Overview:
The dataset from kaggle. The dataset we got has 9 columns including tampparatus, moisture, humadity, soil type, crop type, nitrogen, potassium, phoshopor, and fertilizer name
Class Names:
['crop_type','humidity','moisture','nitrogen','phosphorous','potassium','soil_type','temparature']
This Project uses:
- Tensorflow
- Tensorflow Decission Forests
- Numpy
- Matplotlib
- Tensorflow Dataset (TFDS)
- Keras
- Flask
- Pandas
- Dtreeviz (Vizualization)