What am i missing? sklearn fit module - pandas

Question

I think input to Machine Learning cannot be text in .fit what should I use then or how should i change my code? This ai should be training with Year month and days and it should give as output Crops (First, Second, Third) (I don't know what more details to add but i need to post more details so im just typing random stuff at the moment.
code:
import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
event_data = pd.read_excel("Jacob's Farming Contest.xlsx")
event_data.fillna(0, inplace=True)
X = event_data.drop(columns=['First Crop', 'Second Crop', 'Third Crop'])
y = event_data.drop(columns=['Year', 'Month', 'Day'])
X_train, x_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
model = DecisionTreeClassifier()
model.fit(X_train, y_train)
# predictions = model.predict(X_test)
error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-44-3fbcae548642> in <module>
11
12 model = DecisionTreeClassifier()
---> 13 model.fit(X_train, y_train)
14 # predictions = model.predict(X_test)
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted)
888 """
889
--> 890 super().fit(
891 X, y,
892 sample_weight=sample_weight,
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\tree\_classes.py in fit(self, X, y, sample_weight, check_input, X_idx_sorted)
179
180 if is_classification:
--> 181 check_classification_targets(y)
182 y = np.copy(y)
183
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\multiclass.py in check_classification_targets(y)
167 y : array-like
168 """
--> 169 y_type = type_of_target(y)
170 if y_type not in ['binary', 'multiclass', 'multiclass-multioutput',
171 'multilabel-indicator', 'multilabel-sequences']:
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\multiclass.py in type_of_target(y)
248 raise ValueError("y cannot be class 'SparseSeries' or 'SparseArray'")
249
--> 250 if is_multilabel(y):
251 return 'multilabel-indicator'
252
C:\ProgramData\Anaconda3\lib\site-packages\sklearn\utils\multiclass.py in is_multilabel(y)
150 _is_integral_float(np.unique(y.data))))
151 else:
--> 152 labels = np.unique(y)
153
154 return len(labels) < 3 and (y.dtype.kind in 'biu' or # bool, int, uint
<__array_function__ internals> in unique(*args, **kwargs)
C:\ProgramData\Anaconda3\lib\site-packages\numpy\lib\arraysetops.py in unique(ar, return_index, return_inverse, return_counts, axis)
261 ar = np.asanyarray(ar)
262 if axis is None:
--> 263 ret = _unique1d(ar, return_index, return_inverse, return_counts)
264 return _unpack_tuple(ret)
265
C:\ProgramData\Anaconda3\lib\site-packages\numpy\lib\arraysetops.py in _unique1d(ar, return_index, return_inverse, return_counts)
309 aux = ar[perm]
310 else:
--> 311 ar.sort()
312 aux = ar
313 mask = np.empty(aux.shape, dtype=np.bool_)
TypeError: '<' not supported between instances of 'str' and 'int'
This is Jacob's Farming Contest.xlsx:
Year Month Day First Crop Second Crop Third Crop
0 101 1 1 0 0 0
1 101 1 2 Cactus Carrot Cocoa Beans
2 101 1 3 0 0 0
3 101 1 4 0 0 0
4 101 1 5 Mushroom Sugar CaNether Wart Wheat
... ... ... ... ... ... ...
367 101 12 27 Cactus Carrot Mushroom
368 101 12 28 0 0 0
369 101 12 29 0 0 0
370 101 12 30 Cocoa Beans Pumpkin Sugar CaNether Wart
371 101 12 31 0 0 0