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Crop Yield Predictive Analytics Use Case – Smarten
The document describes a crop yield predictive analytics use case for a farming cooperative, which utilizes a predictive model based on agricultural and environmental factors to estimate crop yields. The model employs gradient boosting regression to predict crop yield per hectare, achieving reliable results when the R-squared value is 70% or higher. Additionally, it provides insights that enable farmers to make informed decisions to enhance productivity.
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Crop Yield Predictive Analytics Use Case – Smarten
- 1. Crop Yield Predictive AnalyticsUse Case
- 2. Crop Yield Sample Application Description Afarming cooperative can determine which crop types are most likely to yield high harvests under specific conditions. In this use case, the predictive model leverages key agricultural and environmental factors to estimate crop yields. By analyzing these variables, along with the type of crop grown, the model accurately predicts the crop yield, enabling farmers to make informed decisions and optimize their agricultural practices for enhanced productivity.
- 3. Crop Yield Sample Application Target CropYield Per Hector
- 4. Crop Yield Sample Application Influencing Factors •Environmental Conditions – Temperature, Rainfall, Humidity, Sunlight hours • Agricultural Practices – Soil Quality, Fertilizer used, Pesticide used, Irrigation, Plant Density • Crop and Farm Characteristics – Crop Type, Farm Area
- 5. Crop Yield Sample Application Algorithm(s) •Gradient Boosting Regression is the method for predicting crop yield per hectare based on predefined categories. • Higher R Square (>=70%) means the results are reliable and accurate. • Lower R Square (<70%) means the model needs to be rebuilt using different input parameters.
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- 11. Crop Yield Sample Application Result •Contains Predicted Crop Yield value along with regression residuals that shows comparison with the actual one.
- 12. Crop Yield Sample Application Result Cropprediction with probability value can be carried out using the APPLY functionality shown below.
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- 14. Crop Yield Predictive AnalyticsUse Case For more information, contact us today. www.Smarten.com contact@Smarten.com Smarten – Crop Yield Use Case - 2024