Sebastian Varela

[CABBI @CABBIbio]

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 ➡️https://t.co/JhnCBjekcb

[Phys.org Biology @physorg_biology]

Team adds powerful new dimension to phenotyping next-gen bioenergy crop @UofIllinois https://t.co/gzOnUH4MOI https://t.co/Gl0KozQUrx

[CABBI @CABBIbio]

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! 🌱

➡️ https://t.co/mCzd1KrCdT

[Andrew Leakey @leakey77]

Deep Convolutional Neural Networks Exploit High-Spatial- and -Temporal-Resolution Aerial Imagery to Phenotype Key Traits in Miscanthus https://t.co/yk8XIKRf5n #mdpiremotesensing via @RemoteSens_MDPI @DrSethMurray @ISUBiomass @TaylorGeoSTL @mjlara71

[Andrew Leakey @leakey77]

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 https://t.co/OHRRLKYHFV

[CABBI @CABBIbio]

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.

📰https://t.co/DvxHb2HtoF

[The Nobel Prize @NobelPrize]

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

[CABBI @CABBIbio]

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!➡️ https://t.co/7DEcq3QKeH

[Andrew Leakey @leakey77]

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 https://t.co/q4MkX7opis @CABBIbio @iBioIllinois @IllinoisCropSci @IGBIllinois @NAPPN_org

[ARCHIVED - NASA Landsat @NASA_Landsat]

#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]

[CABBI @CABBIbio]

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.

[Sebastian Varela @pixelvar79]

New paper out #growthdynamics #yieldprediction #ML #bioenergycrops #research https://t.co/DGkmtBrJyh @RemoteSens_MDPI

[Sebastian Varela @pixelvar79]

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 https://t.co/KYiWACcX51 @RemoteSens_MDPI

[KDnuggets @kdnuggets]

Global innovation rankings: The innovation game https://t.co/HyKsXy4hzh

[Ignacio A Ciampitti @ICiampitti]

#KSUCROPS UPDATE: #New PAPER, use of #drones x #corn #plant height @KStateAgron @kscorn @PrecisionHawk OPEN ACCESS: https://t.co/TqLI3Hw61Z

[Matías Aseguinolaza @matiasaseg]

Irrigated versus dryland #Corn in the same field. Perry (KS). @KSUCrops

[WIRED Science @WIREDScience]

Everything is a harmonic oscillator https://t.co/lGnCwEjuoz

[The New York Times @nytimes]

Climate Deal Would Commit Every Nation to Limiting Emissions http://t.co/j9tr4U1vF7