Prediction of horticultural production using machine learning regression models: a case study from indramayu regency, indonesia

HIGHLIGHTS

• What: The aim of this research is to predict horticultural production, especially mango fruit in Indramayu Regency, Indonesia, by applying various machine_learning models. The authors aim to answer the research question of what machine_learning model is most suitable for predicting horticultural production, as well as how accurate each model is in predicting horticultural production. Experiments in this research show that Random Forest Regression produces the highest accuracy. This study compared four regression models namely Random Forest Regression, Gradient Boosting Regression, Decision Tree Regression, and Linear Regression.
• Who: Indramayu from the Study from Regency, Indonesia have . . .
  

   

  

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