Abstract:
In this paper, a predictive artificial neural network (ANN) model was developed and validated for the purpose of
prediction whether a watermelon is good or bad, the model was developed using JUSTNN software environment. Prediction is
done based on some watermelon attributes that are chosen to be input data to the ANN. Attributes like color, density, sugar rate,
and some others. The model went through multiple learning-validation cycles until the error is zero, so the model is 100% percent
accurate for the purpose of prediction whether good or bad the watermelon is.