Prediction of wheat quality parameters using near-infrared spectroscopy and artificial neural networks

Artificial neural networks in foodstuff analyses: Trends and perspectives A review

(2009) Federico Marini   ANALYTICA CHIMICA ACTA

Estimation of oxygen uptake rate of tomato (Lycopersicon esculentum Mill.) fruits by artificial neural networks modelled using near-infrared spectral absorbance and fruit mass

(2009) Yoshio Makino et al.   FOOD CHEMISTRY

Feasibility of near-infrared hyperspectral imaging to differentiate Canadian wheat classes

(2008) S. Mahesh et al.   BIOSYSTEMS ENGINEERING

Predicting average regional yield and production of wheat in the Argentine Pampas by an artificial neural network approach

(2008) R. Alvarez   EUROPEAN JOURNAL OF AGRONOMY

Wavelet Analysis of Signals in Agriculture and Food Quality Inspection

(2008) Chandra B. Singh et al.   Food and Bioprocess Technology

Agronomic characteristics, grain quality and flour rheology of 372 bread wheats in a worldwide core collection

(2008) J. Bordes et al.   JOURNAL OF CEREAL SCIENCE

Feasibility in NIRS instruments for predicting internal quality in intact tomato

(2008) Katherine Flores et al.   JOURNAL OF FOOD ENGINEERING

Modeling of wheat soaking using two artificial neural networks (MLP and RBF)

(2008) M. Kashaninejad et al.   JOURNAL OF FOOD ENGINEERING

Genotypic variation of spring wheats for solvent retention capacities in relation to end-use quality

(2008) Imran Pasha et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Near-infrared prediction of milling and baking parameters of wheat varieties

(2007) Ondřej Jirsa et al.   JOURNAL OF FOOD ENGINEERING