Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops

Andrew Lewis; Marcus Randall; Ben Stewart-Koster; N Dieu Anh; M Burford; J Condon; N Van Qui; L Huu Hiep; J Sammut

Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops

Andrew Lewis, Marcus Randall, Ben Stewart-Koster, N Dieu Anh, M Burford, J Condon, N Van Qui, L Huu Hiep, J Sammut

Centre for Data Analytics

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

Abstract

Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks (BBNs) can help to accomplish this. For the problem described herein, farmers attempt to grow both rice and shrimp crops in the same physical area. The motivation becomes one of finding a set of conditions that minimises the probabilities of crop failures. In this work, we explore an existing BBN and determine a range of likely environmental scenarios and the factors that farmers can control to help improve the likelihood of harvesting successful rice and shrimp crops.

Original language	English
Title of host publication	Proceedings of the 16th International Conference on Computer Applications 2018
Place of Publication	Yangon
Publisher	University of Computer Studies, Yangon
Pages	85-93
Number of pages	9
Publication status	Published - 2018
Event	International Conference on Computer Applications - Yangon, Myanmar Duration: 22 Feb 2018 → 23 Feb 2018 Conference number: 16th http://www.ucsy.edu.mm/ucsy/ICCAConference13.do

Conference

Conference	International Conference on Computer Applications
Abbreviated title	ICCA 2018
Country/Territory	Myanmar
City	Yangon
Period	22/02/18 → 23/02/18
Internet address	http://www.ucsy.edu.mm/ucsy/ICCAConference13.do

Cite this

@inproceedings{1f83a9c7c0144e35ad8f0ac488105997,

title = "Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops",

abstract = "Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks (BBNs) can help to accomplish this. For the problem described herein, farmers attempt to grow both rice and shrimp crops in the same physical area. The motivation becomes one of finding a set of conditions that minimises the probabilities of crop failures. In this work, we explore an existing BBN and determine a range of likely environmental scenarios and the factors that farmers can control to help improve the likelihood of harvesting successful rice and shrimp crops.",

author = "Andrew Lewis and Marcus Randall and Ben Stewart-Koster and {Dieu Anh}, N and M Burford and J Condon and {Van Qui}, N and {Huu Hiep}, L and J Sammut",

year = "2018",

language = "English",

pages = "85--93",

booktitle = "Proceedings of the 16th International Conference on Computer Applications 2018",

publisher = "University of Computer Studies, Yangon",

note = "International Conference on Computer Applications, ICCA 2018 ; Conference date: 22-02-2018 Through 23-02-2018",

url = "http://www.ucsy.edu.mm/ucsy/ICCAConference13.do",

}

Lewis, A, Randall, M, Stewart-Koster, B, Dieu Anh, N, Burford, M, Condon, J, Van Qui, N, Huu Hiep, L & Sammut, J 2018, Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops. in Proceedings of the 16th International Conference on Computer Applications 2018. University of Computer Studies, Yangon, Yangon, pp. 85-93, International Conference on Computer Applications, Yangon, Myanmar, 22/02/18.

Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops. / Lewis, Andrew; Randall, Marcus; Stewart-Koster, Ben et al.
Proceedings of the 16th International Conference on Computer Applications 2018. Yangon: University of Computer Studies, Yangon, 2018. p. 85-93.

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

TY - GEN

T1 - Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops

AU - Lewis, Andrew

AU - Randall, Marcus

AU - Stewart-Koster, Ben

AU - Dieu Anh, N

AU - Burford, M

AU - Condon, J

AU - Van Qui, N

AU - Huu Hiep, L

AU - Sammut, J

N1 - Conference code: 16th

PY - 2018

Y1 - 2018

N2 - Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks (BBNs) can help to accomplish this. For the problem described herein, farmers attempt to grow both rice and shrimp crops in the same physical area. The motivation becomes one of finding a set of conditions that minimises the probabilities of crop failures. In this work, we explore an existing BBN and determine a range of likely environmental scenarios and the factors that farmers can control to help improve the likelihood of harvesting successful rice and shrimp crops.

AB - Efficiencies in farming practice in many parts of South East Asia can make substantial, positive differences to villages and communities. The use of automated decision-assistance tools such as Bayesian Belief Networks (BBNs) can help to accomplish this. For the problem described herein, farmers attempt to grow both rice and shrimp crops in the same physical area. The motivation becomes one of finding a set of conditions that minimises the probabilities of crop failures. In this work, we explore an existing BBN and determine a range of likely environmental scenarios and the factors that farmers can control to help improve the likelihood of harvesting successful rice and shrimp crops.

M3 - Conference contribution

SP - 85

EP - 93

BT - Proceedings of the 16th International Conference on Computer Applications 2018

PB - University of Computer Studies, Yangon

CY - Yangon

T2 - International Conference on Computer Applications

Y2 - 22 February 2018 through 23 February 2018

ER -

Explorations of a Bayesian Belief Network for the Simultaneous Farming of Rice and Shrimp Crops

Abstract

Conference

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