Agricultural products

ANN method to predict the drying characteristics of agricultural products such as hazelnut, bean and chickpea

MLPFF, BP

Topuz (2010) [31]

Carrot

Predicting properties of dried carrot based on composition, drying technique, and microstructural features

P

Kerdpiboon, et al., (2006) [32]

Cheese

Predicting the final process time in the acidification step for cheese production.

P

Jun-ichiHoriuchi, et al., (2004) [33]

Chicken

Predicting the final temperature of chicken carcasses in an industrial scale using ANN

MLPFF, BP

Silveira, et al. (2014) [34]

Chicken nuggets

Developing a model to predict the mechanical textural properties of the fried breaded chicken nuggets by using image texture processing

MLPFF

Qiao et al., (2007) [35]

Corn

Artificial neural networks to predict corn yield

MLPFF, BP

Uno et al., (2005) [36]

Crackers

Moisture content and water activity prediction of semi-finished cassava crackers from drying process with ANN

MLPFF

Lertworasirikul and Tipsuwan, (2008) [37]

Fresh outcrop milk cream

Discriminating season of production and feeding regimen of butters based on infrared spectroscopy and ANN

MLP

Gori et al., (2012) [38]

Food in general

Predicting of cold spot temperature in retort sterilization of starch-based foods

BP

Llave et al., (2012) [39]

Predicting the internal texture characteristics from extrusion food surface images with ANN

MLPFF, BP

Fan et al., (2013) [40]

Predicting of thermal conductivity of food as a function of moisture content, temperature and apparent porosity.

MLPFF, BP

Sablani, and Rahman, (2003) [41]

Grain

Predicting the moisture content of grain drying process using genetic algorithm

BP, RBF

Liu, et al., (2007) [42]

Ice cream

Predicting total acceptance of ice cream using ANN

MLPFF

Bahramparvar, et al., (2013) [43]

Meal of beef

Predicting shrinkage of ellipsoid beef joints as affected by water immersion cooking using image analysis and ANN

BP

Zheng et al., (2007) [44]

Molasses vinegar

Prediction by ANN of the physicochemical quality of cane molasses vinegar by time-temperature effect of food to flash evaporator-distiller

MLPFF, BP

Vásquez and Lescano, (2010) [45]

Oils

ANN as an alternative to other methods utilized to determine the fatty acid composition of oils.

MLPFF

Yalcin et al., (2012) [46]

Orange juice

Predicting physical properties of orange juice powder as well as process parameters in spray dryers.

MLPFF

Chegini et al., (2008) [47]

Orange, peach, pear

Predicting of viscosity of fruit juice as a function of concentration and temperature.

MLP

Rai et al., (2005) [48]

Peas

Predicting maturity index peas with ANN

MLP

Higginsa et al., (2010) [49]

Peppers

Predicting of storage quality of fresh-cut green peppers using ANN

MLPFF, BP

Meng, et al., (2012) [50]

Processing food in general

Predicting process parameters involved in thermal/pressure food processing using ANN

BP

Torrecilla et al., (2004) [51]

Plum juice

Predicting the permeate flux of red plum juice during membrane clarification

MLPFF

Nourbakhsh et al., (2014) [52]

Seeds

Predicting deoxynivalenol accumulation in barley seeds contaminated with Fusariumculmorum under different conditions

MLP, RBF

Mateo et al., (2011) [53]