Apple

Develop ANN-based apple classifier

MLP, BP

Bhatt et al., (2014) [18]

Apple classification system based on machine vision and ANN, which classifies apple in real time on the basis of physical parameters of apple such as size, color and external defects.

MLP, BP

Bhatt and Pant, (2013) [19]

Classification of apple surface features using machine vision and ANN

MLPFF

Yang, (1993) [20]

Beans

Classification of beans using computer vision system and ANNs

MLPFF

Kılıc et al., (2007) [21]

Boiled shrimp

Classifications of boiled shrimp’s shape using image analysis and ANN model.

MLP

Poonnoy et al., (2014) [22]

Cherries

Use of genetic artificial neural networks and spectral imaging for defect detection on cherries

MLPFF, BP

Guyer and Xiukun Yang, (2000) [23]

Food in general

A new pattern recognition method for detecting fouling on stainless steel is presented in food processing.

MLPFF, BP

Wallhäußer et al., (2011) [24]

Fruits

Pattern recognition of fruit shape quantitatively with ANN

SOM

Morimoto et al., (2000) [25]

Grape

Determination of anthocyanin concentration in whole grape skins using hyperspectral imaging and adaptive boosting ANN

MLPFF

Fernandes et al., (2011) [26]

Lamb

Classification according to prediction the lamb carcass grades using features extracted from lamb chop images

MLP

Chandraratne et al., (2007) [27]

Pig muscles

Duroc and Iberian pork neural network classification by visible and near infrared reflectance spectroscopy

RBF

Del Moral. et al., (2009) [28]

The starch of potato, cassava, corn

Classify the data set and to predict mechanical properties (tensile strength and strain at break of starch-based films using ANN

MLPFF

Dieulot and Skurtys, (2013) [29]

Wine

Prediction of problematic wine fermentations using ANN

MLP, BP

Román et al., (2011) [30]