Exploring the Latest Applications and Developments of the Soil and Water Assessment Tool (SWAT) at the 29th Annual Conference

Key Highlights :

1. The Soil and Water Assessment Tool, SWAT, is a predictive computer model that uses millions of data points to provide decision-making insights for producers, land managers, and conservationists.

2. The annual conference is led by the inventors of SWAT, Raghavan “Srini” Srinivasan, Ph.D., director of the Texas A&M AgriLife Blackland Research and Extension Center, and Jeff Arnold, Ph.D., agricultural engineer with the U.S. Department of Agriculture Agricultural Research Service, USDA-ARS.

3. The conference included 120 technical presentations, 28 scientific poster presentations, and 95 participants from 32 countries.

4. The work of Srinivasan and his team has opened the doors to global conversations about possibilities for SWAT and other predictive modeling systems developed by Texas A&M AgriLife Research scientists at the center in Temple.

     The 29th annual conference on the Soil and Water Assessment Tool (SWAT) was held at Aarhus University in Denmark and saw more than 170 computer modeling scientists and researchers from 41 countries coming together to discuss the latest applications and developments of the predictive computer modeling system. The conference was led by the inventors of SWAT – Raghavan “Srini” Srinivasan, Ph.D., director of the Texas A&M AgriLife Blackland Research and Extension Center, and Jeff Arnold, Ph.D., agricultural engineer with the U.S. Department of Agriculture Agricultural Research Service, USDA-ARS, both at Temple.

     At the conference, more than 120 technical presentations discussed different aspects of the development of SWAT, including new hydrologic modeling applications; new modeling frameworks for crops; calibration of the system and workflow protocols; solutions for maintaining current SWAT data; new environmental simulation capabilities; and a host of integration research that combines SWAT capabilities with those of other technologies to expand overall modeling capability. Additionally, 28 scientific poster presentations were also presented.

     The conference also included a series of five SWAT workshops prior to the event, which saw 95 participants from 32 countries take part. These workshops covered introductory and advanced lessons, as well as integrations of SWAT with other computer modeling systems.

     In addition to the annual conference, Srinivasan has been a major contributor to the development of SWAT and pioneering new uses for the tool. Most recently, his team has undertaken a sensor development initiative with IBM. This work has opened up conversations about the possibilities for SWAT, as well as other predictive modeling systems developed by Texas A&M AgriLife Research scientists at the center in Temple.

     The post AgriLife Research extends big data predictive modeling expertise at Denmark conference appeared first on AgriLife Today, and the conference provided a great opportunity for researchers to come together and exchange ideas on the development of SWAT.

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