Garden City Community College (GCCC) in Garden City, Kansas has successfully concluded the first offering of Technology in Agriculture (AGRO-111), a course developed in collaboration with NASA Acres and Kansas State University and launched in Fall 2025. This partnership aligns closely with NASA Acres goals to support agricultural workforce development and expand access to Earth observation tools for students and educators.

This fall, NASA Acres reinforced its commitment to agricultural workforce development at the 2025 National Future Farmers of America (FFA) Convention & Expo, the nation’s leading event for agricultural education and leadership. With more than 70,000 students, educators, sponsors, and industry leaders in attendance, the convention represents an important pipeline for the next generation of farmers, scientists, engineers, and innovators.

NASA Acres Research, Development, and Extension Partners took the global stage at the 2025 Living Planet Symposium in Vienna, Austria, presenting groundbreaking work on Earth observation applications for both U.S. and international agriculture. Hosted by the European Space Agency, this triennial event brings together scientists, policymakers, and technology leaders from around the world to explore the future of satellite data and its role in addressing global challenges.

A new article released by researchers Tony Vorster and Nicholas Young at Colorado State University’s Natural Resource Ecology Laboratory, in partnership with the NASA Acres Consortium, explores how satellite imagery and other remote sensing technologies can inform rangeland management across the American West. The paper, "Opportunities and Limitations of Remote Sensing for Rangeland Management", offers land stewards a grounded, practical guide to navigating the growing suite of digital tools.

Soybean production in the U.S. has steadily been on the rise over the past two decades, driven by both its versatility and economic value - with national acreage growing by over 18 percent. There is growing interest in improving soybean management practices and better understanding seed quality traits. To support this effort, a team of researchers, led by Ignacio Ciampitti (formerly at Kansas State University, now at Purdue University) and Carlos Hernandez (Kansas State University), is advancing research that integrates in-field crop data with open-source satellite imagery to better understand factors that influence soybean quality and predict traits, such as protein and oil content, before harvest time.