News & Event
22
Jan

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 […]

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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.

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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 […]

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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 […]

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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 […]

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12
Apr

DSSAT 2018 @ Indonesia

A DSSAT training workshop was held from April 9 through April 13, 2018 at the Training Center of Pt. Great Giant Pineapple, Terbanggi Besar Km 77, Lampung Tengah, Indonesia. The workshop was attended by 21 participants who were introduced to an updated version of the ALOHA-Pineapple model of DSSAT Version 4.7, with specific applications as […]

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23
Mar

DSSAT 2018 @ Tunisia

A DSSAT International Training Program was held from March 19 through March 24, 2018 at Hôtel du Parc, Tunis, Tunisia. The workshop was financially sponsored by the Bundesanstalt für Geowissenschaften und Rohstoffe (BGR) in Hannover, Germany as part of the Coopération régionale pour une Gestion Durable des Ressources en Eau au Maghreb Project. The workshop […]

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05
Mar

Ongoing Improvements and Applications of the CERES-Rice Model

Rice is the most important cereal crop, and it is grown in a wide range of agro-environments, from temperate to tropical regions. It is also highly vulnerable to climatic variability and has a very low nutrient-use efficiency. Crop simulation models are an attractive option for understanding and predicting the effect of the multitude of factors and […]

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27
Feb

DSSAT 2018 IITA International Training Program

Decision Support for Agrotechnology Transfer (DSSAT) Team Leader and Facilitator, Gerrit Hoogenboom, led a team of DSSAT experts from the University of Florida on a 5-day international training program in IITA, Ibadan. The training titled: “Assessing crop production, nutrient management, climatic risk and environmental sustainability with simulation models,” was held from 26 February to 2 […]

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25
Jan

UF researchers are trying to grow potatoes and pineapples on a computer

UF researchers are discovering ways to efficiently use resources to provide for the world’s increasing population by growing digital crops. UF’s Institute of Food and Agricultural Sciences researchers, with the help of various fundings, have discovered new advances in precision agriculture, an interdisciplinary approach to farming that uses technology to form digital simulations of crop […]

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