Crop Simulation Model
28
Jan

18th Hybrid DSSAT Development Sprint, January 17-20, 2023

University of Florida – In person participants Online participants During the week of January 17-20, 2023, the 18th DSSAT Development Sprint was held in a “Hybrid” format based on the success of the prior DSSAT Development “Hybrid” Sprints. The DSSAT Development Sprint was hosted by Global Food Systems Institute & Department of Agricultural and Biological […]

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01
Sep

DSSAT 2022 Training Course at S. Seifullin Kazakh Agro Technical University (KATU), Nur Sultan, Kazakhstan

Participants of the DSSAT 2022 Training Course held from August 15-19, 2022, at S. Seifullin Kazakh Agro Technical University (KATU), Nur Sultan, Kazakhstan The project entitled “Development of a decision-making system for the production of the main types of agricultural crops based on the adaptation of the DSSAT model for the growth and development of […]

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16
Aug

[Q] How to add a new Cultivar line in DSSAT?

The steps to add a new cultivar line to DSSAT can be a confusing process if you are new to DSSAT or have never had DSSAT training. We will guide you through this process in the steps below. Step #1: Open the DSSAT Shell as shown in Figure 1. Figure 1 Step #2: Follow the […]

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04
Apr

Final DSSAT Version 4.8 released

Since the release of DSSAT Version 4.7.5, the DSSAT model development team has been working diligently to improve the Cropping System Model (CSM) of DSSAT as well as the various tools, utilities, and application programs. Much progress was made during the DSSAT Development Sprints or Hackathons that are held bi-annually. We evaluated the first version […]

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18
Sep

24th Annual Open Forum on Crop Modeling and Decision Support Systems

The DSSAT Foundation will be sponsoring the 24th Annual Open Forum on Crop Modeling and Decision Support Systems during this year’s ASA-CSSA-SSSA 2021 International Annual Meeting. The forum is scheduled for Monday night, November 8, 2021, from 7:30 – 9:00 pm in Room 151 DEF of the Salt Palace Convention Center in Salt Lake City, […]

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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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