diff --git a/Game1/Sources/Crops/Farm.cs b/Game1/Sources/Crops/Farm.cs
index a9b8ac1..a79d3f9 100644
--- a/Game1/Sources/Crops/Farm.cs
+++ b/Game1/Sources/Crops/Farm.cs
@@ -77,6 +77,8 @@ class Farm
             init(Size, housepos);
         RainPosition.X = r.Next(0, 1900);
         RainPosition.Y = r.Next(0, 1950);
+        WindSpeed.X = GetRandomNumber(-1f, 1f) / 500;
+        WindSpeed.Y = GetRandomNumber(-1f, 1f) / 500;
         RainfallMap = PerlinNoise.LoadImage("C:\\Users\\Joel\\source\\repos\\Oskars Repo\\Game1\\Content\\Rainfall.png");
         //RainfallMap = PerlinNoise.LoadImage("C:/Users/oel/source/repos/Oscars Repo/Game1/Content/Rainfall.png");
     }
@@ -214,8 +216,8 @@ class Farm
     private void updateRainMapPosition(Vector2 Size)
     {
         float x, y;
-        x = WindSpeed.X + GetRandomNumber(-1f, 1f) / 2000;
-        y = WindSpeed.Y + GetRandomNumber(-1f, 1f) / 2000;
+        x = WindSpeed.X + GetRandomNumber(-1f, 1f) / 20000;
+        y = WindSpeed.Y + GetRandomNumber(-1f, 1f) / 20000;
         if (x <= 0.02f && x >= -0.02f)
         {
             WindSpeed.X = x;
diff --git a/Game1/Sources/ML/Engine.cs b/Game1/Sources/ML/Engine.cs
index cb3c6ff..7d3da83 100644
--- a/Game1/Sources/ML/Engine.cs
+++ b/Game1/Sources/ML/Engine.cs
@@ -30,7 +30,9 @@ static class Engine
             Phosporous = crop.getSoilProperties().Phosphorous
         };
 
-        return PredictionEngine.Predict(modelInput).Prediction;
+        ModelOutput modelOutput = new ModelOutput();
+        PredictionEngine.Predict(modelInput, ref modelOutput);
+        return modelOutput.Prediction;
     }
 }
 
diff --git a/Game1/Sources/ML_Joel/Engine.cs b/Game1/Sources/ML_Joel/Engine.cs
index fbc1e05..ee28ac8 100644
--- a/Game1/Sources/ML_Joel/Engine.cs
+++ b/Game1/Sources/ML_Joel/Engine.cs
@@ -44,7 +44,9 @@ namespace Game1.Sources.ML_Joel
                 Rainfall = soilProperties.Humidity,
             };
 
-            return PredictionEngineArea.Predict(modelInput).Score;
+            OutputArea modelOutput = new OutputArea();
+            PredictionEngineArea.Predict(modelInput, ref modelOutput);
+            return modelOutput.Score;
         }
 
     }