Project Paper, proof of concept by
DR. Armah,(Senior Lecturer/HOD)
Glen Nii Noi Anum
Ebenezer Anum

DEPARTMRNT OF BUSINESS COMPUTING
C.k. TEDAM UNIVERSITY OF TECHNOLOGY AND APPLIED SCIENCES

The Tomantoe Leaf Desease Classifier was modeled using teachable machine by google.
This project was undertaking to help farmers detect infected tomantoe crops and the specific infection inorder to save the plant and pevent the desease from spreading

Tomantoe Leaf Desease Model Summary

The model was trianed with 200 images of each desease for 30 epoch with a bach size 16 and 0.0001 learning rate

Model Parameters


Model Accuracy & Loss per Epoch

acc loss per epoch

Model Accuracy & Loss per Class

acc loss per class

Model Confusion Matrix 1st half

first half matrics

Model Confusion Matrix 2nd half

second half matrics

Model Trained Summary

model info