Bibliographic Details
| Title: |
A Novel Hyperspectral Method to Detect Moldy Core in Apple Fruits. |
| Authors: |
Genangeli, Andrea, Allasia, Giorgio, Bindi, Marco, Cantini, Claudio, Cavaliere, Alice, Genesio, Lorenzo, Giannotta, Giovanni, Miglietta, Franco, Gioli, Beniamino |
| Source: |
Sensors (14248220); Jun2022, Vol. 22 Issue 12, pN.PAG-N.PAG, 15p |
| Subject Terms: |
INFRARED spectroscopy, ALTERNARIA alternata, ARTIFICIAL neural networks, APPLES, FRUIT, PATTERN recognition systems, CULTIVARS |
| Abstract: |
An innovative low-cost device based on hyperspectral spectroscopy in the near infrared (NIR) spectral region is proposed for the non-invasive detection of moldy core (MC) in apples. The system, based on light collection by an integrating sphere, was tested on 70 apples cultivar (cv) Golden Delicious infected by Alternaria alternata, one of the main pathogens responsible for MC disease. Apples were sampled in vertical and horizontal positions during five measurement rounds in 13 days' time, and 700 spectral signatures were collected. Spectral correlation together with transmittance temporal patterns and ANOVA showed that the spectral region from 863.38 to 877.69 nm was most linked to MC presence. Then, two binary classification models based on Artificial Neural Network Pattern Recognition (ANN-AP) and Bagging Classifier (BC) with decision trees were developed, revealing a better detection capability by ANN-AP, especially in the early stage of infection, where the predictive accuracy was 100% at round 1 and 97.15% at round 2. In subsequent rounds, the classification results were similar in ANN-AP and BC models. The system proposed surpassed previous MC detection methods, needing only one measurement per fruit, while further research is needed to extend it to different cultivars or fruits. [ABSTRACT FROM AUTHOR] |
|
Copyright of Sensors (14248220) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Complementary Index |
|
Full text is not displayed to guests. |
Login for full access.
|
