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
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 […]
21
Feb
Cross-continental disease and crop modeling collaborations to beat back wheat blast
Cross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat blast in Brazil and Bangladesh. Wheat blast disease is a major threat to smallholder farmers. The disease was first discovered in Brazil in 1985. Decades later it escaped from South America when it crept its […]
11
Jan
10th DSSAT Development Sprint at the University of Florida
The 10th DSSAT Development Sprint was held from January 07-11, 2019, at the Institute for Sustainable Food Systems & Agricultural and Biological Engineering Department of the University of Florida. The DSSAT Development Sprints are open to anyone interested in programming, but note these are not advanced training workshops.
19
Oct
DSSAT 2018 @ Thailand
The DSSAT 2018 & MWCropDSS International Training Program was successfully held at the Green Lake Resort Hotel, Chiang Mai, Thailand from August 27 through September 1, 2018. A total of 24 participants from China (4), Bhutan (1), India (1), Indonesia (1), Japan (1), Thailand (15), USA (1), and 2 observers attended the workshop. The workshop […]
28
Aug
22nd Annual Open Forum on Crop Modeling and Decision Support Systems
The DSSAT Foundation will be sponsoring the 22nd Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA 2018 International Annual Meeting. The forum is scheduled for Monday night, November 5, 2018, from 7:30 – 9:00 pm in Room 332 of the Baltimore Convention Center in Baltimore, Maryland. The forum is an […]
17
Jul
9th DSSAT Development Sprint at the University of Arizona
The 9th DSSAT Development Sprint was held from July 09-13, 2018, at the Maricopa Agricultural Research Center (MAC) of the University of Arizona in collaboration with the Arid Land Agricultural Research Center (ALARC) of USDA-ARS. The workshop was attended by scientists from Brazil, Jordan, Mexico, South Korea, and the USA. One of the main goals […]
