🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Hey ag-friends, don't stress- we have plenty of resources to help the agricultural community thrive this growing season, including our Stress Degree Days for corn maps. Available here: mrcc.purdue.edu/VIP/indexSDD

NIFA -funded, DAWN is an free online toolkit for farmers that uses a climate prediction model to provide improved temperature and precipitation outlooks optimized for the Midwest for the next 6 months. Try the tools today at dawn.umd.edu.

Using the Dept. of Agriculture's agricultural data, Esri has created a StoryMap depicting American agriculture by the numbers. storymaps.arcgis.com/stories/49a7f1…

Happy National Corn Month! Try DAWN’s 4 tools - all developed to help farmers make decisions related to climate & weather conditions based on accurate seasonal forecasts instead of historical trends. DAWN is USDA-funded & free to use – try the tools at dawn.umd.edu.

Adda Ireba (Rwanda), Laura Smaniotto (Brazil), and Manuel Estevez (Argentina) presented their 10-week internship results with DAWN Project. Proud to guide these talented individuals at Nebraska Agronomy and Horticulture University of Nebraska-Lincoln Daugherty Water for Food Global Institute #DAWNInternship #FutureLeaders

Learn more about cover crops best management practices at this field day on September 10th. We’d love to see you there! Register and learn more: z.umn.edu/keepitcovered

Ready to maximize next year's crops? Mark your calendars 📅 The Getting it Right Crop Production webinar series kicks off in December. ndsu.ag/gircropwebinars

The DAWN Project worked with the Pittsburgh Supercomputing Center to optimize quick calculations & fast data movement needed to optimize AI learning. Learn more: psc.edu/farming-tools/

Join tomorrow morning at 10 a.m. CST as Guillermo Balboa presents a live demonstration of DAWN, an online toolkit for corn producers. Nebraska Agronomy and Horticulture go.unl.edu/dawnwebinar

Today at 10 a.m. CST! Tune in at go.unl.edu/dawnwebinar to learn more about DAWN's toolkit for corn farmers. 🌽

Tomorrow! Join at 11 CST as Guillermo Balboa gives an overview of DAWN's online toolkit for corn farmers! Register at go.unl.edu/dawnwebinar.

See you soon!

DAWN will be well-represented at #AGU24! See a full list of presentations and posters at dawn.umd.edu/news. First presentation is on Monday at 14:10. Jennifer Kennedy will present on estimating the impact of climate change on future cropland changes. AGU (American Geophysical Union)

Next Monday! Learn about DAWN from Guillermo Balboa and Tara Conway -- register at go.unl.edu/dawnwebinar3. If you can't make Monday's webinar, register for the Wednesday webinar at go.unl.edu/dawnwebinar4.

Want to learn more about how the DAWN platform can help corn producers make more informed decisions? Join the webinar today at 11 a.m. CST -- register at go.unl.edu/dawnwebinar3.

Last webinar of 2024! Join at go.unl.edu/dawnwebinar4.

Our work will be highlighted during a series of virtual seminars hosted by the Center for Behavioral & Experimental Agri-Environmental Research. The seminars start Feb. 3. See the schedule below and sign up for the seminar at zurl.co/hWDzn.

DAWN's Data Viewer has been updated so users can assess the accuracy of the two forecast models currently on the dashboard. Forecast models include NOAA's CFS and DAWN's CWRF model, a regional model tailored to the Corn Belt. Learn more: dawn.umd.edu/news

Calling for submissions. Editors welcome manuscripts on research, forecasts, and data products that support climate-smart agricultural crop decisions, emphasis on subseasonal-to-seasonal agricultural modeling and decision support. iopscience.iop.org/collections/er…

Calling for submissions. Editors welcome manuscripts on research, forecasts, and data products that support climate-smart agricultural crop decisions, emphasis on subseasonal-to-seasonal agricultural modeling and decision support. iopscience.iop.org/collections/er…