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Sustainability 2017, 9(6), 956; doi:10.3390/su9060956

Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea

1
Department of Agricultural Economics and Rural Development, Seoul National University, Seoul 08826, Republic of Korea
2
Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Republic of Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Vincenzo Torretta
Received: 31 March 2017 / Revised: 30 May 2017 / Accepted: 31 May 2017 / Published: 12 June 2017
(This article belongs to the Section Sustainable Use of the Environment and Resources)
View Full-Text   |   Download PDF [328 KB, uploaded 12 June 2017]   |  

Abstract

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. View Full-Text
Keywords: optimal weed control; weed seed dynamics; Hamiltonian; maximum principle optimal weed control; weed seed dynamics; Hamiltonian; maximum principle
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Jeon, W.; Kim, K. Optimal Weed Control Strategies in Rice Production under Dynamic and Static Decision Rules in South Korea. Sustainability 2017, 9, 956.

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