Interested in plant phenotyping, hyperspectral imaging and ML-driven data analysis?
Then apply and join us.
@latrobeuni.bsky.social
#APPN
#hypetspectral
#plantphenotyping
internaljobs.latrobe.edu.au/cai/en/job/5...
Three people smile together while sitting at a round, white table. Other people sitting at tables can be seen in the background.
The 2026 @nappn.bsky.social Annual Conference is in full swing at Michigan State University! We're looking forward to the next two days of innovation in #plantphenotyping across scales, including tomorrow's talks by PRI members Christopher Topp, Jonathan Concepcion, and Anuradha Singh! #NAPPN2026
New preprint from the PlantCV team! This paper on PlantCV v4 presents the work of the 62 contributors to the project since v2: www.biorxiv.org/content/10.1... #plantphenotyping #computervision #machinelearning
Better late than never—this issue contains updates for the global phenomics community, including the official announcement for the 9th International Plant Phenotyping Symposium (IPPS9).
mailchi.mp/cf81d5224490...
#PlantPhenotyping #IPPS9 #Phenomics #WACCI #PlantScience #IPPN
The newest IPPN Newsletter (Q3/2025) is now available!!
This edition provides essential, updates on the most recent global developments and community initiatives in plant Phenomics.
mailchi.mp/3e598fa3044c...
#PlantPhenotyping #Phenomics #ScienceNews #ECPN #Research #Agritech #EPPS2025
3D #Phenotyping - space carving from multiview images - now available in the LemnaTec software!
Access threedimensional traits by combining a series of side view images.
More details: info@lemnatec.com
#plantphenotyping #phenomics
High-throughput UGV-based phenotyping accurately maps tomato architectural traits & heritability over time, aiding crop breeding. #PrecisionAgriculture #PlantPhenotyping @oxfordacademic.bsky.social
Details: doi.org/10.1093/hr/u...
Next week, 16th to 19th the European Plant Phenomics Symposium (EPPS2025) in Bonn, Germany will start.
Here‘s the program:
epps2025.plant-phenotyping-network.de/EPPS_Home
I got the nice job to keep you updated under #EPPS2025
Stay tuned…
#PlantScience #PlantPhenotyping #Phenomics #PlantBreeding
#PlantPhenotyping & #Phenomics…
A snapshot from the cloud shows how divers plants & experimental settings can be studying #metabolic diversity and phenotypic plasticity…
#PlantScience…
Need to analyze phenotypic images 🌱, but no code writer available?
With LemnaGrid Graphical Programming 💻, anyone becomes an image processing programmer!
Drag the processing devices onto the interface, connect them and build an image processing pipeline.
#lemnatec #imageprocessing #plantphenotyping
IPPN is excited to announce a unique opportunity for African institutions to co-host the 9th International Plant Phenotyping Symposium (IPPS9) in 2026.
More information:
www.plant-phenotyping.org/index.php?in...
#IPPS9
#PlantPhenotyping
#AfricaHostsIPPS
#PlantScience
#Conference
🌾 𝗛𝗜𝗚𝗛-𝗧𝗛𝗥𝗢𝗨𝗚𝗛𝗣𝗨𝗧 𝗠𝗜𝗖𝗥𝗢𝗦𝗖𝗢𝗣𝗬 𝗣𝗟𝗔𝗡𝗧 𝗣𝗛𝗘𝗡𝗢𝗧𝗬𝗣𝗜𝗡𝗚 𝗜𝗡 𝗢𝗡𝗘 𝗦𝗟𝗜𝗗𝗘! 🔬
Here is a panoramic vision of where MIAtecs can take your plant phenotyping projects, from entire seedlings to the sub-cellular scale using microscopy through HTMPP!
#Plant #Microscopy #PlantPhenotyping #PlantPhysiology
Quantification of the Cumulative Shading Capacity in a #Maize – #Soybean Intercropping System Using an #UAV
by Min Li, Pengcheng Hu, Di He, Bangyou Zheng, Yan Guo, Yushan Wu, and Tao Duan
doi.org/10.34133/pla... #PlantPhenotyping via
@plantphenomics.bsky.social #PlantScience
We used few-shot learning & CNNs to analyze 2,906 Populus trichocarpa leaf images, extracting traits without preprocessing. This method requires minimal training data. Code & data are publicly available. #PlantPhenotyping #MachineLearning
Details: spj.science.org/doi/10.34133/p…
We used few-shot learning & CNNs to analyze 2,906 Populus trichocarpa leaf images, extracting traits without preprocessing. This method requires minimal training data. Code & data are publicly available. #PlantPhenotyping #MachineLearning
Details: spj.science.org/doi/10.34133/p…
North American Plant Phenotyping Network (NAPPN) logo
Register now for the virtual #NAPPN2025 conference and in-person MSU Hub on Feb 25–27! This event is a fantastic opportunity to engage with the MSU #PlantPhenotyping community!
NAPPN Conference Registration: www.plantphenotyping.org/virtual-regi...
MSU Hub Registration: tinyurl.com/MSU-NAPPN2025
Quantification of the Cumulative Shading Capacity in a #Maize – #Soybean Intercropping System Using an #UAV
by Min Li, Pengcheng Hu, Di He, Bangyou Zheng, Yan Guo, Yushan Wu, and Tao Duan
https://buff.ly/3ATlQRb #PlantPhenotyping via @plantphenomics.bsky.social #PlantScience
Lyra:
Harnessing hyperspectral imaging and Mueller matrix data, our research decouples leaf surface and tissue light, boosting crop health monitoring and breeding efficiency. #AgriculturalTech #PlantPhenotyping
Details: spj.science.org/doi/10.34133/p…
Accelerating crop breeding with high-throughput phenotyping. Our study introduces a novel 3D multispectral point cloud method, overcoming challenges in plant structure and lighting. #PlantPhenotyping #AgricultureTech
Details: spj.science.org/doi/10.34133...
Unveiling our high-throughput leaf counting method: 🌱 We've developed a self-supervised deep learning model using RGB images to accurately count leaves. Tested across 5 countries, it adapts to various environments. #PlantPhenotyping
Details: spj.science.org/doi/10.34133...
Submit your cutting-edge plant phenotyping research to the TPPJ's IPPS8 special issue! 🌱🔬
Spontaneous submissions are also welcome!
Submit your manuscript by January 1st, 2025
More information: acsess.onlinelibrary.wiley.com/journal/2578...
#plantphenotyping #IPPS8 #TPPJ
Update of our Automated #Rhizotron experiment: we just harvested the shoots for our #wheat #RIL population screen. A collaboration with #UniBologna. Stay tuned for insights into the #Root harvest next week
@fz-juelich.de 🧪 #PlantPhenotyping
#PlantScience
#WishRoots #EJPSoil
RT @PPhenomics: We enhance spike detection in grain crops with an adapted Faster-RCNN featuring global attention, improving accuracy over conventional models. #GrainSpikeDetection #DeepLearning #PlantPhenotyping
Details:
RT @PPhenomics: We enhance spike detection in grain crops with an adapted Faster-RCNN featuring global attention, improving accuracy over conventional models. #GrainSpikeDetection #DeepLearning #PlantPhenotyping
Details: https://buff.ly/3SWoPhw
