Neural networks in food industry

Review and comparison of methods to study the contribution of variables in artificial neural network models

Muriel Gevrey, Ioannis Dimopoulos, Sovan Lek · Ecological Modelling · 2003 · 1.2K citations

Computing, Computer Science, Artificial Intelligence +11

Analysis of total phenolic, flavonoids, anthocyanins and tannins content in Romanian red wines: Prediction of antioxidant activities and classification of wines using artificial neural networks

Anamaria Hosu, Mircea Vasile Cristea, Claudia Cimpoiu · Food Chemistry · 2013 · 191 citations

Agriculture, Food Science, Viticulture +17

Rice crop yield prediction using artificial neural networks

Niketa Gandhi, Owaiz Petkar, Leisa Armstrong · 2016 · 141 citations · Full text

Agriculture, Agronomy, Crop Sciences +14

Classification of Pecorino cheeses using electronic nose combined with artificial neural network and comparison with GC–MS analysis of volatile compounds

Chiara Cevoli, Lorenzo Cerretani, Alessio Gori et al. · Food Chemistry · 2011 · 138 citations

Agriculture, Dairy Science, Food Science +16

Detection of cold injury in peaches by hyperspectral reflectance imaging and artificial neural network

Leiqing Pan, Qiang Zhang, Wei Zhang et al. · Food Chemistry · 2015 · 134 citations

Agriculture, Crop Sciences, Plant Sciences +12