Artificial intelligence methods for classification and prediction of potatoes harvested from fertilized soil based on a sensor array response

Analytical methods to detect adulteration of argan oil: A critical review

(2021) Faez Mohammed et al.   MICROCHEMICAL JOURNAL

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

(2021) Ali Khorramifar et al.   SENSORS

Mint treatment day prediction using a multi-sensors system and machine learning algorithms

(2021) Ali Amkor et al.   SENSORS AND ACTUATORS A-PHYSICAL

A data fusion approach on confocal Raman microspectroscopy and electronic nose for quantitative evaluation of pesticide residue in tea

(2021) Alireza Sanaeifar et al.   BIOSYSTEMS ENGINEERING

Detection of Beef Adulterated with Pork Using a Low-Cost Electronic Nose Based on Colorimetric Sensors

(2020) Fangkai Han et al.   Foods

The Impact of Fertilization Regime on the Crop Performance and Chemical Composition of Potato (Solanum tuberosum L.) Cultivated in Central Greece

(2020) Spyridon A. Petropoulos et al.   Agronomy-Basel

Semiconductor Gas Sensors: Materials, Technology, Design, and Application

(2020) Maria Vesna Nikolic et al.   SENSORS

An electronic nose supported by an artificial neural network for the rapid detection of aflatoxin B1 and fumonisins in maize

(2020) Marco Camardo Leggieri et al.   FOOD CONTROL

Electronic Nose-Based Technique for Rapid Detection and Recognition of Moldy Apples

(2019) Wenshen Jia et al.   SENSORS

Electronic Nose in Combination with Chemometrics for Characterization of Geographical Origin and Agronomic Practices of Table Grape

(2019) Francesco Longobardi et al.   Food Analytical Methods

Discrimination of geographical origin of oranges (Citrus sinensis L. Osbeck) by mass spectrometry-based electronic nose and characterization of volatile compounds

(2018) Valentina Centonze et al.   FOOD CHEMISTRY

Detection Potential of Multi-Features Representation of E-Nose Data in Classification of Moldy Maize Samples

(2017) Yong Yin et al.   Food and Bioprocess Technology

Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey

(2016) Zhilin Gan et al.   JOURNAL OF FOOD ENGINEERING

Instrumental assessment of red meat origins and their storage time using electronic sensing systems

(2015) Z. Haddi et al.   Analytical Methods

The Feasibility and Stability of Distinguishing the Kiwi Fruit Geographical Origin Based on Electronic Nose Analysis

(2015) Yiyan Ma et al.   FOOD SCIENCE AND TECHNOLOGY RESEARCH

Pesticide residues in fruits and vegetables from Pakistan: a review of the occurrence and associated human health risks

(2014) Jabir Hussain Syed et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Detection of Adulteration in Saffron Samples Using Electronic Nose

(2014) Kobra Heidarbeigi et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

A conductive polymer based electronic nose for early detection of Penicillium digitatum in post-harvest oranges

(2013) Jonas Gruber et al.   Materials Science & Engineering C-Materials for Biological Applications

Detection of onion postharvest diseases by analyses of headspace volatiles using a gas sensor array and GC-MS

(2010) Changying Li et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

An electronic nose system based on a micro-machined gas sensor array to assess the freshness of sardines

(2009) N. El Barbri et al.   SENSORS AND ACTUATORS B-CHEMICAL

Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat

(2008) Noureddine El Barbri et al.   SENSORS

Application of a portable electronic nose system to assess the freshness of Moroccan sardines

(2007) N. El Barbri et al.   Materials Science & Engineering C-Materials for Biological Applications