diff --git a/.idea/Traktor AI.iml b/.idea/Traktor AI.iml
index ff48265..078ddf5 100644
--- a/.idea/Traktor AI.iml	
+++ b/.idea/Traktor AI.iml	
@@ -4,7 +4,7 @@
     <content url="file://$MODULE_DIR$">
       <excludeFolder url="file://$MODULE_DIR$/venv" />
     </content>
-    <orderEntry type="jdk" jdkName="Python 3.9" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.10 (Traktor)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
 </module>
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
deleted file mode 100644
index 8d93904..0000000
--- a/.idea/misc.xml
+++ /dev/null
@@ -1,4 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9" project-jdk-type="Python SDK" />
-</project>
\ No newline at end of file
diff --git a/source/decision_tree.py b/source/decision_tree.py
new file mode 100644
index 0000000..3c8ad6c
--- /dev/null
+++ b/source/decision_tree.py
@@ -0,0 +1,42 @@
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.datasets import load_iris
+from sklearn.tree import DecisionTreeClassifier, plot_tree
+import matplotlib.pyplot as plt
+dtype_dict = {
+    'season': str,
+    'anomalies': str,
+    'weather': str,
+    'temp': int,
+    'water': int,
+    'nutri': int,
+    'pests': str,
+    'weeds': str,
+    'type': str,
+    'ripeness': int,
+    'target_column': str
+}
+# Wczytaj dane z pliku CSV
+data = pd.read_csv('resources/dataset.csv', header=0, dtype=dtype_dict)
+#print(data)
+X = data.drop('target_column', axis=1)
+y = data['target_column']
+X = pd.get_dummies(X)
+
+print(X)
+print(y)
+
+# Podział danych na zbiór treningowy i testowy
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
+
+# Dopasowanie modelu drzewa decyzyjnego
+model = DecisionTreeClassifier()
+model.fit(X_train, y_train)
+
+fig = plt.figure(figsize=(25,20))
+_ = plot_tree(model, feature_names=X.columns, class_names=model.classes_, filled=True)
+plt.savefig('drzewo_decyzyjne.png')
+plt.show()
+
+
+
diff --git a/source/drzewo_decyzyjne.png b/source/drzewo_decyzyjne.png
new file mode 100644
index 0000000..dff1b4a
Binary files /dev/null and b/source/drzewo_decyzyjne.png differ
diff --git a/source/ground.py b/source/ground.py
index 3739859..ccd1292 100644
--- a/source/ground.py
+++ b/source/ground.py
@@ -20,7 +20,7 @@ class Dirt:
         elif i == 4:
             self.weed = True
             self.pest = True
-        elif i == 5:
+        elif i == 5 or i == 6 or i == 7:
             self.obstacle = True
 
 # add init, getters,setters
diff --git a/source/resources/dataset.csv b/source/resources/dataset.csv
new file mode 100644
index 0000000..a800b14
--- /dev/null
+++ b/source/resources/dataset.csv
@@ -0,0 +1,301 @@
+season,anomalies,weather,temp,water,nutri,pests,weeds,type,ripeness,target_column
+winter,nothing,precipitation,5,44,17,yes,no,vegetable,76,doNothing
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+summer,nothing,sunny,25,85,84,no,no,cereal,85,work
+summer,nothing,precipitation,24,24,67,no,no,none,0,work
+spring,nothing,sunny,4,44,35,yes,no,vegetable,96,doNothing
+summer,nothing,partCloudy,33,78,54,no,yes,cereal,89,work
+winter,nothing,heavyCloudy,-1,27,87,yes,yes,cereal,1,doNothing
+autumn,flood,sunny,15,45,99,yes,yes,cereal,49,doNothing
+autumn,nothing,partCloudy,20,54,81,no,yes,none,0,work
+winter,nothing,heavyCloudy,-5,50,49,no,yes,fruit,42,doNothing
+summer,nothing,heavyCloudy,35,95,31,yes,yes,none,0,work
+summer,nothing,partCloudy,36,14,42,no,yes,vegetable,96,work
+summer,nothing,precipitation,31,62,45,yes,no,vegetable,3,work
+summer,tornado,precipitation,35,35,41,yes,no,none,0,doNothing
+summer,drought,heavyCloudy,35,33,97,no,no,fruit,76,work
+autumn,nothing,sunny,3,24,62,yes,yes,vegetable,21,doNothing
+winter,nothing,partCloudy,-18,80,37,no,no,cereal,24,doNothing
+spring,tornado,precipitation,21,15,58,yes,no,fruit,49,doNothing
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+winter,nothing,heavyCloudy,-11,69,9,no,yes,none,0,doNothing
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+summer,nothing,heavyCloudy,23,1,33,no,no,none,0,work
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+spring,nothing,precipitation,3,9,53,no,yes,vegetable,30,doNothing
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+spring,nothing,precipitation,8,21,1,yes,no,fruit,92,doNothing
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+winter,nothing,sunny,-6,67,100,yes,yes,fruit,25,doNothing
+winter,nothing,partCloudy,10,88,85,yes,yes,cereal,68,doNothing
+spring,nothing,sunny,20,99,73,no,no,vegetable,18,work
+spring,nothing,sunny,12,52,22,no,no,none,0,work
+winter,nothing,sunny,-18,16,57,no,no,vegetable,69,doNothing
+winter,nothing,partCloudy,-13,17,10,no,no,vegetable,93,doNothing
+summer,nothing,partCloudy,23,18,24,no,yes,fruit,7,work
+spring,nothing,partCloudy,2,50,95,yes,yes,vegetable,49,doNothing
+summer,nothing,partCloudy,23,51,40,yes,no,none,0,work
+summer,nothing,partCloudy,28,61,28,yes,no,cereal,61,work
+summer,nothing,precipitation,25,37,20,yes,no,vegetable,18,work
+spring,nothing,sunny,11,48,62,no,no,fruit,94,work
+spring,tornado,heavyCloudy,1,85,91,no,no,none,0,doNothing
+autumn,nothing,partCloudy,21,13,92,yes,no,vegetable,66,work
+autumn,nothing,precipitation,2,25,95,no,no,cereal,18,doNothing
+autumn,nothing,precipitation,0,50,32,no,yes,vegetable,92,doNothing
+winter,nothing,partCloudy,-18,27,2,no,yes,none,0,doNothing
+autumn,nothing,precipitation,7,49,6,no,no,fruit,92,doNothing
+autumn,nothing,precipitation,19,21,48,yes,no,cereal,93,work
+autumn,nothing,precipitation,7,54,12,no,no,none,0,work
+spring,nothing,sunny,1,25,30,yes,no,fruit,20,doNothing
+autumn,nothing,partCloudy,9,80,44,no,no,vegetable,49,doNothing
+summer,nothing,heavyCloudy,20,95,36,no,yes,fruit,11,work
+winter,nothing,partCloudy,-17,3,9,yes,yes,vegetable,94,doNothing
+winter,nothing,partCloudy,-15,62,35,no,yes,fruit,51,doNothing
+summer,nothing,sunny,35,6,24,no,no,cereal,94,work
+summer,nothing,partCloudy,34,95,37,yes,no,vegetable,86,work
+summer,drought,precipitation,36,25,83,yes,no,fruit,87,work
+spring,nothing,heavyCloudy,12,29,32,no,no,cereal,86,work
+winter,nothing,sunny,-15,44,70,no,no,fruit,82,doNothing
+winter,nothing,heavyCloudy,3,23,18,yes,yes,fruit,60,doNothing
+summer,nothing,precipitation,20,71,73,yes,no,cereal,3,work
+winter,nothing,precipitation,-4,90,10,yes,yes,cereal,51,doNothing
+autumn,nothing,sunny,4,70,73,yes,yes,cereal,15,doNothing
+winter,nothing,heavyCloudy,10,81,76,yes,yes,vegetable,80,doNothing
+spring,nothing,partCloudy,2,2,22,yes,yes,vegetable,21,doNothing
+spring,nothing,precipitation,17,4,67,yes,no,cereal,69,work
+spring,nothing,heavyCloudy,10,48,55,no,yes,cereal,100,doNothing
+autumn,nothing,precipitation,3,29,41,no,yes,none,0,work
+spring,nothing,precipitation,13,58,27,no,yes,fruit,16,work
+summer,nothing,partCloudy,28,85,14,no,yes,none,0,work
+summer,storm,heavyCloudy,30,19,15,no,yes,vegetable,49,doNothing
+summer,tornado,heavyCloudy,30,74,21,yes,no,cereal,16,doNothing
+summer,nothing,heavyCloudy,33,38,35,no,no,vegetable,91,work
+spring,nothing,partCloudy,1,68,59,yes,yes,vegetable,14,doNothing
+summer,nothing,precipitation,22,41,14,no,yes,cereal,48,work
+autumn,nothing,precipitation,8,66,44,no,no,cereal,65,doNothing
+spring,nothing,sunny,7,35,72,yes,no,fruit,92,doNothing
+summer,nothing,heavyCloudy,24,36,81,no,yes,cereal,6,work
+winter,nothing,heavyCloudy,-5,26,27,no,no,cereal,78,doNothing
+summer,nothing,sunny,27,45,40,yes,no,fruit,57,work
+spring,nothing,precipitation,8,30,79,yes,yes,none,0,work
+winter,nothing,sunny,7,76,71,no,yes,fruit,75,doNothing
+winter,nothing,precipitation,9,49,5,yes,no,fruit,7,doNothing
\ No newline at end of file