Publication:
Application of dynamic programming to agricultural land allocation: Case study phutthamonthon district, nakhon pathom province, Thailand

2

Issued Date

2013-01-01

Resource Type

Conference Paper

ISSN

20780958

Other identifier(s)

2-s2.0-84880055267

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Lecture Notes in Engineering and Computer Science. Vol.2203, (2013), 893-897

Suggested Citation

Thana Sarttra, Suchada Manokuakoon, Sunthorn Horadee, Kittikorn Choosakulwong Application of dynamic programming to agricultural land allocation: Case study phutthamonthon district, nakhon pathom province, Thailand. Lecture Notes in Engineering and Computer Science. Vol.2203, (2013), 893-897. Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/31652

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Title

Application of dynamic programming to agricultural land allocation: Case study phutthamonthon district, nakhon pathom province, Thailand

Author(s)

Thana Sarttra
 Suchada Manokuakoon
 Sunthorn Horadee
 Kittikorn Choosakulwong

Other Contributor(s)

Mahidol University

Abstract

Agricultural land allocation problem under dynamic environments in selling prices and planting costs is complicated. Preliminary study found that most farmers decide on what to plant based on either current selling prices or traditional crops planted in the past. Main objective of this study is to determine the optimal agricultural land allocation. Firstly, product prices during different time periods are forecasted. Linear programming is formulated to represent the problem. Dynamic programming is then applied to solve for the optimal plan. Case study is the agricultural land allocation in Phutthamonthon district, Nakornpathom province, Thailand with the wish to improve famer's standard of living. The analytical results found that the benefit from agricultural planning using dynamic programming is superior to the traditional ways.

Keyword(s)

Computer Science

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URI

https://repository.li.mahidol.ac.th/handle/123456789/31652

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