Electronic-nose applications for fruit identification, ripeness and quality grading

M Baietto, AD Wilson - Sensors, 2015 - mdpi.com
Fruits produce a wide range of volatile organic compounds that impart their characteristically
distinct aromas and contribute to unique flavor characteristics. Fruit aroma and flavor …

Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with …

AI Ropodi, EZ Panagou, GJE Nychas - Trends in Food Science & …, 2016 - Elsevier
Background Food quality, safety and authenticity are important issues for consumers,
governments, as well as the food industry. In the last decade, several researchers have …

E-Nose design and structures from statistical analysis to application in robotic: a compressive review

AJ Moshayedi, AS Khan, Y Shuxin… - … Transactions on AI …, 2023 - publications.eai.eu
Since 1982, the olfactory system of creatures has piqued the interest of academics who seek
to create a comparable system. Despite its mysterious nature, the first stage has been …

Advances in electronic nose development for application to agricultural products

W Jia, G Liang, Z Jiang, J Wang - Food Analytical Methods, 2019 - Springer
High agricultural product quality is a fundamental requirement for consumers and odor is an
important indicator that reflects product quality. Conventional analysis methods are based …

Accelerating crop yield: multisensor data fusion and machine learning for agriculture text classification

A Reyana, S Kautish, PMS Karthik, IA Al-Baltah… - IEEE …, 2023 - ieeexplore.ieee.org
Sensors are now used by farmers and agronomists to help them improve their operations.
They use sensor data transmitted via IoT to remotely monitor their crops. Farmers today …

A new internal quality index for mango and its prediction by external visible and near-infrared reflection spectroscopy

V Cortés, C Ortiz, N Aleixos, J Blasco, S Cubero… - Postharvest Biology and …, 2016 - Elsevier
A non-destructive method based on external visible and near-infrared reflection
spectroscopy for determining the internal quality of intact mango cv.'Osteen'was …

Data science in the food industry

GJ Nychas, E Sims, P Tsakanikas… - Annual Review of …, 2021 - annualreviews.org
Food safety is one of the main challenges of the agri-food industry that is expected to be
addressed in the current environment of tremendous technological progress, where …

Ripeness prediction of postharvest kiwifruit using a MOS e-nose combined with chemometrics

D Du, J Wang, B Wang, L Zhu, X Hong - Sensors, 2019 - mdpi.com
Postharvest kiwifruit continues to ripen for a period until it reaches the optimal “eating ripe”
stage. Without damaging the fruit, it is very difficult to identify the ripeness of postharvest …

Detection of ripeness grades of berries using an electronic nose

N Aghilinategh, MJ Dalvand… - Food Science & Nutrition, 2020 - Wiley Online Library
The estimation of ripeness is a significant section of quality determination since maturity at
harvest can affect sensory and storage properties of fruits. A possible tactic for defining the …

Characterization of Southeast Asia mangoes (Mangifera indica L) according to their physicochemical attributes

T Lawson, GW Lycett, A Ali, CF Chin - Scientia Horticulturae, 2019 - Elsevier
Mango (Mangifera indica L.) is an economically important fruit crop grown in the tropics. One
of the important traits of mango for successful commercial production is the storage quality of …