@HarvestProgram profile picture
Harvest @HarvestProgram
Joined August 2018
  • Tweets 4,041
  • Following 1,678
  • Followers 7,316
900 Photos and videos
Pinned Tweet
Harvest@HarvestProgram
Jun 5
Our latest newsletter is live! - First global agricultural field boundary map released - New AI project for food security in conflict zones - Harvest2Market demonstrated at @CSIS - New opportunities with NASA Harvest and partners Read it here! 👉conta.cc/43giWkd
NASA Harvest's Fernanda Argueta presents Harvest2Market during CSIS' AI for Food Security Forum.

ALT NASA Harvest's Fernanda Argueta presents Harvest2Market during CSIS' AI for Food Security Forum.

ALT The Fields of the World Explorer App allows users to view agricultural fields around the world. This GIF zooms into an agrarian community outside Jodhpur, India, showing individual field boundaries. In the global view, purple indicates a lower density of fields while green indicates a higher density. In the local view, yellow fields have lower predictive confidence and green indicate higher confidence.

1
14
703
Agricultural maps can tell us where crops are grown. Mapping the boundaries of individual fields is much harder. Fields of The World changes that with a new global agricultural field boundary map covering more than 3 billion mapped field units across 241 countries & territories.

ALT The Fields of the World Explorer App allows users to view agricultural fields around the world. This GIF zooms into an agrarian community outside Jodhpur, India, showing individual field boundaries. In the global view, purple indicates a lower density of fields while green indicates a higher density. In the local view, yellow fields have lower predictive confidence and green indicate higher confidence.

1
6
34
1,283
Built from Sentinel-2 imagery and a training dataset of more than 1.6 million labeled fields from 24 countries, FTW was designed to work across very different farming systems, from smallholder landscapes to large commercial agricultural regions.
1
4
381
FTW is more than a global map. The Explorer App, API, and QGIS plugin let users generate field boundaries from recent satellite imagery, opening field-level analysis in regions where reliable agricultural maps did not exist. Read more👉nasaharvest.org/news/a-globa…

A Global Map of Fields for Real-World Use — NASA Harvest

In much of the world, we don’t have reliable maps of individual farm fields. We know where crops are grown, but not where one field ends and another begins. These field boundaries, or the outlines of...

nasaharvest.org
5
361
Before a project produces results, someone has to coordinate partners, manage proposals, support students, and keep the work moving forward. The Kerner Lab at Arizona State University is hiring a Research Administration Specialist to assist with this. 🔗asu.wd1.myworkdayjobs.com/AS…

1
2
6
672
Led by NASA Harvest AI & ML lead Hannah Kerner, the lab works on projects in AI, remote sensing, geospatial science & agriculture. This research operations role focuses on project coordination, partnerships, proposal development & student support rather than technical research.
1
1
521
The position offers a chance to work across a growing portfolio of research projects and collaborations spanning universities, government agencies, nonprofits, and industry partners. Based in Tempe, Arizona. Salary range: $70,000-$100,000, DOE. Applications close June 10.
1
364
How can AI help detect food crises before they escalate? @HarvestProgram, @ASU, @WashU @FEWSNET are building a GeoAI tool to spot early signs of food system instability in conflict and climate-impacted regions. Via Taylor Geospatial's GIFS Challenge go.umd.edu/2bhp

UMD Researchers Join National Effort to Use GeoAI to Predict Food System Instability

geog.umd.edu
3
3
296
NASA Harvest is joining @ASU , @WashU, and @FEWSNET on a new GeoAI project funded through the GIFS Challenge from Taylor Geospatial. The effort will help detect early signs of food system instability in conflict zones using satellite data and natural-language queries.
Examples of quarterly, semi-annual, and annual satellite-based embeddings from Al Jazirah, Sudan, in 2024, that allow users to identify critical food security signals, such as burn scars, field preparation, and harvest activity, using natural language. Credit: Arizona State University. Embeddings generated with OlmoEarth.

ALT Examples of quarterly, semi-annual, and annual satellite-based embeddings from Al Jazirah, Sudan, in 2024, that allow users to identify critical food security signals, such as burn scars, field preparation, and harvest activity, using natural language. Credit: Arizona State University. Embeddings generated with OlmoEarth.

1
5
13
596
The team plans to test the open-source tool in Sudan, Ukraine, Syria, and Haiti, where timely information on crop conditions and food assistance infrastructure can be difficult to access. Learn more here! 👉taylorgeospatial.org/gifs-aw…

1
1
3
263
15,000 years ago, a massive glacial lake covered parts of central North America. Today, its fertile lakebed supports a striking agricultural landscape in Manitoba, visible from the @Space_Station. Read more in NASA Earth Observatory's Image of the Day 👉science.nasa.gov/earth/earth…
3
222
NASA Harvest is hiring a Postdoctoral Associate with a focus on satellite remote sensing, crop modeling, geospatial AI, & food security. Focus areas include agricultural monitoring & crop yield forecasting across food insecure regions. 🔗umd.wd1.myworkdayjobs.com/en…

2
2
24
1,906
The role includes developing ML and deep learning models for agricultural monitoring, integrating crop simulation models with AI approaches, and building scalable geospatial data pipelines using multi-source satellite data and cloud platforms.
1
1
223
We’re looking for candidates with a PhD in remote sensing, geospatial science, environmental science, computer science, or related fields, plus strong Python and ML experience applied to geospatial or agricultural problems. Salary range: $85k–95k.
164
The May Crop Monitor report from @G20_GEOGLAM is out now! The reports contain growing conditions for major crops in top exporting countries, as well as countries at risk of food production shortfalls. Read the reports here!👉 cropmonitor.org/global-crop-…
14
38
2,380
NASA Harvest joined @AcresProgram and other NASA Earth science teams at the National 4-H Conference Career Fair, where students learned how @NASAEarth satellite data is used to monitor crops, track drought, and support agriculture.
1
1
2
281
For many students, it was the first time seeing how NASA data connects to real decisions in agriculture, from tracking crop conditions to monitoring drought across growing regions. nasaharvest.org/news/nasa-ag…

NASA Agriculture Teams Engage Students at National 4-H Conference — NASA Harvest

NASA Harvest joined NASA Acres and other NASA Earth science teams at this year’s National 4-H Conference Youth Career Fair, where students from across the country gathered in Washington, D.C. to...

nasaharvest.org
164
Our April newsletter is live now! - Comparison of 3 NASA Harvest yield forecast models - NASA at the National 4H Career Expo - EO4Ag workshop in Nairobi - Private sector partnership to expand ag monitoring in Ukraine Read it here! 👉conta.cc/4n7OLVe
NASA Harvest teams have developed 3 models to forecast crop yields around the world. This graphic and the associated article breaks own each model and when it works best.

ALT NASA Harvest teams have developed 3 models to forecast crop yields around the world. This graphic and the associated article breaks own each model and when it works best.

NASA's agricultural teams met with students at the National 4H Conference's Career Expo to discuss NASA's involvement in the ag sector and career opportunities.

ALT NASA's agricultural teams met with students at the National 4H Conference's Career Expo to discuss NASA's involvement in the ag sector and career opportunities.

NASA Harvest's Africa Lead Catherine Nakalembe speaks at a workshop in Nairobi, Kenya.

ALT NASA Harvest's Africa Lead Catherine Nakalembe speaks at a workshop in Nairobi, Kenya.
1
352
We're excited to join @CSISFoodWater today for the AI for Food Security Forum! NASA Harvest's Africa Lead @CLNakalembe will speak on a panel while our Markets, Trade, & Supply Chains team gives a demo of our Harves2Market tool! Register to watch online👉cs.is/4szUJjF
1
5
255
From orbit, Taiwan’s farmland forms a dense patchwork. Field size, shape, and layout reflect the steep terrain, water management, and long-term land use decisions. Satellite imagery makes those patterns visible at broad scales.
Farms raising an array of crops form an agricultural mosaic across Yunlin County in this image captured by the OLI (Operational Land Imager) on Landsat 9 on March 18, 2026.

ALT Farms raising an array of crops form an agricultural mosaic across Yunlin County in this image captured by the OLI (Operational Land Imager) on Landsat 9 on March 18, 2026.

A zoomed in portion of the map shows an area with a combination of large and small fields. Areas with large fields were generally once part of sugar plantations.

ALT A zoomed in portion of the map shows an area with a combination of large and small fields. Areas with large fields were generally once part of sugar plantations.

1
3
25
1,579
This agricultural mosaic shows how farmers adapt to tight space and complex geography, balancing productivity with the constraints of land and climate. More from NASA Earth Observatory: science.nasa.gov/earth/human…

An Agricultural Mosaic in Taiwan - NASA Science

Diversity reigns across the farmland of Yunlin County in southwestern Taiwan—a region that produces an array of crops on small farms.

science.nasa.gov
1
139
Load more