Plant Phenomics@PPhenomics

Plant Phenomics, indexed in: #DOAJ #EI #PMC #SCIE (#JIF 2026: 8.2) #Scopus (#CiteScore2026: 10.6) etc. #PlantPhenomics #PlantPhenotyping #openaccess

sciencedirect.com/journal/pl…
Joined September 2018
2,182 Photos and videos
Automated UAS-SAM-CNN pipeline for peanut phenotyping: canopy height, growth habit, mainstem prominence. QTL validated. Scalable, minimal manual effort. #UASPhenotyping #PlantBreeding #DeepLearning Details: doi.org/10.1016/j.plaphe.202…
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PlantIF: multimodal graph learning for plant disease diagnosis. Fuses image-text features via semantic encoders and self-attention GCN. 96.95% accuracy on 205K images. #PlantDisease #MultimodalLearning #PrecisionAgriculture Details: doi.org/10.1016/j.plaphe.202…
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CornPheno enables in-the-wild corn ear phenotyping via smartphone. CornPET and unicorn detect kernels and rows accurately. Open-access via OpenPheno mini-program. #CornBreeding #Phenotyping #AgriTech Details: doi.org/10.1016/j.plaphe.202…
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Combining LiDAR data with Bayesian spatial modeling and tree competition indices boosts forest biomass estimation accuracy in complex secondary forests. #RemoteSensing #LiDAR #Forestry Details: doi.org/10.1016/j.plaphe.202…
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New spectroscopy and ensemble learning methods accurately map leaf nitrogen, phosphorus, and potassium across wetland plants, advancing large-scale vegetation health monitoring. #RemoteSensing #PrecisionAg #PlantScience Details: doi.org/10.1016/j.plaphe.202…
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Hyperspectral imaging and machine learning show strong promise for detecting potato cyst nematodes, helping farmers differentiate biotic pest damage from drought stress. #AgTech #PrecisionAg #PlantHealth Details: doi.org/10.1016/j.plaphe.202…
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Plant Phenomics retweeted
Plant Physiology@PlantPhys
Sep 17
Far-red perception by vegetative organs and not fruits drives fruit growth responses in tomato plants (Elena Vincenzi , Lisa Oskam , Mohan Lu , Ronald Pierik , Esther de Beer , Frank Millenaar , Leo F M Marcelis , Ep Heuvelink) doi.org/10.1093/plphys/kiag3… @ASPB #PlantSci
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New panomiX toolbox integrates multi-omics with phenotyping via machine learning, linking genes, metabolites, and traits. #panomiX #PlantScience #MachineLearning Details: doi.org/10.1016/j.plaphe.202…
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New NDAVI uses UAV spectra to accurately estimate rice green fAPAR across growth stages, reducing senescence-induced error for robust yield monitoring under varied nitrogen and cultivar architectures. #NDAVI #RiceMonitoring #UAV Details: doi.org/10.1016/j.plaphe.202…
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DeepSpecN estimates maize leaf nitrogen from hyperspectral data without field training samples, using wavelets, PROSPECT simulation, and transformers. #DeepSpecN #CropScience #PrecisionAg Details: doi.org/10.1016/j.plaphe.202…
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3DPotatoTwin bridges RGB-D throughput and SfM quality with 339 aligned tuber samples and semi-supervised registration for robust 3D phenotyping! 🥔 #3DPhenotyping #PrecisionAgriculture #OpenDataset Details: doi.org/10.1016/j.plaphe.202…
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Plant Phenomics retweeted
Plant Physiology@PlantPhys
Sep 16
The GIGANTEA–LHY complex regulates citrus cold tolerance and participates in low-temperature-induced flowering (Tian-Liang Zhang , Min Chen , Zhong-Xiang Ma , et al) doi.org/10.1093/plphys/kiag3… @ASPB #PlantSci
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RGB-based high-throughput phenotyping effectively distinguishes biotic/abiotic stress and resistant tomato genotypes, boosting precision farming! 🍅 #PlantPhenotyping #PrecisionAgriculture #Tomato Details: doi.org/10.1016/j.plaphe.202…
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SuperPoint + LightGlue powers robust 3D rice seedling reconstruction under light stress—high accuracy, low cost, precision agriculture ready! 🌱 #PlantPhenotyping #PrecisionAgriculture #3DReconstruction Details: doi.org/10.1016/j.plaphe.202…
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SegPPD-FS enables few-shot segmentation of plant pests and diseases with minimal annotations, plus a new public dataset with 101 categories for plant health monitoring. #PlantHealth #FewShotLearning #AgriculturalAI Details: doi.org/10.1016/j.plaphe.202…
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New binocular multispectral stereo imaging system achieves pixel-level 3D-spectral alignment for 4D plant phenotyping and chlorophyll mapping. #PlantPhenotyping #MultispectralImaging #PrecisionAgriculture Details: doi.org/10.1016/j.plaphe.202…
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New automatic pipeline generates leaf instance segmentation datasets using zero-shot models and L-systems—no manual annotation needed! GUI included. #PlantPhenotyping #InstanceSegmentation #ZeroShotLearning Details: doi.org/10.1016/j.plaphe.202…
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Hyperspectral imaging with PLS models rapidly predicts almond nutritional components, enabling high-throughput phenotyping of 528 genotypes and revealing high heritability for breeding selection. #AlmondBreeding #HyperspectralPhenotyping Details: doi.org/10.1016/j.plaphe.202…
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UAV hyperspectral imaging combined with GWAS identifies 31 marker-trait associations and pleiotropic loci controlling wheat yield components, revealing genes linked to photosynthesis and stress response. #HyperspectralPhenotyping #GWAS Details: doi.org/10.1016/j.plaphe.202…
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SE-CSRNet with attention mechanisms automatically counts petals in dense chrysanthemum inflorescences via density maps, achieving R²=0.967 accuracy and detecting heat stress effects. #PlantPhenotyping #DeepLearning #Chrysanthemum Details: doi.org/10.1016/j.plaphe.202…
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