| Feasibility using odor characteristic in predicting firmness of kiwi fruit non-destructively with the olfactory machine |
| Paper ID : 1223-NICAME1402 |
| Authors: |
|
Amin Foroughirad1, Mahdi Moradi *1, seyed saeid Mohtasebi2, Mohammad Agah1 1Department of Biosystems Engineering, School of Agriculture, Shiraz University, Shiraz 2university of Tehran |
| Abstract: |
| Non-destructive evaluation of the quality of food and agricultural products has always been the subject of scientist’s research. Today, various methods have been invented and used for non-destructive evaluation of the quality of agricultural products. Firmness evaluation is one of the most important quality factors of agricultural and food products. Given that currently the methods of determining the hardness of agricultural products and food are destructive methods. In this research, the possibility of using smell characteristics to evaluate the firmness of agricultural products was investigated with the help of a smell machine system. In order to validate the results of the olfactory machine system, the data of the olfactory machine system was compared with the data of the punch test. The results showed that the olfaction machine system with the help of artificial neural network (ANN) technique is able to detect the firmness of fruits during unripe, semi-ripe, ripe, over-ripe and spoilage periods. |
| Keywords: |
| Agricultural products, Olfaction Machin, Electronic Nose, Firmness, Artificial Neural Network |
| Status : Paper Accepted (Poster Presentation) |
