Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea
This paper analyzes optimal weed control management strategies under static and dynamic decision rules. Seed bank is taken into account to introduce dynamics into the model. We present a numerical example of controlling Sheathed Monochoria (Monochoria Vaginalis) in Korean rice paddy fields. Our resu...
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Online Access: | http://www.mdpi.com/2071-1050/9/6/956 |
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doaj-94689f9d680b4a3f8e6808e5ee0849a82020-11-24T23:53:22ZengMDPI AGSustainability2071-10502017-06-019695610.3390/su9060956su9060956Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South KoreaWoongchan Jeon0Kwansoo Kim1Department of Agricultural Economics and Rural Development, Seoul National University, Seoul 08826, Republic of KoreaDepartment of Agricultural Economics and Rural Development, Seoul National University, Seoul 08826, Republic of KoreaThis paper analyzes optimal weed control management strategies under static and dynamic decision rules. Seed bank is taken into account to introduce dynamics into the model. We present a numerical example of controlling Sheathed Monochoria (Monochoria Vaginalis) in Korean rice paddy fields. Our results show that producers benefit from dynamic decision rules; higher income and more control of weed density can be obtained with the same amount of herbicide. In order to illustrate the magnitude of differences between static and dynamic models, a numerical example is presented using a data set from Korean rice production. When it comes to controlling weed density, Korean rice farmers are found to be better off under the dynamic model, and the magnitude of advantages are found to be more sensitive to herbicide efficacy and less sensitive to initial seed banks and germination rates in terms of weed density.http://www.mdpi.com/2071-1050/9/6/956optimal weed controlweed seed dynamicsHamiltonianmaximum principle |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Woongchan Jeon Kwansoo Kim |
spellingShingle |
Woongchan Jeon Kwansoo Kim Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea Sustainability optimal weed control weed seed dynamics Hamiltonian maximum principle |
author_facet |
Woongchan Jeon Kwansoo Kim |
author_sort |
Woongchan Jeon |
title |
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea |
title_short |
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea |
title_full |
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea |
title_fullStr |
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea |
title_full_unstemmed |
Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea |
title_sort |
optimal weed control strategies in rice production under dynamic and static decision rules in south korea |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-06-01 |
description |
This paper analyzes optimal weed control management strategies under static and dynamic decision rules. Seed bank is taken into account to introduce dynamics into the model. We present a numerical example of controlling Sheathed Monochoria (Monochoria Vaginalis) in Korean rice paddy fields. Our results show that producers benefit from dynamic decision rules; higher income and more control of weed density can be obtained with the same amount of herbicide. In order to illustrate the magnitude of differences between static and dynamic models, a numerical example is presented using a data set from Korean rice production. When it comes to controlling weed density, Korean rice farmers are found to be better off under the dynamic model, and the magnitude of advantages are found to be more sensitive to herbicide efficacy and less sensitive to initial seed banks and germination rates in terms of weed density. |
topic |
optimal weed control weed seed dynamics Hamiltonian maximum principle |
url |
http://www.mdpi.com/2071-1050/9/6/956 |
work_keys_str_mv |
AT woongchanjeon optimalweedcontrolstrategiesinriceproductionunderdynamicandstaticdecisionrulesinsouthkorea AT kwansookim optimalweedcontrolstrategiesinriceproductionunderdynamicandstaticdecisionrulesinsouthkorea |
_version_ |
1725470115724525568 |