A novel and proposed comprehensive methodology using deep convolutional neural networks for flue cured tobacco leaves classification
In this paper, a solution is defined based on convolutional neural networks (CNN) for the
grading of flue-cured tobacco leaves. A performance analysis of CNN on 120 samples of …
grading of flue-cured tobacco leaves. A performance analysis of CNN on 120 samples of …
[PDF][PDF] Automated tobacco grading using image processing techniques and a convolutional neural network
Tobacco grading is very important for crop market price determination. It is beneficial for
graders who need to manually classify tobacco leaves according to their grades. As such, a …
graders who need to manually classify tobacco leaves according to their grades. As such, a …