Convolutional neural network model for the qualitative evaluation of geometric shape of carrot root
The main objective of the study is the development of an automatic carrot root classification model, marked as CR-NET, with the use of a Convolutional Neural Network (CNN). CNN with a constant architecture was built, consisting of an alternating arrangement of five Conv2D, MaxPooling2D and Dropout...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Scientific Agricultural Society of Finland
2024-03-01
|
| Series: | Agricultural and Food Science |
| Online Access: | https://journal.fi/afs/article/view/135986 |