scholarly journals Weed Manager—A model-based decision support system for weed management in arable crops

2009 ◽  
Vol 65 (2) ◽  
pp. 155-167 ◽  
Author(s):  
D.J. Parsons ◽  
L.R. Benjamin ◽  
J. Clarke ◽  
D. Ginsburg ◽  
A. Mayes ◽  
...  
Weed Science ◽  
2015 ◽  
Vol 63 (3) ◽  
pp. 676-689 ◽  
Author(s):  
Myrtille Lacoste ◽  
Stephen Powles

RIM, or “Ryegrass Integrated Management,” is a model-based software allowing users to conveniently test and compare the long-term performance and profitability of numerous ryegrass control options used in Australian cropping systems. As a user-friendly decision support system that can be used by farmers, advisers, and industry professionals, RIM can aid the delivery of key recommendations among the agricultural community for broadacre cropping systems threatened by herbicide resistance. This paper provides advanced users and future developers with the keys to modify the latest version of RIM in order to facilitate future updates, modifications, and adaptations to other situations. The various components of RIM are mapped and explained, and the key principles underlying the construction of the model are explained. The implementation of RIM into a Microsoft Excel® software format is also documented, with details on how user inputs are coded and parameterized. An overview of the biological, agronomic, and economic components of the model is provided, with emphasis on the ryegrass biological characteristics most critical for its effective management. The extreme variability of these parameters and the subsequent limits of RIM are discussed. The necessary compromises were achieved by emphasizing the primary end-use of the program as a decision support system for farmers and advisors.


2007 ◽  
Vol 18 (1) ◽  
pp. 56-79
Author(s):  
Hokey Min ◽  
Hyun-Jeung Ko ◽  
Chin-Soo Lin

With the unprecedented growth of international trade, a growing number of multinational firms have coped with logistical challenges of shipping products to and from unfamiliar territories in many countries. These logistical challenges include the cross-border transportation of products originated from inland port to another inland port isolated from major waterways. In particular, the lack of access to major waterways would not only constrain the intermodal transportation option, but also make door-to-door, containerized delivery services nearly impossible. Such a limited option would eventually lead to increased transportation costs and transit time, and thereby offset low-cost global sourcing advantages. To aid multinational firms in addressing the problem of determining the optimal supply chain link between inland origin and destinations ports, this article proposes a shortest-path model based decision support system. The usefulness of the proposed model-based decision support system was validated by its application to a real problem encountered by a multinational firm that would like to strengthen its foothold in the Chinese market.


2007 ◽  
Vol 1 (3) ◽  
pp. 296-300
Author(s):  
Yan Zhu ◽  
Liang Tang ◽  
Xiaojun Liu ◽  
Yongchao Tian ◽  
Xia Yao ◽  
...  

2019 ◽  
Vol 1255 ◽  
pp. 012082
Author(s):  
Taufiq ◽  
Herman Mawenkang ◽  
M. Zarlis ◽  
Saib Suwilo

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