriculturalYieldPredictor

tags: agriculture, regression, time series

Note: This is an AI-generated dataset so its content may be inaccurate or false

Dataset Description:

The 'AgriculturalYieldPredictor' dataset contains time-series data with features relevant for predicting the yield of various crops across different regions. The dataset includes measurements of weather conditions, soil properties, and historical yield data. Each record in the dataset is labeled with the expected yield outcome, which is crucial for training regression models.

CSV Content Preview:


"Date","Region","Temperature_Avg","Rainfall_Total","Soil_Nitrogen_Level","Crop_Type","Historical_Yield","Predicted_Yield"

"2021-01-01","North Valley","5","10","High","Wheat","200","210"

"2021-01-01","South Valley","7","15","Medium","Corn","180","190"

"2021-02-01","East Valley","6","20","Low","Rice","160","170"

"2021-02-01","West Valley","8","5","Medium","Soybean","220","230"

"2021-03-01","Central Valley","10","25","High","Wheat","210","220"

Source of the data:

The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query '':