Wheat Yield Prediction Using Artificial Neural Network and Crop Prediction Techniques (A Survey)
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 9
Abstract
This survey paper represents the forecasting techniques in the field of Agricultural (Wheat crop). Paper shows all the past research development of forecasting in all areas. The major forecasting models are Statistical, Metrological, Simulation, Agronomic, Remote Satellite Sensed, Synthetic and Mathematical in the field of Agricultural Yield. This paper shows compact combination of all these models and shows why Neural Network Model is important from other models for nonlinear data behavior system like wheat crop yield prediction.
Authors and Affiliations
Mr. Vikas Lamba, Dr. V. S. Dhaka
Keywords
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- EP ID EP18740
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