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