Feasibility of detection of infested rice using an electronic nose

Probabilistic artificial neural network and E-nose based classification of Rhyzopertha dominica infestation in stored rice grains

(2019) Shubhangi Srivastava et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Volatile biomarkers for early-stage detection of insect-infested brown rice: Isopentenols and polysulfides

(2019) Fukuyo Tanaka et al.   FOOD CHEMISTRY

Prediction of Sitophilus granarius infestation in stored wheat grain using multivariate chemometrics & fuzzy logic-based electronic nose analysis

(2018) Gayatri Mishra et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of a non-destructive method for wheat physico-chemical analysis by chemometric comparison of discrete light based near infrared and Fourier transform near infrared spectroscopy

(2018) Pooja Pandey et al.   Journal of Food Measurement and Characterization

Rapid Assessment of Quality Change and Insect Infestation in Stored Wheat Grain Using FT-NIR Spectroscopy and Chemometrics

(2017) Gayatri Mishra et al.   Food Analytical Methods

Use of electronic nose technology for identifying rice infestation by Nilaparvata lugens

(2011) Bo Zhou et al.   SENSORS AND ACTUATORS B-CHEMICAL

A 21st century technique for food control: Electronic noses

(2009) Miguel Peris et al.   ANALYTICA CHIMICA ACTA

Detecting stink bugs/damage in cotton utilizing a portable electronic nose

(2009) Will G. Henderson et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rapid Identification of Rice Samples Using an Electronic Nose

(2009) Xian-zhe Zheng et al.   Journal of Bionic Engineering

Discrimination of Plant Volatile Signatures by an Electronic Nose: A Potential Technology for Plant Pest and Disease Monitoring

(2008) Jullada Laothawornkitkul et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY