Home Webinars Role of Decision Support System (DSS) in Climate Induced Agricultural Risk Management

Event Details

  • Role of Decision Support System (DSS) in Climate Induced Agricultural Risk Management

  • Virtual

  • Webinar

  • Agriculture

  • Pichsinee Chuayrod
    +66 97426 5953

Decision Support System (DSS) for Understanding and Reducing Climate Risks

Without climate change adaptation, 800 million or 44% of people in South Asia will be living in moderate or severe climate hotspots by 20501 , which will push millions of people below the poverty line.

The nexus of climate change concerning agriculture, water, and transport calls for concerted efforts to increase investment in these sectors. Therefore, it is crucial to engage with these sectors and provide them with information, tools, and guidelines so that adequate risk assessments can become part of standard investment designs.

With support from the World Bank, the Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) and the Asian Disaster Preparedness Center (ADPC) are jointly implementing the Climate Adaptation and Resilience (CARE) for South Asia project to contribute to an enabling environment for climate resilience policies and investments in South Asia.

Under the project, RIMES will support the development or enhancement of Decision Support Systems (DSS) for the agriculture, water, transport, planning, and finance sectors in Bangladesh, Nepal, and Pakistan. These systems may facilitate climate-resilient initiatives and investments and assist in managing flood risks and climate risks in agriculture.

To maximize the use of DSS for climate-informed planning and decision-making, RIMES is organizing webinars for users to understand the components and functionalities of DSS and the data and analytics that the systems generate. The webinar series on Decision Support System (DSS) for Understanding and Reducing Climate Risks is divided into six different episodes and delivered online by Zoom.

The tentative dates and topics for the webinar’s episodes are:
  • March 3, 2021: An Overview of DSS
  • May 4, 2021: Role of DSS in Climate-Induced Agricultural Risk Management
  • July 7, 2021: DSS for the Water Sector
  • September 1, 2021: DSS for the Transport Sector
  • November 3, 2021: DSS for Disaster Management
  • December 1, 2021: DSS for the Planning and Finance Sectors

Episode 2: Role of DSS in Climate-Induced Agricultural Risk Management

May 4, 2021 | 15:00-16:30 (Bangkok time)

This is the second of the six-episode webinar series on Decision Support System (DSS) for Understanding and Reducing Climate Risks. The second webinar will further explore the applications of DSS for agricultural risk management and decision-making. The speakers for this episode include agricultural practitioners working in government and agriculture experts from the region with extensive knowledge of the recent technological advancements in agriculture.

Note: The first episode, An Overview of DSS of the webinar series, was organized on March 3. The webinar provided an overview of DSS and its application in various sectors, including agriculture risk management, water resource management, transport, and disaster management. The background information and presentations can be found here: http://www.careforsouthasia.info/event-details/?event-id=CARE-E00001


  • Explore the role of information technology in climate-smart agriculture
  • Discuss the operational challenges in decision making for agriculture in South Asia
  • Learn how a Decision Support System can assist in the decision-making process
  • Discuss the components of DSS for climate-smart agriculture


  • Policy-level users of DSS from the agriculture sector
  • Operational users of DSS, including provincial and local-level governments
  • RIMES, ADPC, and World Bank staff

Technical Specifications

Zoom is used as the webinar platform. Participants will have the opportunity to ask questions and make comments using the chat function. ADPC, and World Bank staff

Scan the QR code below or click here to attend the webinar.


Govindarajalu Srinivasan(Climate Scientist, RIMES)

Shah Kamal Khan(Project Director, BAMIS)

Kamalesh Kumar Singh(Head, Agro Met Division, India Meteorological Department)

Tshering Wangchen(Chief Agriculture Officer, Department of Agriculture, Bhutan)

Time Session
Mr. Thanut Rittichai, RIMES
Climate and Agriculture: Leveraging Technologies to Benefit Farmers
Dr. Govindarajalu Srinivasan, RIMES
Operational Challenges in Decision Making for Agriculture in South Asia
Dr. Shah Kamal Khan, Project Director, BAMIS
Agro-advisory Services in India – Recent Developments and Future Plans
Dr. Kamalesh Kumar Singh, India Meteorological Department
An Operational Agromet Decision Support System - Experience from Bhutan
Mr. Tshering Wangchen, Department of Agriculture, Bhutan
Panel Discussion and Q&A
Vote of Thanks and Closing

Contact Person

Pichsinee Chuayrod    

Speakers 5

Mr. Thanut Rittichai, RIMES    
Dr. Govindarajalu Srinivasan, RIMES    
Dr. Shah Kamal Khan, Project Director, BAMIS    
Dr. Kamalesh Kumar Singh, India Meteorological Department    
Mr. Tshering Wangchen, Department of Agriculture, Bhutan    

Participants (27)

Dr. AFM Tariqul Islam Bangladesh Agricultural Research Institute Bangladesh
Alamgir Alam Sylhet Agricultural University Bangladesh
Dr. Anjana Shakya ADPC Nepal
Mr. Clint Lagang RIMES Thailand
Mr. Dan Ryan
Mr. Deepak Nepal
Dr. Md. Mofazzel Hossain Bangladesh Rice Research Institute Bangladesh
Mr. Durga Prasad Upadhyay ADPC (Nepal Team) Nepal
Fahim Mahafuz Ruhad Sylhet Agricultural University Bangladesh
Ms. Karuna Adhikaree ADPC Nepal
Mr. Kasis Inape PNG National Weather Service Papua New Guinea
Dr. Mazharul Aziz Department of Agricultural Extension Bangladesh
Mr. Md Faruque Biswas LGED Bangladesh
Dr. Md. Abdul Mannan Bangladesh Meteorological Department Bangladesh
Mr. Md. Asadul Hoque ADPC Bangladesh
Dr. Md. Ismail Hossain Bangladesh Rice Research Institute Bangladesh
Dr. Mohammad Ashik Iqbal Khan Bangladesh Rice Research Institute (BRRI) Bangladesh
Mr. Niaz Md. Farhat Rahman Bangladesh Rice Research Institute Bangladesh
Dr. Pashupati Chaudhary
Mr. Phil N RIMES Philippines
Ms. Pichsinee Chuayrod RIMES Thailand
Mr. Rameshwar Rimal Nepal Agricultural Research Council Nepal
Mr. Sonam Dorji Agriculture Research and Development Centre, Samtenling Bhutan
Mr. Tashi Dorji Department of Agriculture, Bhutan Bhutan
Mr. Usman Butt RIMES Pakistan
Mr. Yogesh V Kapse FarmERP India

Frequently asked question (FAQ)

What Is a Decision Support System?

A decision support system (DSS) is a computerized program used to support determinations, judgments, and courses of action in an organization or a business. A DSS sifts through and analyzes massive amounts of data, compiling comprehensive information that can be used to solve problems and in decision-making.

What is real-time decision support?

At a fundamental level, the hope has always been that our information and decision support systems will help decision makers monitor events, and evaluate, choose and act on alternatives as events actually unfold.

Who uses computerized decision support?

Users including managers, staff, customers, the general public, and workers in business, government and not-for-profit organizations.

Can decision support help political leaders make decisions?

The rational, analytical decision-making approaches often thwarted by political and self-interest decision making.

Can DSS impact decision outcomes?

In some cases, a DSS has little impact on decision outcomes, but it may have other desirable benefits like faster decision making or reduced training costs for new decision makers. Some DSS actually increase the likelihood targeted users will make "good" decisions.

Can DSS improve strategic planning?

Decision support (DSS) can improve strategic planning and strategic control. Many organizations have not defined performance objectives and that limits possibilities. Setting measurable performance objectives is the first step toward using information technology to improve implementation of strategic plans.

Can multi-user visual simulations provide real world decision support?

The computing technology for creating realistic visual simulations has improved tremendously in the past 20 years. Today, Internet-based multi-user visual simulations like Second Life (www.secondlife.com) are creating excitement and interest in the possibilities of virtual reality for entertainment, e-business and education. My experiences suggest the possibilities for decision support are also exciting.

Can using a DSS have unintended negative consequences?

YES. Decision support is not a cure-all or a panacea. Researchers and managers often focus too much on the anticipated positive consequences of using a specific Decision Support System (DSS). Using a computerized system to support decision making can have anticipated and unanticipated negative consequences.

Do entrepreneurs need decision support?

Generally, decision support theory identified bureaucratic managers as the primary business decision makers who needed and wanted computerized decision support.

How smart is IBM Watson?

IBM is heavily promoting a cognitive system named Watson in television ads. A major selling point is that "IBM Watson thinks with us to help outthink competitors." This claim positions IBM Watson as a business decision support system. Has Watson advanced to the point where this claim of "help outthink competitors" is true?

What is the current state of decision support tools for climate change planning?

We researched over 50 tools for climate change planning. Of those, 58% were designed primarily to inform and engage, 38% enabled scenario planning, while just 26% supported decision analysis—comparing, analyzing, and ranking decision alternatives. (These functions were not mutually exclusive.)

What are the advantages of creating DSS tools that support effective climate change planning?

The Primary Advantage of a Decision Support Tool is its ability to promote coordination and collaboration across city departments, organizations, sectors, jurisdictions, regions, and countries. More than anything, effectively mitigating and adapting to the global impacts of climate change will require sharing information and collaborating on solutions at every level.

Is it possible for a DSS to assist non-expert forecasters in the selection and use of appropriate forecasting methods?

An expert system approach for this kind of DSS is possible to implement considering two factors. Firstly, Expert systems are good at encompassing judgment and 'rules of thumb'. Secondly, the ability of the program to explain how the system came to a certain conclusion.

How can DSS help in agriculture?

DSS can help farmers to solve issues related to crop productivity. DSS can help in better water management and optimized irrigation. A French research institute, Irstea (http://www.irstea.fr/accueil), has developed a software called "Pilot" which is capable of estimating future yields of crops based on climate conditions and irrigation.