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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/18673
Title: Neural method for site-specific yield prediction
Authors: Meena P.K.
Hardaha M.K.
Khare, Deepak
Mondal A.
Deep K.
Nagar A.
Pant M.
Bansal J.C.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: In the recent years, a variety of mathematical models relating to crop yield have been proposed. A study on Neural Method for Site –Specific Yield Prediction was undertaken for Jabalpur district using Artificial Neural Networks (ANN). The input dataset for crop yield modeling includes weekly rainfall, maximum and minimum temperature and relative humidity (morning, evening) from 1969 to 2010. ANN models were developed in Neural Network Module of MATLAB (7.6 versions, 2008). Model performance has been evaluated in terms of MSE, RMSE and MAE. The basic ANN architecture was optimized in terms of training algorithm, number of neurons in the hidden layer, input variables for training of the model. Twelve algorithms for training the neural network have been evaluated. Performance of the model was evaluated with number of neurons varied from 1 to 25 in the hidden layer. A good correlation was observed between predicted and observed yield (r = 0.898 and 0.648). © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 237- 246
URI: https://doi.org/10.1007/978-81-322-1768-8_22
http://repository.iitr.ac.in/handle/123456789/18673
Issue Date: 2014
Publisher: Springer Verlag
Keywords: Artificial neural network
Crop yield
Site specific
ISBN: 9.79E+12
ISSN: 21945357
Author Scopus IDs: 56513694100
56046268400
14060295600
56185631400
Author Affiliations: Meena, P.K., Department of Water Resources and Management, IIT, Roorkee, India
Hardaha, M.K., Department of Soil and Water Engineering, JNKVV, Jabalpur, India
Khare, D., Department of Water Resources and Management, IIT, Roorkee, India
Mondal, A., Department of Water Resources and Management, IIT, Roorkee, India
Corresponding Author: Meena, P.K.; Department of Water Resources and Management, IITIndia; email: pramodcae@gmail.com
Appears in Collections:Conference Publications [WR]

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