Detection of insect damaged rice grains using visible and near infrared hyperspectral imaging technique

Geographical origin discriminant analysis of Chia seeds (Salvia hispanica L.) using hyperspectral imaging

(2021) Ji-Young Choi et al.   JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality

(2020) Guangxin Ren et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Vis/NIR hyperspectral imaging distinguishes sub-population, production environment, and physicochemical grain properties in rice

(2020) Jinyoung Y. Barnaby et al.   Scientific Reports

Identification of Corn Seeds with Different Freezing Damage Degree Based on Hyperspectral Reflectance Imaging and Deep Learning Method

(2020) Jun Zhang et al.   Food Analytical Methods

Evaluation of Dianhong black tea quality using near‐infrared hyperspectral imaging technology

(2020) Guangxin Ren et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Detection of chocolate powder adulteration with peanut using near-infrared hyperspectral imaging and Multivariate Curve Resolution

(2020) Antoine Laborde et al.   FOOD CONTROL

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

(2020) Yuzhen Lu et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Fuzzy controller based E-nose classification of Sitophilus Oryzae infestation in stored rice grain

(2019) Shubhangi Srivastava et al.   FOOD CHEMISTRY

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

Non-destructive screening method for detecting the presence of insects in sorghum grains using near infrared spectroscopy and discriminant analysis

(2019) Poliana Macedo Santos et al.   MICROCHEMICAL JOURNAL

Application of an expert system of X‐ ray micro computed tomography imaging for identification of Sitophilus oryzae infestation in stored rice grains

(2019) Shubhangi Srivastava et al.   PEST MANAGEMENT SCIENCE

FTNIR-A Robust Diagnostic Tool for the Rapid Detection of Rhyzopertha dominica and Sitophilus oryzae Infestation and Quality Changes in Stored Rice Grains

(2018) Shubhangi Srivastava et al.   Food and Bioprocess Technology

Identification and differentiation of insect infested rice grains varieties with FTNIR spectroscopy and hierarchical cluster analysis

(2018) Shubhangi Srivastava et al.   FOOD CHEMISTRY

Determination of insect infestation on stored rice by near infrared (NIR) spectroscopy

(2018) Alessandra Biancolillo et al.   MICROCHEMICAL JOURNAL

Detection and prediction of Sitophilus oryzae infestations in triticale via visible and near-infrared spectral signatures

(2017) M.K. Khedher Agha et al.   JOURNAL OF STORED PRODUCTS RESEARCH

Detection of Adult Beetles Inside the Stored Wheat Mass Based on Their Acoustic Emissions

(2015) P. A. Eliopoulos et al.   JOURNAL OF ECONOMIC ENTOMOLOGY

Dynamic functional principal components

(2014) Siegfried Hörmann et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY