Kaiyu Guan
Forecasting global crop productivity using novel satellite data and process-based models
(bbbj)Jan 2021 - Dec 2021
Integrating multi-satellite and multi-model to estimate crop gross primary productivity at field level covering the U.S. Corn Belt
(bbbm)Jan 2021 - Dec 2021
Forecasting global crop productivity using novel satellite data and process-based models
(gkj)Mar 2019 - Dec 2019
2021
2020
2019
2018
2017
2019
2018
2016
Sibo Wang: Forecasting Crop Productivity with High-Resolution Satellite Data: Scaling Up to the Whole US Corn Belt
Blue Waters Symposium 2018, Jun 6, 2018
Yunan Luo: Extracting Annual Crop Irrigation Fields at 30 meters using Landsat Time Series and Deep Learning
Blue Waters Symposium 2017, May 17, 2017
Scientists propose improvements to precision crop irrigation
Apr 29, 2021
Kaiyu Guan, assistant professor in NRES, Blue Waters professor with the National Center for Supercomputing Applications, and project leader on the study, pioneered a way to fuse high-resolution and high-frequency satellite data into one integrated high spatial-temporal resolution product to help track soil and plant conditions.
Sources:
- https://phys.org/news/2021-04-scientists-precision-crop-irrigation.html
- https://www.eurekalert.org/pub_releases/2021-04/uoic-ins042921.php
- https://www.sciencedaily.com/releases/2021/04/210429112359.htm
U of I researchers measure photosynthesis from space
Feb 16, 2021
Research team develops model to accurately calculate gross primary productivity (GPP) in bioenergy crops using satellite data.
Sources:
- https://www.eurekalert.org/pub_releases/2021-02/uoia-oot021621.php
- https://phys.org/news/2021-02-photosynthesis-space.html
- https://www.producer.com/crops/space-based-tech-allows-yield-prediction-and-carbon-monitoring/
New satellite-based algorithm pinpoints crop water use
Mar 20, 2020
A new high-resolution mapping framework called BESS-STAIR is composed of a satellite-driven biophysical model integrating plants' water, carbon and energy cycles—the Breathing Earth System Simulator (BESS)—with a generic and fully automated fusion algorithm called STAIR (SaTellite dAta IntegRation).
Sources:
- https://phys.org/news/2020-03-satellite-based-algorithm-crop.html
- https://www.technologynetworks.com/tn/news/satellite-system-preserves-water-resources-for-crops-332459
- https://electronics360.globalspec.com/article/14876/new-framework-provides-accurate-crop-water-use
- https://www.agdaily.com/crops/keep-cool-turned-temperatures-boost-crops-penchant-production/
- https://www.mcdonoughvoice.com/news/20201001/redefining-drought-in-us-corn-belt
- https://www.indianaenvironmentalreporter.org/posts/some-researchers-want-new-drought-definition
- https://www.agrinews-pubs.com/2020/10/11/redefining-drought-in-the-corn-belt/aia9g9h/
- https://www.newsbug.info/news/agriculture/scientists-redefine-drought-in-corn-belt/article_0c8e2a41-ecab-5433-83bd-277275680814.html
- https://cs.illinois.edu/news/pengs-collaborative-work-in-crop-prediction-earns-hpc-innovation-excellence-award
Nanosatellites improve detection of early-season corn nitrogen stress
Jan 13, 2020
For corn growers, the decision of when and how much nitrogen fertilizer to apply is a perennial challenge. Scientists have shown that nanosatellites known as CubeSats can detect nitrogen stress early in the season, potentially giving farmers a chance to plan in-season nitrogen fertilizer applications and alleviate nutrient stress for crops.
Sources:
- https://www.sciencedaily.com/releases/2020/01/200113153335.htm
- https://www.labmanager.com/news/2020/01/nanosatellites-improve-detection-of-early-season-corn-nitrogen-stress#.XiIHZxdKjUI
- https://www.agriculture.com/news/technology/detection-of-early-season-corn-nitrogen-stress-improved-with-nanosatellites
- https://www.no-tillfarmer.com/articles/9415-nanosatellites-improve-early-detection-of-nitrogen-stress-in-corn
- https://www.agrinews-pubs.com/2020/02/01/nanosatellites-improve-detection-of-early-season-corn-nitrogen-stress/acn66z9/
- https://www.whig.com/20200126/improving-detection-of-early-season-corn-nitrogen-stress
How Parallel Processing Solves Our Biggest Computational Problems
Nov 6, 2019
Researchers solved a four-decade-old mystery, proving that the innermost part of matter that orbits, then collapses into, black holes aligns with those black holes; Last year, researchers at U of I’s Department of Natural Resources and Environmental Sciences topped the feds’ industry-standard forecast by incorporating more data which proved more accurate by nearly five bushels per acre.
Sources:
New research accurately predicts Australian wheat yield months before harvest
May 13, 2019
New research harnesses machine learning to accurately predict wheat yields in Australia months before harvest. The method could be translated to other crops and nations.
Sources:
- https://earth.stanford.edu/news/better-way-predict-australian-wheat-yields#gs.dkp2tm
- http://7thspace.com/headlines/832252/new_research_accurately_predicts_australian_wheat_yield_months_before_harvest.html
- https://www.sciencedaily.com/releases/2019/05/190513112219.htm
- https://phys.org/news/2019-05-accurately-australian-wheat-yield-months.html
- https://www.eurekalert.org/pub_releases/2019-05/uoic-nra051319.php
- https://seedworld.com/new-research-accurately-predicts-australian-wheat-yield-months-before-harvest/
- https://www.hpcwire.com/off-the-wire/machine-learning-accurately-predicts-australian-wheat-yield-months-before-harvest/
HPC Career Notes: May 2019 Edition
May 1, 2019
The NSF has also named Kaiya Guan a recipient of an NSF CAREER Award.
Sources:
Excessive rainfall as damaging to corn yield as extreme heat, drought
Apr 30, 2019
In a new study, an interdisciplinary team from the University of Illinois linked crop insurance, climate, soil and corn yield data from 1981 through 2016.
Sources:
- https://jg-tc.com/business/agriculture/excessive-rainfall-as-damaging-to-corn-yield-as-extreme-heat/article_8890fe69-635a-56cb-afb9-1891a23ee844.html
- https://web.extension.illinois.edu/state/newsdetail.cfm?NewsID=37397
- https://www.sciencedaily.com/releases/2019/04/190430121744.htm
Illinois research accurately predicts U.S. end-of-season corn yield
Sep 27, 2018
Using seasonal forecasts and satellite data, researchers develop advanced corn yield prediction system for national and county levels.
Sources:
- https://www.feedstuffs.com/news/illinois-research-accurately-predicts-us-end-season-corn-yield
- http://infosurhoy.com/cocoon/saii/xhtml/en_GB/science/science-research-accurately-predicts-us-end-of-season-corn-yield-report/
- https://eurekalert.org/pub_releases/2018-09/uoic-ira092718.php
- https://phys.org/news/2018-09-accurately-end-of-season-corn-yield.html
- https://www.sciencecodex.com/illinois-research-accurately-predicts-us-end-season-corn-yield-623060
- https://www.sciencedaily.com/releases/2018/09/180927145320.htm
- https://www.agweb.com/article/new-model-said-to-predict-national-yields-better-than-usda/
- https://www.hpcwire.com/2018/10/01/ncsa-blue-waters-research-yields-better-crop-forecasts/
- https://www.agprofessional.com/article/new-model-said-predict-national-yields-better-usda
- https://www.graincentral.com/cropping/illinois-research-accurately-predicts-us-end-of-season-corn-yield/
- https://jg-tc.com/business/agriculture/illinois-research-accurately-predicts-u-s-end-of-season-corn/article_c5116e63-d349-5292-a14e-8c4d1ab84019.html
- https://www.rdmag.com/news/2019/02/researchers-predict-crop-yields-supercomputers-and-satellites
- https://www.hpcwire.com/off-the-wire/researchers-predict-crop-yields-with-supercomputers-and-satellites/
New algorithm fuses quality and quantity in satellite imagery
Jun 4, 2018
Using a new algorithm, University of Illinois researchers may have found the solution to an age-old dilemma plaguing satellite imagery – whether to sacrifice high spatial resolution in the interest of generating images more frequently, or vice versa. The team’s new tool eliminates this trade-off by fusing high-resolution and high-frequency satellite data into one integrated product, and can generate 30-meter daily continuous images going back to the year 2000.
Sources:
- https://news.illinois.edu/view/6367/657838
- https://www.agprofessional.com/article/researchers-generate-20-years-30-meter-resolution-satellite-images
- https://phys.org/news/2018-06-algorithm-fuses-quality-quantity-satellite.html
- https://www.eurekalert.org/pub_releases/2018-06/uoia-naf060418.php
- https://www.theengineer.co.uk/algorithm-satellite-imagery/
- https://www.domain-b.com/technology/20180605_satellite_imagery.html
- http://www.spacedaily.com/reports/New_algorithm_fuses_quality_and_quantity_in_satellite_imagery_999.html
- https://www.laserfocusworld.com/articles/2018/06/algorithm-fuses-high-resolution-high-frequency-satellite-data-for-complete-daily-image-maps.html
- https://www.graincentral.com/ag-tech/new-algorithm-fuses-quality-and-quantity-in-satellite-imagery/
- https://www.rdmag.com/article/2018/08/supercomputers-expedite-crop-data-satellites
Satellites, supercomputers, and machine learning provide real-time crop type data
Apr 4, 2018
Corn and soybean fields look similar from space -- at least they used to. But now, scientists have proven a new technique for distinguishing the two crops using satellite data and the processing power of supercomputers.
Sources:
- https://www.sciencedaily.com/releases/2018/04/180404143411.htm
- https://phys.org/news/2018-04-satellites-supercomputers-machine-real-time-crop.html
- https://www.eurekalert.org/pub_releases/2018-04/uoic-ssa040418.php
- https://www.rdmag.com/news/2018/04/satellites-supercomputers-and-machine-learning-provide-real-time-crop-type-data
- http://www.startribune.com/record-setting-early-april-springy-by-late-week/479082913/
- https://www.graincentral.com/cropping/satellites-supercomputers-and-machine-learning-provide-real-time-crop-type-data/
- https://www.scientificcomputing.com/news/2018/04/satellites-supercomputers-and-machine-learning-provide-real-time-crop-type-data
- https://www.farmersadvance.com/story/news/2018/04/10/tech-provides-real-time-crop-type-data/33708205/
- http://www.weathernationtv.com/news/satellites-supercomputers-provide-real-time-crop-growing-conditions-data/
- https://www.newfoodmagazine.com/news/106939/researchers-develop-real-time-crop-productivity-estimation-method/
- https://www.photonics.com/Articles/Monitoring_Corn_Production_with_Satellite_Imaging/a65621
- https://www.agdaily.com/crops/farmers-crop-productivity/
- https://jg-tc.com/lifestyles/over-the-coles-corn-productivity-in-real-time-satellites-field/article_ebc6e505-618f-58c9-b24e-819bfd4e5e82.html
- https://www.photonics.com/Articles/Monitoring_Corn_Production_with_Satellite_Imaging/a65621
Supercomputing Better Tools for Long-Term Crop Prediction
Feb 14, 2018
NCSA Professor Kaiyu Guan and NCSA postdoc fellow, Bin Peng have implemented and evaluated a new maize growth model. The CLM-APSIM model combines superior features in both Community Land Model (CLM) and Agricultural Production Systems sIMulator (APSIM), creating one of the most reliable tools for long-term crop prediction in the U.S. corn belt.
Sources:
- https://insidehpc.com/2018/02/supercomputing-better-tools-long-term-crop-prediction/
- https://www.hpcwire.com/off-the-wire/ncsa-researchers-create-reliable-tool-long-term-crop-prediction-u-s-corn-belt/
Predicting the effect of climate change on crop yields
Jan 3, 2018
Researchers from University of Illinois are attempting to bridge two types of computational crop models to become more reliable predictors of crop production in the U.S. Corn Belt.
Sources:
- https://www.eurasiareview.com/04012018-predicting-effect-of-climate-change-on-crop-yields/
- http://www.feedstuffs.com/news/two-types-models-integrated-predict-climate-effects-crop-yield
- https://phys.org/news/2018-01-effect-climate-crop-yields.html
- https://www.eurekalert.org/pub_releases/2018-01/uoic-pte010318.php
- https://www.sciencedaily.com/releases/2018/01/180103101153.htm
- http://www.sciencecodex.com/predicting-effect-climate-change-crop-yields-618111
- https://research.aces.illinois.edu/content/integrating-two-types-crop-models-predict-effect-climate-change-crop-yields
Harnessing rich satellite data to estimate crop yield
Aug 27, 2017
Without advanced sensing technology, humans see only a small portion of the entire electromagnetic spectrum. Satellites see the full range—from high-energy gamma rays, to visible, infrared and low-energy microwaves. The images and data they collect can be used to solve complex problems. For example, satellite data is being harnessed by researchers at the University of Illinois for a more complete picture of cropland and to estimate crop yield in the U.S. Corn Belt. “In places where we may see just the color green in crops, electromagnetic imaging from satellites reveals much more information about what’s actually happening in the leaves of plants and even inside the canopy. How to leverage this information is the challenge,” says Kaiyu Guan, an environmental scientist at the U of I and the lead author on the research. “Using various spectral bands and looking at them in an integrated way, reveals rich information for improving crop yield.”
Sources:
- http://www.hpj.com/crops/harnessing-rich-satellite-data-to-estimate-crop-yield/article_fcc66f26-f1d1-5503-b30c-6025f60836f4.html
- https://www.eurekalert.org/pub_releases/2017-08/uoic-hr081617.php
- http://news.aces.illinois.edu/news/harnessing-rich-satellite-data-estimate-crop-yield
Modeling the future of soybeans in the Midwest
Feb 3, 2017
How will the rising temperatures expected to occur with global climate change affect soybean growth in the Midwest? Rather than wait and see, researchers at the University of Illinois will use real crop data and computer modeling to better predict future impacts of higher temperatures on agricultural production and identify promising targets for adaptation. The project is being funded with a $420,000 USDA National Institute for Food and Agriculture grant. U of I environmental scientist Kaiyu Guan is the project director. Carl Bernacchi and Elizabeth Ainsworth are co-project directors. Both are plant physiologists in the U of I Department of Plant Biology and Department of Crop Sciences. The project will look at how temperature affects major plant processes such as photosynthesis and respiration.
Sources:
- http://ocj.com/2017/02/modeling-the-future-of-soybeans-in-the-midwest/
- http://www.agrinews-pubs.com/markets/will-climate-change-affect-soybean-yields/article_1a4ba8f3-0281-5936-b828-0b28c13b7f80.html
- http://www.agprofessional.com/resource-centers/soybeans/modeling-future-soybeans-midwest
- http://rockrivertimes.com/2017/02/02/modeling-the-future-of-midwest-soybeans/
NASA Career Award Winner Uses Blue Waters Supercomputer to Mine Crop Yield Data
Sep 22, 2016
A new faculty member at the University of Illinois who received a prestigious NASA Career award is now using the Blue Waters supercomputer on campus to gain new insights into crop yields through satellite data. Assistant professor Kaiyu Guan’s work builds off his previous research with satellite and earth system modeling. Prior to coming to Illinois, his PhD and postdoc work focused mostly on how rainfall and other components of the hydrological cycle control plant growth in tropical forests, savannas and farms.
Sources:
- https://www.hpcwire.com/off-the-wire/nasa-career-award-winner-uses-blue-waters-supercomputer-mine-crop-yield-data/
- http://www.ncsa.illinois.edu/news/story/nasa_career_award_winner_uses_blue_waters_supercomputer_to_mine_crop_yield
Adaptations to climate change impact long term crop yields
Sep 7, 2016
As the globe continues to spin toward a future with higher temperatures, crop yields will likely decrease if farmers do not adapt to new management or technology practices. Establishing new strategies is particularly difficult for sorghum farmers in West Africa where seed varieties and fertilizer are scarce, while drought and unpredictable rainfall are prevalent. Using more heat-resistant sorghum varieties may yield the most benefits, research shows. “Climate change will impact both natural and agricultural ecosystems on the planet. The difference is that farmers can do things to adapt to the changing climate, and hopefully alleviate the impacts on their crops,” says Kaiyu Guan, an environmental scientist at the University of Illinois.
Sources:
- http://rockrivertimes.com/2016/09/07/adaptations-to-climate-change-impact-long-term-crop-yields/
- https://www.newfoodmagazine.com/article/26757/farming-adaptations-climate-change-sustainability/