NASA Harvest News
NASA Harvest partner, Dr. Kaiyu Guan, worked with farmer partners at the Illinois Farm Bureau to produce this documentary exploring the innovative solutions that improve soil health and water quality that Illinois farmers are adopting. The video follows members of a three generation farming family in Bureau County, IL to learn how they are approaching agricultural sustainability.
A public-private partnership between NASA Harvest, TetraTechFlamingoo Foods Limited, and the Sokoine University of Agriculture has successfully finished a field campaign collecting demographic, field boundary, and precise yield data from hundreds of farmers in Katavi, Tanzania. Funded by the Enabling Satellite-based Crop Analytics at Scale (ECAAS) Initiative, this campaign's success can be scaled for future applications and use of Earth observations in modeling crop yield.
NASA Harvest recently teamed up with ESRI to improve our field data collection efforts by creating a mobile app, HarvestNow, that allows field enumerators to record the geolocated boundaries and types of crops grown within fields. This data is then easily uploadable to online databases and viewable to decision makers through online dashboards. After a successful pilot period in Malawi, NASA Harvest is excited to further expand HarvestNow's use.
NASA Harvest partner, Dr. Kaiyu Guan, was awarded the GroundBreaker Prize for his work supporting farmer decision-making to support soil health and the creation of MRV (monitoring, reporting and verification) regimes to assist ecosystem service markets. Awarded by The Foundation for Food & Agriculture Research (FFAR) and FoodShot Global, the GroundBreaker Prize recognizes "rising scientific stars whose research has identified technological and ecological tools that enable farmers to optimize yields and the long-term health of the land".
NASA Harvest and Planet have officially launched the Food Security and Agricultural Monitoring Solution, an offering aiming to deliver policy-grade agricultural monitoring and assessments of potential threats to global food security. It will combine the power of timely, frequent satellite data with AI and ML modeling, domain expertise and user input to scale an assessment tool that could play a key role in anticipating and averting food shortages or disruptions, and providing key information for policy support.
The Tri-State Neighbor, a local South Dakota newspaper, looks at Harvest's participation at the Farmers Business Network's Farmer2Farmer event in Omah, Nebraska. The article features Sarah Brennan, Deputy Program Manager of Water Resources and Agriculture at NASA Applied Sciences; Mary Mitkish, Assistant Program Manager at NASA Harvest; and Estefania Puricelli, NASA Harvest Markets & Trade Co-Lead
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The NASA Harvest Field Boundary Detection Challenge is open for entry! NASA Harvest, Radiant Earth Foundation, Zindi, USDA, and USAID are challenging interested participants to map smallholder fields in Eastern Rwanda. Participants will develop a fine-scale crop boundary classification method using high-resolution multispectral observations from Planet's Planetscope constellation. Contestants have until Feb 26, 2023 to develop and submit their solutions for $5,000 in prizes. More information on competition evaluation criteria and rules can be found here.
NASA will once again attend the Commodity Classic in 2023, where leading agricultural experts will discuss Earth observation data applications for food security challenges, water resource management, crop monitoring and forecasting, and farm management practices. Stop by the NASA booth to learn about NASA's agriculture activities and meet our partners!
NASA Harvest, alongside NASA Applied Sciences and the Navajo Nation Water Management Branch are holding a panel on the use of NASA satellite data to improve food security and water access. The panel will discuss the current efforts of two of NASA program areas (Water Resources and Agriculture) to improve agricultural decision making, better balance conservation and water needs, and more accurately identify hard hit drought areas.
On May 5, 2023 Harvest team members, Carnegie Mellon University Africa, Rwanda Space Agency and Clark University will host the 1st Machine Learning for Remote Sensing Workshop during the International Conference on Learning Representations in Kigali, Rwanda in May 2023. The goal of this workshop is to solicit research papers addressing advancements in the following topics as well as other relevant topics in Machine Learning for Remote Sensing, including solutions specific to the African context.