Predicting properties of cereals using artificial neural networks: A review

Abstract

This communication reports the use of artificial neuralnetworks (ANN) in cereals and analyzes the major contribution of ANN in cereals(barley, corn, maze, oats, paddy, rice, rye and wheat) for prediction,forecasting, analysis and assessment, viz., cereal production; cereal yield;cereal quality; moisture; nitrogen and protein in cereals; water requirement ofcereals; crop detection; monitoring and positioning; grain identification;grain quality; barley production; color and tannin; rice husk; forecastingmarket share; deoxynivalenol content in grain, etc. This article would be veryvaluable for agriculturalists, cereal researchers, food scientists,nutritionists, academicians and students, so that they can follow a suitablemethodology according to their exact requirements for conducting research.