Sebastian Varela (@pixelvar79) profile picture

Sebastian Varela

@pixelvar79
 Champaign, IL
Joined October 2010
  • Tweets18
  • Following128
  • Followers122
Sebastian Varela retweeted
CABBI (@CABBIbio) profile picture
CABBI@CABBIbio24 Apr 2025
A team led by CABBI Director Andrew Leakey & Postdoc Sebastian Varela created a machine-learning tool that can teach itself to differentiate between aerial images of flowering & nonflowering grasses—greatly accelerating agricultural field research. News ➡️news.illinois.edu/new-approa…
Portrait photo of Andrew Leakey against a dark background. (Photo by Craig Pessman / University of Illinois Urbana-Champaign)

ALT Portrait photo of Andrew Leakey against a dark background. (Photo by Craig Pessman / University of Illinois Urbana-Champaign)

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Team adds powerful new dimension to phenotyping next-gen bioenergy crop @UofIllinois doi.org/gq6m58 phys.org/news/2022-11-team-p…
Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to...

Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to...

Miscanthus is one of the most promising perennial crops for bioenergy production, with high yield potential and a low environmental footprint. The increasing interest in this crop requires accelera...

mdpi.com
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Sebastian Varela retweeted
CABBI (@CABBIbio) profile picture
CABBI@CABBIbio4 Nov 2022
CABBI researchers combined machine learning & 3-D drone imaging to create a powerful new tool to measure growth in #miscanthus. The result is a faster and cheaper way to evaluate the most promising varieties of this next-generation #bioenergy crop! 🌱 ➡️ cabbi.bio/cabbi-team-adds-po…
An unmanned aerial vehicle (drone) collects images over a Miscanthus sacchariflorus field trial at the University of Illinois Energy Farm in October 2020. Credit: Sebastian Varela, CABBI

ALT An unmanned aerial vehicle (drone) collects images over a Miscanthus sacchariflorus field trial at the University of Illinois Energy Farm in October 2020. Credit: Sebastian Varela, CABBI

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Sebastian Varela retweeted
Andrew Leakey (@leakey77) profile picture
Andrew Leakey@leakey7725 Oct 2022
Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus mdpi.com/1905090 #mdpiremotesensing via @RemoteSens_MDPI @DrSethMurray @ISUBiomass @TaylorGeoSTL @mjlara71
Image from Andrew Leakey (@leakey77)
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Sebastian Varela retweeted
Andrew Leakey (@leakey77) profile picture
Andrew Leakey@leakey7710 Sep 2022
New preprint: Deep convolutional neural networks exploit high spatial and temporal resolution aerial imagery to predict key traits in miscanthus. @pixelvar79 @CABBIbio @NAPPN_org @doescience @ASPB @ASA_CSSA_SSSA @TaylorGeoSTL @mjlara71 cabidigitallibrary.org/doi/1…
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Sebastian Varela retweeted
CABBI (@CABBIbio) profile picture
CABBI@CABBIbio8 Mar 2022
A new study by CABBI #Feedstock Production & #Sustainability researchers shows that using spatio-temporal 3D-convolution neural networks & UAV time series imagery helped rapidly predict lodging damage in sorghum & could enhance field plant phenotyping. 📰mdpi.com/2072-4292/14/3/733
CABBI science slide for a study entitled, "Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better Predict Lodging Damage in Sorghum."

ALT CABBI science slide for a study entitled, "Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better Predict Lodging Damage in Sorghum."

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Sebastian Varela retweeted
The Nobel Prize (@NobelPrize) profile picture
The Nobel Prize
@NobelPrize11 Feb 2022
We're celebrating the International Day of Women and Girls in Science! Let's look back on the life of Marie Skłodowska Curie: a Nobel Prize laureate who dedicated her life to science and became one of the world's greatest scientists. #WomenInScience #NobelPrize

Marie Skłodowska Curie

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Sebastian Varela retweeted
CABBI (@CABBIbio) profile picture
CABBI@CABBIbio20 Dec 2021
SUMMER INTERNSHIP OPPORTUNITY! Join us for RISE, our paid summer internship program in bioenergy research!🌱🔬 We are seeking undergrads nationwide from underrepresented groups to work with research mentors! 🔶 Deadline to apply: Feb. 24 Learn more!➡️ cabbi.bio/news/outreach/rise…
Photo of RISE intern Nariah Romero-Rudy in a greenhouse in 2021. Credit: CABBI Communications

ALT Photo of RISE intern Nariah Romero-Rudy in a greenhouse in 2021. Credit: CABBI Communications

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Sebastian Varela retweeted
Andrew Leakey (@leakey77) profile picture
Andrew Leakey@leakey7710 Feb 2022
Happy to share new machine-learning, UAV, high-throughput phenotyping study on lodging in biomass sorghum demonstrating the power of 3D-CNN and time-course data mdpi.com/2072-4292/14/3/733 @CABBIbio @iBioIllinois @IllinoisCropSci @IGBIllinois @NAPPN_org
Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better...

Implementing Spatio-Temporal 3D-Convolution Neural Networks and UAV Time Series Imagery to Better...

Unmanned aerial vehicle (UAV)-based remote sensing is gaining momentum in a variety of agricultural and environmental applications. Very-high-resolution remote sensing image sets collected repeatedly...

mdpi.com
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#Landsat 9 data is officially available to the public! Since the satellite launched, there have been many steps before we could call it fully operational. ⬇️ [1/5]

Landsat 9 Data Available!

Data from Landsat 9 is available to download from the USGS data archive. Joining Landsat 8 in orbit, there now will be new images of Earth’s landscapes and coastal regions every eight days.

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Sebastian Varela retweeted
CABBI (@CABBIbio) profile picture
CABBI@CABBIbio18 May 2021
A #CABBI study led by @pixelvar79 used high temporal resolution images from drones to understand the relative importance of dynamic and static information throughout the season to predict final above-ground biomass for sorghum. This could benefit work to improve bioenergy crops.
Graphic detailing a CABBI study led by Sebastian Varela, "Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning."

ALT Graphic detailing a CABBI study led by Sebastian Varela, "Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV Imagery Time Series and Machine Learning."

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New paper out #growthdynamics #yieldprediction #ML #bioenergycrops #research mdpi.com/2072-4292/13/9/1763 @RemoteSens_MDPI
Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV...

Understanding Growth Dynamics and Yield Prediction of Sorghum Using High Temporal Resolution UAV...

Unmanned aerial vehicles (UAV) carrying multispectral cameras are increasingly being used for high-throughput phenotyping (HTP) of above-ground traits of crops to study genetic diversity, resource...

mdpi.com
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Check out our new article @KSUCROPS #mdpiremotesensing Early-Season Stand Count Determination in Corn via Integration of Imagery from Unmanned Aerial Systems (UAS) and Supervised Learning Techniques mdpi.com/2072-4292/10/2/343 @RemoteSens_MDPI
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Sebastian Varela retweeted
KDnuggets (@kdnuggets) profile picture
KDnuggets
@kdnuggets7 Sep 2017
Global innovation rankings: The innovation game buff.ly/2xaBANd
Image from KDnuggets (@kdnuggets)
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#KSUCROPS UPDATE: #New PAPER, use of #drones x #corn #plant height @KStateAgron @kscorn @PrecisionHawk OPEN ACCESS: goo.gl/gkKJuC – at Manhattan, KS
Image from Ignacio A Ciampitti (@ICiampitti)
Image from Ignacio A Ciampitti (@ICiampitti)
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Irrigated versus dryland #Corn in the same field. Perry (KS). @KSUCrops
Image from Matías Aseguinolaza (@matiasaseg)
Image from Matías Aseguinolaza (@matiasaseg)
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Sebastian Varela retweeted
WIRED Science (@WIREDScience) profile picture
WIRED Science
@WIREDScience18 Jul 2016
Everything is a harmonic oscillator wired.com/2016/07/everything…
Everything—Yes, Everything—Is a Harmonic Oscillator

Everything—Yes, Everything—Is a Harmonic Oscillator

Physics undergrads might joke that the universe is made of harmonic oscillators, but they're not far off.

wired.com
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Sebastian Varela retweeted
The New York Times (@nytimes) profile picture
The New York Times
@nytimes14 Dec 2014
Climate Deal Would Commit Every Nation to Limiting Emissions nyti.ms/1xgmIXt
A Climate Accord Based on Global Peer Pressure (Published 2014)

A Climate Accord Based on Global Peer Pressure (Published 2014)

The agreement reached in Lima, Peru, would be a breakthrough in 20 years of efforts to create a global warming accord, but it falls short of what scientists say is needed.

nytimes.com
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