The DSSAT and MWCropDSS 2019 International Training Program entitled “Efficient and precision agricultural resource utilization under changes with simulation models and GIS” was successfully held from August 19 through August 24, 2019 at Chiang Mai University in Chiang Mai, Thailand. This workshop was jointly presented by Chiang Mai University, The University of Florida, and the […]
27
Aug
Ask Gerrit and Cheryl Anything about DSSAT
The crop models in Decision Support System for Agrotechnology Transfer (DSSAT) simulate growth, development, and yield as a function of the soil-plant-atmosphere dynamics. For more than 30 years, DSSAT has been used for many applications ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate […]
18
Jul
International DSSAT Training Workshop in South Africa
The Agricultural Research Council of South Africa will be hosting an International Crop Modeling Training Workshop on DSSAT in collaboration with the University of Florida and the DSSAT Foundation. The workshop will be held from September 30th to October 4th, 2019 at the ARC Offices in Pretoria, preceding the 35th Annual Conference of the South African […]
18
Jul
11th DSSAT Development Sprint at IFDC
The 11th DSSAT Development Sprint was held from July 15-19, 2019, at the International Fertilizer Development Center (IFDC) in Muscle Shoals, Alabama. One of the main goals of the DSSAT Development Sprints is to improve both the science and the tools of the DSSAT crop modeling ecosystem using a “hackathon” approach. Significant achievements and outcomes […]
15
Jul
Minimum Data Requirements for Crop Modeling
CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format or lacking key […]
15
Jul
DSSAT 2019 International Training Program at the University of Georgia
DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers […]
15
Jul
Second International Crop Modelling Symposium (iCROPM2020)
The Second International Crop Modelling Symposium (iCROPM2020) will be held February 3-5, 2020 in Montpellier, France. Four years after the first International Crop Modelling Symposium in Berlin (iCROPM2016), crop modelers from around the world will meet at the iCROPM2020 Symposium in Montpellier, France to exchange on advances in crop modelling and identify challenges and new […]
05
May
DSSAT 2019 International Training Program @ Thailand
The DSSAT and MWCropDSS 2019 International Training Program entitled “Efficient and precision agricultural resource utilization under changes with simulation models and GIS” will be held from August 19 through August 24, 2019 at Chiang Mai University in Chiang Mai, Thailand. This workshop is jointly presented by Chiang Mai University, The University of Florida, and the […]
14
Mar
DSSAT 2019 @ Vietnam
The significant rise in the frequency of extreme weather events in recent years has affected agricultural production systems and posture severe problems to farmers, agricultural scientists and extension officers, especially for making decisions at a field level. Hence, it is necessary to strengthen the capacity of regional extension personnel and scientists by providing significant strategies […]
21
Feb
GARDIAN and facilitating data interoperability at CGIAR
The CGIAR online search engine, GARDIAN, is easy to navigate and to perform simple queries to locate data and publications; however, there is a challenge to making these data useable on a large scale. There is a major gap between the potential value of data collected in agricultural experiments and the value currently obtained through […]
