Crop Simulation Model
07
Aug

13th Virtual DSSAT Development Sprint

The 13th DSSAT Development Sprint was held from July 20-24, 2020 as a Virtual Meeting due to continuing Covid-19 Pandemic. The DSSAT Development Sprint was hosted by the Institute for Sustainable Food Systems and the Department of Agricultural & Biological Engineering of the University of Florida. One of the main goals of the DSSAT Development […]

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22
Jun

Scientists from IITA, Wageningen and University of Florida are Optimizing Crop Models for Improved Predictions

The African Cassava Agronomy Initiative (ACAI) project scientists are working on optimizing crop models to improve the prediction of the AKILIMO decision support tools. The team is evaluating the performance of the Light Interception and Utilization (LINTUL) and Decision Support System for Agrotechnology Transfer (DSSAT) to predict the attainable yield of cassava under well managed […]

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28
May

Myles Fisher

On May 27, 2020, Dr. Myles Fisher passed away after suffering a stroke. Dr. Myles Fisher was an agronomist who after working for 22 years with the Australian Commonwealth Scientific and Industrial Research Organization (CSIRO), spent most of his career as a scientist associated with the International Center for Tropical Agriculture (CIAT) based in Palmira […]

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10
Apr

DSSAT Source Code Now Fully Open

The DSSAT community is committed to promoting development of all DSSAT models and software tools as open source projects. As of December, 2019, the DSSAT Cropping System Model (CSM) code is fully open and accessible via GitHub under the BSD 3-Clause “New” or “Revised” License. This license is similar to the BSD 2-Clause License, but with […]

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06
Dec

Cultivating Food Security in Africa

University of Florida (UF) researchers of the Institute for Sustainable Food Systems are developing ways to combat food insecurities in Africa. The African Cassava Agronomy Initiative is a five-year project to advance cassava farming by offering decision support tools. Farmers can access these applications to identify ways to maximize crop yield, improve root starch quality, and reduce […]

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