The Annual Meeting of the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America (ASA-CSSA-SSSA) is the grand confluence of scientists, professionals, and organizations focused on agronomy, crop science, and soil science. The 2023 Annual Meeting was held from October 29 through November 1, 2023 in St. Louis, MO […]
01
Nov
16
Oct
Bilateral Project Between Ankara University and the University of Florida on Capacity Building
Ankara University, in collaboration with the University of Florida, developed a project entitled “Capacity Building on the Dissemination of the Use of Agro-technological Decision Support Systems in Agriculture.” The project has been funded by the US Embassy in Türkiye under the auspices of a US-Türkiye bilateral Program. The project team includes seven scientists from Ankara […]
03
Mar
AgMIP9 – Modeling the Future of Food
The AgMIP9 Global Workshop will be hosted by Columbia University in New York City, USA from June 26-30, 2023. This year’s theme is “Modeling the Future of Food.”. Abstract submission has ended but detailed information about registration can be found on the AgMIP web portal. AgMIP9 will be organized as a hybrid meeting and will […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 […]
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 […]
