Estimating Dry Matter and Total Soluble Content in Apples Using a Commercial Portable Hyperspectral Imaging System
OPEN ACCESS
Loading...
Author / Producer
Date
2023-12-14
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
The quest for rapid, non-destructive, and precise technologies for fruit quality estimation is motivated by the needs across the whole food production chain. One of the emerging technologies fulfilling these requirements is spectral imaging. However, despite documented successes, the technology is yet to become established in commercial applications. The best results reported in the literature rely on fixed, non-portable dedicated setups, and controlled light conditions, which limits the potential use cases along the food production chain. In our study, we investigate the possibility of estimating dry matter content (DMC) and total soluble content (TSC) of store-bought apples in non-regulated indoor conditions using a commercial, portable, hand-held imaging system featuring a hyperspectral camera. The acquired images are transformed into per-fruit representative spectral profiles, pre-processed, and analyzed using partial least squares (PLS), the established method in the chemometrics community. We achieved the R2 of 0.93 for TSC and 0.91 for DMC on the test dataset, with a mean absolute error of 0.71 °Brix for TSC and 0.7% for DMC, which is comparable to the state-of-the-art results presented in the literature. These results indicate that recent instrumental developments enable the deployment of spectral imaging systems in a wider range of tasks in food production, requiring portability and allowing for less stringent control of environmental conditions.
Permanent link
Publication status
published
Book title
Volume
XLVIII-1/W2-2023
Pages / Article No.
1757 - 1762
Publisher
Copernicus
Event
ISPRS Geospatial Week 2023
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Chemometrics; DMC; Total soluble solids; TSC; Imagery; Partial least squares; PLS
Organisational unit
03964 - Wieser, Andreas / Wieser, Andreas
Notes
Conference lecture held on September 7, 2023.