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PPHEN

@pphen.bsky.social

We are PPHEN, a newly established research group for precision phenotyping led by Lukas Roth, at Martin-Luther-University (MLU) Halle-Wittenberg, Germany, launching 1 April 2026!

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PPHEN @pphen.bsky.social · 10/07/2026

🌱 Congrats to Joaquin on GrowFields, accepted at #ECCV2026! It reconstructs 3D plant growth over time, tracking new organs and changing topology to measure leaf growth rates. Proud to have contributed as coauthors from PPHEN on this ETH Zurich project. www.joaquin-gajardo.github.io/growfields/

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PPHEN @pphen.bsky.social · 05/06/2026

🌱 We just sowed our first field experiment in Halle! A chickpea diversity panel kindly provided by Millicent Smith and Shanice Van Haeften from the University of Queensland, Australia. Can't wait to see how these Aussie varieties perform in German soil! 🐨🇩🇪

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PPHEN @pphen.bsky.social · 06/05/2026

Mechatronik, Robotik oder Elektrotechnik studiert? 🤖 OFFENE Stelle (unbefristet): Field Robotics Engineer bei PPHEN, MLU Halle – Drohnen & Roboter für Pflanzenwissenschaften auf’s nächste Level bringen. www.verwaltung.uni-halle.de/DEZERN3/AUSS... #Robotik #Mechatronik #Drohnen #Phänotypisierung

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PPHEN @pphen.bsky.social · 29/03/2026

Do you want to put your deep learning and computer vision skills to work on pressing real-world challenges in agriculture and plant breeding? OPEN post-doc position: www.verwaltung.uni-halle.de/DEZERN3/AUSS... 📅 Apply by: 2026-04-10 #ComputerVision #DeepLearning #PostDoc #Phenotyping #PlantScience

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PPHEN @pphen.bsky.social · 19/02/2026

🌱Hello Bluesky! We are PPHEN, a newly established research group for precision phenotyping led by Lukas Roth, at Martin-Luther-University (MLU) Halle-Wittenberg, Germany, launching 1 April 2026!

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PPHEN @pphen.bsky.social · 26/06/2025

!!! NEW DATASET !!! The Field Phenotyping Platform (FIP) 1.0 dataset is now available - a massive #OpenData set for winter #wheat research combining imaging, trait, environmental & genetic data! Open access paper: doi.org/10.1093/giga... #OpenScience #DataScience #CropImprovement #Phenotyping

doi.org

The FIP 1.0 Data Set: Highly resolved annotated image time series of 4,000 wheat plots grown in 6 years

AbstractBackground. Understanding genotype–environment interactions of plants is crucial for crop improvement, yet limited by the scarcity of quality pheno

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