TERRA Ref

TERRA Phenotyping Reference Platform. Advancing crop breeding and digital agriculture with lots of #opendata & #openscience.

[TERRA Ref @terra_ref]

Data from seasons 4 and 6 are now in the public domain - see "Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors" https://t.co/zSXiRW1vSK 1/n #opendata #agdata #data

[Abby Stylianou @abby621]

You can read the paper here: https://t.co/kd0hZ6phUe

And access the data or submit to the benchmark at https://t.co/3F0gibmxoy

[Abby Stylianou @abby621]

This is the product of many years of work by Zeyu, @rbpless, Austin, @NadiaShakoor, myself, and the late Todd Mockler, focused on leveraging the mind-bogglingly awesome @terra_ref imagery and genomics data to do novel genotype x phenotype discovery in sorghum.

[Agricultural Genome to Phenome Initiative @AG2PI]

Consider participating in this machine learning challenge organized by @abby621 through a #AG2PI seed grant award: https://t.co/cr05ULJoAa

can you identify the sorghum variety?

#NIFAfunded

[Abby Stylianou @abby621]

Super excited about the Sorghum-100 competition running on Kaggle right now as part of the @fgvcworkshop at #CVPR2022. Props to former student @justin_dulay and current student Maddie Pope for organizing this!

[TERRA Ref @terra_ref]

Check out the latest @kaggle challenge using TERRA REF imagery, can you identify Sorghum variety from images? Organized by @abby621 as part of #CVPR2022. Deadline May 30, 2022 https://t.co/XQ5CQbcccR #computervision #MachineLearning #plants

[TERRA Ref @terra_ref]

Awesome TERRA REF inspired art by Chen Wang. See more of her @NCSASoftware inspired art on her Instagram https://t.co/giOUnl0nsn

[Abby Stylianou @abby621]

What a crazy day!! I had to leave the @cvppa2021 workshop at the very end to give our department colloquium and missed that two of my and my collaborators papers tied (in a three way tie!) for best paper! Woohoo!!!

[TERRA Ref @terra_ref]

"Classification and Visualization of Genotype x Phenotype Interactions in Biomass Sorghum" by @abby621 @rbpless @NadiaShakoor and @MocklerLab https://t.co/v4cgInkLUM

tied for best paper @cvppa2021

[TERRA Ref @terra_ref]

A fantastic @cvppa2021 workshop @ICCV_2021 today with all papers and recordings of presentations available here (1/n) https://t.co/OkwJqrRPss

[TERRA Ref @terra_ref]

TERRA-REF���s High Resolution, Multi Sensor Plant Sensing Public Domain Data Offer the Computer Vision Community?" by @dlebauer @abby621 @NoahFahlgren @robkooper @KentonMcHenry and Max Burnette https://t.co/S3XvSFhZl0

best paper @cvppa2021 tied with (3/n)

[Abby Stylianou @abby621]

So excited about this! My group @SLUResearch will be leveraging @terra_ref data to run ML competitions to uncover genotype X phenotype relationships in biomass sorghum (and more generally developing a model for machine learning competitions to glean GXP understanding!)

[TERRA Ref @terra_ref]

Learn what it took to calibrate our hyperspectral cameras from Sagan et al 2021 (hint: it wasn't easy!) https://t.co/v1HA077GmD

[Danforth Center @DanforthCenter]

The confluence of #agtech & #geospatial is happening in #StLouis. Dr. Nadia Shakoor & Dr. Todd Mockler collaborated with @geo_slu and others on the publication, “Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data” in @IEEXplore: https://t.co/g3BmQ038WF

[University of Arizona @uarizona]

The University of Arizona will take part in a $20 million institute that aims to transform agriculture through artificial intelligence. https://t.co/o0OPZHAXGc

[TERRA Ref @terra_ref]

Predict end of season biomass from visual data, a #kaggle competition using TERRA-REF data https://t.co/7hq9CQNwca #computervision #MachineLearning

[David LeBauer @dlebauer]

@NickyCreux @NAPPN_org @Fabiteam1 @UPnasagric @UPPlantAndSoil Glad it was helpful - thanks also to @KristinaRiemer for putting it together and leading the walkthroughs, and the extended @terra_ref team for pulling together this dataset!

[TERRA Ref @terra_ref]

@TiffanyTimbers @michaelhoffman @jtleek @choldgraf Lots of options in almost 1/2 PB of public domain data ... https://t.co/lZL8DYIp1W

[Dr. Sierra Young @SierraNYoung]

New paper out led by @jingweimo89! We hope this is a useful resource for people working in #computervision and #machinelearning in #agriculture who want to get started quickly w/ existing data!

[PhenomeForce @ForcePhenome]

Data analysis is often the most challenging part of digital phenotyping! If you are interested in learning available, open-source tools in plant phenomics, join us in our free, online workshop series "Fridays Hands-On" in collaboration with @NAPPN_org

[TERRA Ref @terra_ref]

@peymanm @antonwasson @robkooper @NoahFahlgren @zhenbin_hu @MocklerLab @CropAdaptation @rbpless @KristinaRiemer The trait_data.zip is full of them! https://t.co/8JNvpQBl9m

[TERRA Ref @terra_ref]

Data from seasons 4 and 6 are now in the public domain - see "Data From: TERRA-REF, An open reference data set from high resolution genomics, phenomics, and imaging sensors" https://t.co/zSXiRW1vSK 1/n #opendata #agdata #data