Predicting properties of cereals using artificial neural networks: A review
Publish place: Scientific Journal of Crop Science (SJCS)، Vol: 2، Issue: 7
Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_SJCS-2-7_002
تاریخ نمایه سازی: 26 اردیبهشت 1394
Abstract:
This communication reports the use of artificial neural networks (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 of cereals; crop detection; monitoring and positioning; grain identification; grain quality; barley production; colour and tannin; rice husk; forecasting market share; deoxynivalenol content in grain, etc. This article would be very valuable for agriculturalists, cereal researchers, food scientists, nutritionists, academicians and students, so that they can follow a suitable methodology according to their exact requirements for conducting research.
Keywords:
Agriculture Artificial neural networks (ANN) Artificial intelligence Barley Cereal Corn Oats Paddy Rice Rye Wheat
Authors
S. Goyal
Member, IDA, New Delhi, India.