Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials

Model of Grey Mean Generating Function and Its Application Pesticide Quantity Prediction

Authors
Xiuhong Zhang, Yong Lin
Corresponding Author
Xiuhong Zhang
Available Online November 2016.
DOI
https://doi.org/10.2991/icimm-16.2016.2How to use a DOI?
Keywords
Pesticide Quantity; prediction model; Mean generating function.
Abstract

Now pesticide spray is an effective means to ensure and eliminate crop pests and diseases increased yield, but also impact on the ecological environment, food security, and so prediction of the amount of application of pesticide is an important topic in the current research. Therefore, this paper puts forward a kind of with the quantity of application of pesticide for prediction of grey function combination forecasting model. It can successfully predicate the sample data, and the method has good feasibility.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
Series
Advances in Engineering Research
Publication Date
November 2016
ISBN
978-94-6252-244-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/icimm-16.2016.2How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiuhong Zhang
AU  - Yong Lin
PY  - 2016/11
DA  - 2016/11
TI  - Model of Grey Mean Generating Function and Its Application Pesticide Quantity Prediction
BT  - Proceedings of the 6th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 6
EP  - 9
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-16.2016.2
DO  - https://doi.org/10.2991/icimm-16.2016.2
ID  - Zhang2016/11
ER  -