Development, Validation, and Dissemination of a Decision Support System for Rainfed Rice Farming in Southeast Asia: A Case Study in Indonesia

2019 ◽  
pp. 193-207
Author(s):  
Keiichi Hayashi ◽  
Lizzida Llorca ◽  
Iris Bugayong
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Southeast Asia ◽  
Support System ◽  
Rice Farming ◽  
Rainfed Rice

scholarly journals Evaluating the Predictive Accuracy of the Weather-Rice-Nutrient Integrated Decision Support System (WeRise) to Improve Rainfed Rice Productivity in Southeast Asia

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 346
Author(s):  
Keiichi Hayashi ◽  
Lizzida Llorca ◽  
Iris Bugayong ◽  
Nurwulan Agustiani ◽  
Ailon Oliver Capistrano
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Southeast Asia ◽  
Support System ◽  
General Circulation ◽  
Predictive Accuracy ◽  
Circulation Model ◽  
Weather Data ◽  
Rice Productivity ◽  
Rainfed Rice

The weather-rice-nutrient integrated decision support system (WeRise) is an information and communications technology (ICT)-based tool developed to improve rainfed rice productivity. It integrates localized seasonal climate prediction based on the statistical downscaling of the Scale Interaction Experiment-Frontier Research Center for Global Change (SINTEX-F) ocean-atmosphere coupled general circulation model and real-time weather data with a crop growth model (ORYZA), to provide advisories on the optimum sowing timing using suitable varieties. Field validations were conducted to determine the applicability of WeRise and SINTEX-F in North Sumatra and West Nusa Tenggara, Indonesia, and Iloilo, Nueva Ecija and Tarlac, Philippines. Results showed that downscaled SINTEX-F outputs were applicable in these target provinces. Hindcast analysis using these outputs also showed a good model performance against locally observed historical weather data for both countries. Moreover, the on-farm experiments showed that higher grain yields were obtained using WeRise advisories on optimum sowing timing compared to the farmers’ sowing timings. Improved fertilizer recovery rates were also observed when WeRise advisories were followed. The results imply that WeRise can improve rainfed rice productivity in Southeast Asia. Further validation is recommended to determine its applicability in more countries of Southeast Asia.

scholarly journals Sustainable Production in Cement via Artificial Intelligence based Decision Support System: Case Study

2021 ◽  
pp. e00628
Author(s):  
Kübra Tümay Ateş ◽  
Cenk Şahin ◽  
Yusuf Kuvvetli ◽  
Bülent A. Küren ◽  
Aykut Uysal
Keyword(s):  
Artificial Intelligence ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Sustainable Production

Decision Support System for Radiotherapy Patient Scheduling: Thai Cancer Center Case Study

2021 ◽  
Author(s):  
Chawis Boonmee ◽  
Nirand Pisutha-Arnond ◽  
Wichai Chattinnawat ◽  
Pooriwat Muangwong ◽  
Wannapha Nobnop ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cancer Center ◽  
Patient Scheduling

scholarly journals Design of Condition-Based Decision Support System for Preventive Maintenance

2017 ◽  
Vol 20 (1) ◽  
pp. 19-22
Author(s):  
Róbert Galamboš ◽  
Jana Galambošová ◽  
Vladimír Rataj ◽  
Miroslav Kavka
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Preventive Maintenance ◽  
Maintenance Costs

Abstract Presented paper deals with the topic of preventive maintenance. A decision support system was designed, incorporating historical as well as forecast information to calculate the time remaining to preventive maintenance. The designed system optimizes maintenance costs without any further investment and running costs. An algorithm of the designed system is introduced and a case study of its implementation is described in the paper.

scholarly journals Validation of a Model Appropriateness Framework Using the Elbe Decision Support System

2011 ◽  
pp. 193-218
Author(s):  
Yue-Ping Xu ◽  
Martijn J. Booij
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
River Basin ◽  
Support System ◽  
River Basin Management ◽  
Development Stage ◽  
Decision Makers ◽  
Basin Management ◽  
Use Of Models

This paper describes validation of an appropriateness framework, which has been developed in a former study, to determine appropriate models under uncertainty in a decision support system for river basin management. Models are regarded as ‘appropriate’ if they produce final outputs within adequate uncertainty bands that enable decision-makers to distinguish or rank different river engineering measures. The appropriateness framework has been designed as a tool to stimulate the use of models in decision-making under uncertainty and to strengthen the communication between modelers and decision-makers. Through the application to a different river with different objectives in this validation study from the river used in the development stage, this paper investigates whether the appropriateness framework works in a different situation than it was designed for. Recommendations from the development stage are taken into account in this validation case study as well. The final results from the study showed a successful validation of the appropriateness framework and suggested further possibilities for the application in decision support systems for river basin management.

scholarly journals Web-Based Spatial Decision Support System andWatershed Management with a Case Study

2011 ◽  
Vol 02 (03) ◽  
pp. 195-203 ◽  
Author(s):  
Yanli Zhang ◽  
Ramanathan Sugumaran ◽  
Matthew McBroom ◽  
John DeGroote ◽  
Rebecca L Kauten ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Spatial Decision Support ◽  
Web Based
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