Crop Evapotranspiration Estimation using Fuzzy Logic

Yutthana Phankamolsil; Ekasit Kositsakulchai

Crop Evapotranspiration Estimation using Fuzzy Logic

Yutthana Phankamolsil
, Ekasit Kositsakulchai

Interdisciplinary Studies Academic Group

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This research applied the Fuzzy Set Theory in assessing crop evapotranspiration. The fuzzy rule-based model was developed for estimating evapotranspiration of sugarcane in Song-Phi-Nong Irrigation Project, Suphanburt. The input variables include air temperature, crop development stages and sunshine duration. The calibration and validation were performed by comparing the results simulated by the model with those calculated by Penman-Monteith method. The results from both methods are comparable. Furthermore, the model is capable to simulate daily evapotranspiration from monthly data with reasonable results. The Fuzzy Set Theory is en applicable approach in the field of irrigation engineering. However, its applications require a good understanding of the system in order to define the accurate and appropriate logic of the system.

Original language	English
Title of host publication	Proceedings of 41st Kasetsart University Annual Conference
Publisher	Kasetsart University
Pages	89-96
Number of pages	8
ISBN (Print)	9745372358, 9789745372351
Publication status	Published - 2003
Event	Proceedings of 41st Kasetsart University Annual Conference - Bangkok, Thailand Duration: 3 Feb 2003 → 7 Feb 2003

Publication series

Name	Proceedings of 41st Kasetsart University Annual Conference

Conference

Conference	Proceedings of 41st Kasetsart University Annual Conference
Country/Territory	Thailand
City	Bangkok
Period	3/02/03 → 7/02/03

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 6 Clean Water and Sanitation

Cite this

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title = "Crop Evapotranspiration Estimation using Fuzzy Logic",

abstract = "This research applied the Fuzzy Set Theory in assessing crop evapotranspiration. The fuzzy rule-based model was developed for estimating evapotranspiration of sugarcane in Song-Phi-Nong Irrigation Project, Suphanburt. The input variables include air temperature, crop development stages and sunshine duration. The calibration and validation were performed by comparing the results simulated by the model with those calculated by Penman-Monteith method. The results from both methods are comparable. Furthermore, the model is capable to simulate daily evapotranspiration from monthly data with reasonable results. The Fuzzy Set Theory is en applicable approach in the field of irrigation engineering. However, its applications require a good understanding of the system in order to define the accurate and appropriate logic of the system.",

author = "Yutthana Phankamolsil and Ekasit Kositsakulchai",

year = "2003",

language = "English",

isbn = "9745372358",

series = "Proceedings of 41st Kasetsart University Annual Conference",

publisher = "Kasetsart University",

pages = "89--96",

booktitle = "Proceedings of 41st Kasetsart University Annual Conference",

note = "Proceedings of 41st Kasetsart University Annual Conference ; Conference date: 03-02-2003 Through 07-02-2003",

}

TY - GEN

T1 - Crop Evapotranspiration Estimation using Fuzzy Logic

AU - Phankamolsil, Yutthana

AU - Kositsakulchai, Ekasit

PY - 2003

Y1 - 2003

N2 - This research applied the Fuzzy Set Theory in assessing crop evapotranspiration. The fuzzy rule-based model was developed for estimating evapotranspiration of sugarcane in Song-Phi-Nong Irrigation Project, Suphanburt. The input variables include air temperature, crop development stages and sunshine duration. The calibration and validation were performed by comparing the results simulated by the model with those calculated by Penman-Monteith method. The results from both methods are comparable. Furthermore, the model is capable to simulate daily evapotranspiration from monthly data with reasonable results. The Fuzzy Set Theory is en applicable approach in the field of irrigation engineering. However, its applications require a good understanding of the system in order to define the accurate and appropriate logic of the system.

AB - This research applied the Fuzzy Set Theory in assessing crop evapotranspiration. The fuzzy rule-based model was developed for estimating evapotranspiration of sugarcane in Song-Phi-Nong Irrigation Project, Suphanburt. The input variables include air temperature, crop development stages and sunshine duration. The calibration and validation were performed by comparing the results simulated by the model with those calculated by Penman-Monteith method. The results from both methods are comparable. Furthermore, the model is capable to simulate daily evapotranspiration from monthly data with reasonable results. The Fuzzy Set Theory is en applicable approach in the field of irrigation engineering. However, its applications require a good understanding of the system in order to define the accurate and appropriate logic of the system.

UR - https://www.scopus.com/pages/publications/0141763604

M3 - Conference contribution

AN - SCOPUS:0141763604

SN - 9745372358

SN - 9789745372351

T3 - Proceedings of 41st Kasetsart University Annual Conference

SP - 89

EP - 96

BT - Proceedings of 41st Kasetsart University Annual Conference

PB - Kasetsart University

T2 - Proceedings of 41st Kasetsart University Annual Conference

Y2 - 3 February 2003 through 7 February 2003

ER -

Crop Evapotranspiration Estimation using Fuzzy Logic

Abstract

Publication series

Conference

UN SDGs

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