A Machine Learning Method for Classification and Identification of Potato Cultivars Based on the Reaction of MOS Type Sensor-Array

Application of electronic nose with chemometrics methods to the detection of juices fraud

(2021) Hamed Karami et al.   JOURNAL OF FOOD PROCESSING AND PRESERVATION

Detection and measurement of aroma compounds with the electronic nose and a novel method for MOS sensor signal analysis during the wheat bread making process

(2021) Marek Gancarz et al.   FOOD AND BIOPRODUCTS PROCESSING

Integrating a Low-Cost Electronic Nose and Machine Learning Modelling to Assess Coffee Aroma Profile and Intensity

(2021) Claudia Gonzalez Viejo et al.   SENSORS

Effect of Supplementation of Flour with Fruit Fiber on the Volatile Compound Profile in Bread

(2021) Robert Rusinek et al.   SENSORS

Identification of olfactory characteristics of edible oil during storage period using metal oxide semiconductor sensor signals and ANN methods

(2021) Hamed Karami et al.   JOURNAL OF FOOD PROCESSING AND PRESERVATION

Characteristics of Newly Developed Extruded Products Supplemented with Plants in a Form of Microwave-Expanded Snacks

(2021) Katarzyna Lisiecka et al.   Materials

Classification and Identification of Essential Oils from Herbs and Fruits Based on a MOS Electronic-Nose Technology

(2021) Mansour Rasekh et al.   Chemosensors

Detection and Differentiation of Volatile Compound Profiles in Roasted Coffee Arabica Beans from Different Countries Using an Electronic Nose and GC-MS

(2020) Gancarz Marek et al.   SENSORS

Influence of Changes in the Level of Volatile Compounds Emitted During Rapeseed Quality Degradation on the Reaction of MOS Type Sensor-Array

(2020) Robert Rusinek et al.   SENSORS

Application of the E‐nose machine system to detect adulterations in mixed edible oils using chemometrics methods

(2020) Hamed Karami et al.   JOURNAL OF FOOD PROCESSING AND PRESERVATION

Visualization of volatomic profiles for early detection of fungal infection on storage Jasmine brown rice using electronic nose coupled with chemometrics

(2020) Asada Jiarpinijnun et al.   MEASUREMENT

Qualitative analysis of edible oil oxidation using an olfactory machine

(2020) Hamed Karami et al.   Journal of Food Measurement and Characterization

The Effect of Light Exposures on the Content of Harmful Substances in Edible Potato Tuber

(2020) Katarzyna Rymuza et al.   Agriculture-Basel

The use of an electronic nose to detect early signs of soft-rot infection in potatoes

(2018) Massimo F. Rutolo et al.   BIOSYSTEMS ENGINEERING

At harvest prediction of the susceptibility of potato varieties to blackspot after impact over long-term storage

(2018) Marek Gancarz   POSTHARVEST BIOLOGY AND TECHNOLOGY

Detection of the adulteration in pure cow ghee by electronic nose method (case study: sunflower oil and cow body fat)

(2018) Fardin Ayari et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Evaluation of Hydrocarbon Soil Pollution Using E-Nose

(2018) Andrzej Bieganowski et al.   SENSORS

Application of MOS based electronic nose for the prediction of banana quality properties

(2016) Alireza Sanaeifar et al.   MEASUREMENT

Correlation between cell size and blackspot of potato tuber parenchyma tissue after storage

(2016) Marek Gancarz   POSTHARVEST BIOLOGY AND TECHNOLOGY

Identifying Potato Varieties Using Machine Vision and Artificial Neural Networks

(2015) Afshin Azizi et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Evaluation of Simple Sequence Repeat (SSR) Markers Established in Europe as a Method for the Identification of Potato Varieties Grown in Canada

(2013) Marie-José Côté et al.   AMERICAN JOURNAL OF POTATO RESEARCH

Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry

(2013) Alphus Wilson   SENSORS

Storage induced changes of potato properties as detected by DMA

(2012) Jiří Blahovec et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Bemisia afersensu lato, a Vector ofSweet potato chlorotic stunt virus

(2010) Heidy A. Gamarra et al.   PLANT DISEASE

Applications and Advances in Electronic-Nose Technologies

(2009) Alphus Wilson et al.   SENSORS

Quality grade identification of green tea using E-nose by CA and ANN

(2007) Huichun Yu et al.   LWT-FOOD SCIENCE AND TECHNOLOGY