Shouyang Liu

Monitoring green fraction (GF) is crucial for breeders. Our self-supervised strategy enhances segmentation accuracy for rice and wheat. #CropScience #MachineLearning Details: spj.science.org/doi/10.34133/p…

Revolutionizing plant growth analysis: Our self-supervised leaf tip detection method, trained on diverse datasets, offers precise results across environments. Check out our code for enhanced phenotyping! #PlantScience #DeepLearning Details:spj.science.org/doi/10.34133/p…

Developed a high-throughput method for leaf counting in plants using deep learning and domain adaptation. Achieved 94% accuracy with Faster-RCNN model. Self-supervised approach. Code:github.com/YinglunLi/Whea… Details:spj.science.org/doi/10.34133/p…

Self-supervised deep phenotyping with 3D plant model No human annotation, only a simulated dataset model: github.com/PheniX-Lab/sim… #D3P #fspm

#INRAEdanslesmedias Dans @ElementTerre  « Sécheresse : l'eau au compte-gouttes » @MartrePierre chercheur #INRAE mène des études avec robots & capteurs s/ des variétés de blé, maïs et vigne adaptées aux futures conditions climatiques 🌾🌽🍇 Replay (à 9mn) url.inrae.fr/3peOIxI

DEADLINE APPROACHING: Plant Phenomics is accepting submissions for a special issue titled Plant Functional Phenotyping. Click the link to learn more spj.sciencemag.org/plant-phenomic…

#Plant #Phenomics has received its inaugural Journal Impact Factor, 6.961 from Clarivate, 2022. Thanks to all authors, reviewers and editors of articles that were published in our journal to make this score! Looking forward to more excellent articles published in PP! #JCR2021

#workshop CAPTE : Fred Baret, Benoit de Solan and Alexis Comar welcome the participant’s . The afternoon session has started with the keynote talk from T. Pridmore: recovering root structural traits via #DeepMachineLearning. @INRAE_PACA @UnivAvignon @INRAE_France

[#Postdoctoral position] in #phenotyping/Close Range sensing/Artificial Intelligence jobs.inrae.fr/en/ot-14802 #postdoc #postdocposition #science @INRAE_PACA @UnivAvignon @INRAE_France

Photosynthesis (A) is widely considered as a trait yet to be exploited for improving crop yield. But which aspects of A matter most? What else should be co-selected so that the benefit from improved A is maximal? Our review @JXBot addresses these questions doi.org/10.1093/jxb/er…

#Callforpapers Plant Phenomics is now accepting submissions for a special issue titled Plant Functional Phenotyping. Guest Editors: Drs. Chunjiang Zhao, Yanfeng Ding, @MartrePierre, @ShouyangLiu thanks @INRAE_France for the nice picture. Learn more at spj.sciencemag.org/plant-phenomic…

#jobalert ! 2-yr postdoc @UMR_LEPSE starting Jan-April, 2022. Exploring phenotypic space to mine genotypes and alleles for crop improvement: coll. with a multidisciplinary team, #maize as a model, and #phenotyping platforms #datasets. tinyurl.com/4adh9vxk PLEASE RT

@jordanubbens 🤔🤔why?

Happy to present our work "Sensitivities to temperature and evaporative demand in wheat relatives" with @UMR_LEPSE in @JXBot doi.org/10.1093/jxb/er…

@PPhenomics is now accepting submissions for its special issue titled Advances in Proximal Sensing and Image Analysis for Time-Series Phenotyping. Click the link to learn more on how to submit your original research for publication consideration. spj.sciencemag.org/plant.../time-…

Some days ago @NewPhyt tweeted a Tansley review (nph.onlinelibrary.wiley.com/doi/10.1111/np…) on improving vegetation & land-surface models. Here is a Loomis review in Field Crops Res on improving crop models (sciencedirect.com/science/articl…). Good to see, both reviews stress model simplicity, and more...

I will be defending my PhD tomorrow at 14h CET ! Feel free to join @ bit.ly/3xjG9jI to learn about using #DeepLearning for #cereal field #phenotyping using #drones and #IOTA @CAPTE_team

Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution deepai.org/publication/es… by @kaaviyaVe et al. #GenerativeAdversarialNetwork #ComputerVision

Our CfP is now up, for full and one-page extended abstracts on the topic of Computer Vision in Plant Phenotyping and Agriculture. Dates: submit: July 16 notification: August 6 camera-ready: August 17 Workshop: TBD w/ ICCV in Oct 2021. cvppa2021.github.io/cfp/