Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering

Research on the inversion analysis method based on crop growth model parameters in greenhouse

Authors
Zhiwei Zheng, Yangren Wang
Corresponding Author
Zhiwei Zheng
Available Online October 2016.
DOI
10.2991/jimec-16.2016.105How to use a DOI?
Keywords
growth model; inversion analysis; parameters; nonlinear programming
Abstract

Inversion analysis is conducted to ascertain crop growth model parameters of temperature, moisture stress index and dry matter conversion factor. The objective function of the inversion analysis is to minimize the error sum squares which simulated calculation of dry matter weight and measured value with coordinate alternation method. Based on the model, the economical irrigation system and irrigation low limit of the cucumber in greenhouse were calculated. Results show that the irrigation low limit of 85.3% is very close to the measured value of 85%. It shows that the model and its parameters are reasonable and feasible.

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 2016 Joint International Information Technology, Mechanical and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
10.2991/jimec-16.2016.105
ISSN
2352-5401
DOI
10.2991/jimec-16.2016.105How 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  - Zhiwei Zheng
AU  - Yangren Wang
PY  - 2016/10
DA  - 2016/10
TI  - Research on the inversion analysis method based on crop growth model parameters in greenhouse
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 572
EP  - 579
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.105
DO  - 10.2991/jimec-16.2016.105
ID  - Zheng2016/10
ER  -