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@ -22,7 +22,7 @@ class Crops
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SoilProperties soilProperties = new SoilProperties();
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private float ProductionRate;
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private float tempRain;
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public DayNightCycle Time { get; set; }
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private DayNightCycle Time = new DayNightCycle();
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@ -30,7 +30,6 @@ class Crops
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{
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Time = nTime;
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tempRain = Rain;
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getProductionRate(DataSet);
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if (UpdateCrop == 60)
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{
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degradeSoil(Rain);
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@ -50,6 +49,11 @@ class Crops
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}
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}
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public void updateProductionRate()
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{
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getProductionRate(DataSet);
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}
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public float getSpeedFactor(float tractorSpeed)
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{
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if (getCostOnMovement() == 1)
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@ -328,6 +332,7 @@ class Crops
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public float getProductionRate(CropTypes Sample)
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{
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ProductionRate = 1;
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float min = 1.0f;
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if (DataSet != null)
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@ -20,6 +20,10 @@ class Farm
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private float[][] whiteNoise;
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private float[][] perlinNoise;
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private DayNightCycle Time;
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private float updatePerc = 0.25f;
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private float updateProgress = 0;
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private int nextUpdate = 0;
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private int productionUpdate = 0;
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//initializes the crops
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@ -133,7 +137,25 @@ class Farm
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Update = 0;
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}
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if (productionUpdate == 20)
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{
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nextUpdate = (int)(nextUpdate + Size.X * updatePerc);
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for (int i = (int)(updateProgress * Size.X); i < nextUpdate; i++)
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{
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for (int j = 0; j < Size.Y; j++)
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{
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crops[i, j].updateProductionRate();
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}
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}
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updateProgress = updateProgress + updatePerc;
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if (updateProgress > 1)
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{
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updateProgress = 0;
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}
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updateRainMapPosition(Size);
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productionUpdate = 0;
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}
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productionUpdate++;
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}
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public void updateRainFall(Vector2 Size, DayNightCycle nTime)
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@ -239,7 +261,7 @@ class Farm
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{
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for (int j = 0; j < Size.X; j++)
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{
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if (crops[i, j].getStatus() != 3)
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if (crops[i, j].getStatus() == 2)
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{
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int x = getHighestProductionRate(i, j);
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crops[i, j].setCropType(x, PresetCrops.getPresetCropTypes(x));
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@ -11,7 +11,7 @@ using Microsoft.ML.Trainers.LightGbm;
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class MLModel
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{
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private static MLContext mlContext = new MLContext(seed: 1);
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/*
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private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
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@ -19,8 +19,7 @@ class MLModel
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private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
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/*
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*/
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private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
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private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
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private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
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@ -28,7 +27,6 @@ class MLModel
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private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
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*/
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// Loading data, creatin and saving ML model for smaller dataset (100)
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public static void CreateModel()
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@ -18,13 +18,13 @@ namespace Game1.Sources.ML_Joel
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel";
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*/
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private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall.csv";
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private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel";
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private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel";
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private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall.csv";
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private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel";
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private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel";
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private static string path_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall_area.csv";
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private static string modelpath_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel_area";
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private static string report_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel_area";
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private static string path_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall_area.csv";
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private static string modelpath_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel_area";
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private static string report_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel_area";
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// Loading data, creatin and saving ML model for smaller dataset (100)
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public static void CreateModel()
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@ -6,11 +6,10 @@ class Tractor
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{
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private int Spacing, sizeTile, Speed = 1;
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private float tractorSpeed = 1;
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private Vector2 Position, TargetPosition, Size, housePos, oldDeltaPosition, DeltaPosition;
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private Vector2 Position, TargetPosition, Size, housePos, DeltaPosition;
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private Path path = new Path();
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private SmartTractor smartTractor = new SmartTractor();
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private HandleRotation handleRotation = new HandleRotation();
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private int WaitFrame = 30;
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private int j;
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@ -74,13 +74,13 @@ class SmartTractor
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farm.setNewHousePos(pos, newState);
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}
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public void UpdateCrops(int Speed, DayNightCycle Time)
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public void UpdateCrops(int Speed, DayNightCycle nTime)
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{
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for (int i = 0; i < Speed; i++)
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{
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farm.updateFarm(Size);
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}
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farm.updateRainFall(Size, Time);
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farm.updateRainFall(Size, nTime);
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}
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public Inventory getInventory()
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