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Plant Phenomics @plantphenomics.bsky.social · 25/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 25/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 25/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 22/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 17/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 17/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 16/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 10/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 10/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 10/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 09/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 09/09/2026

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.pl...

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Plant Phenomics @plantphenomics.bsky.social · 08/09/2026

Deep learning advances 3D plant phenomics: point cloud analysis, segmentation, and generative AI tackle dimensionality challenges, unlocking new dimensions in plant science. #PlantPhenomics #DeepLearning #3DVision Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 08/09/2026

UAV remote sensing plus deep learning enables high-throughput cotton defoliation phenotyping, identifying gene GhDR_UAV1 for breeding defoliation-prone varieties. #CottonBreeding #UAVPhenotyping #DeepLearning Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 08/09/2026

Edge CV: Jetson Nano-based on-site assessment of Aspergillus flavus in crop seeds, matching manual accuracy with superior consistency and transferability to maize and rice. #EdgeComputing #ComputerVision #PlantPathology Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 07/09/2026

IPENS leverages SAM2 and radiance fields for interactive unsupervised 3D point cloud extraction of rice and wheat grains, achieving mIoU up to 89.68% without manual annotation. #PlantPhenotyping #3DVision #AgTech Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 07/09/2026

LPCNet combines CNN, BiLSTM, and MHSA with hyperspectral imaging for non-destructive lettuce pigment detection, achieving R² up to 0.9449 while enabling cross-scale spatial mapping. #PrecisionAgriculture #HyperspectralImaging Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 07/09/2026

LenRuler automates radicle length measurement using SAM segmentation and geodesic distance calculation. Achieves 0.273mm MAE on rice with strong cross-species applicability. #SeedScience #ComputerVision #AgTech Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 04/09/2026

LViM fuses Mamba and Transformer via dual-path U-Net with language infusion, boosting apple leaf disease segmentation by 4.25% Dice and 4.49% mIoU in complex orchards. #LViM #PlantDisease #AgriTech Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 04/09/2026

PhenoRob-P delivers autonomous high-throughput phenotyping for potted crops with 520 pots/h scanning and 87% positioning accuracy within ±30mm, enabling traceable stress monitoring and 3D reconstruction in GNSS-denied greenhouses. #Phenotyping Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 03/09/2026

High-throughput load-cell phenotyping identifies novel QTL qDTrs_Gm04 and candidate gene GmWRKY58 for slow-wilting, advancing drought-tolerant soybean breeding. #PlantPhenotyping #DroughtTolerance #QTL Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 03/09/2026

3D RTM simulations reveal maize canopy penetration depth varies by growth stage and density, with NIR most sensitive—advancing multilayer crop monitoring for precision agriculture. #RemoteSensing #PrecisionAgriculture #CropModeling Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 03/09/2026

CoF-CC uses dual UAVs and a ColorChecker for in-flight color correction, cutting ΔE by 66.1% and boosting rice maturity prediction R² from 0.28 to 0.67. #RemoteSensing #UAV #PrecisionAgriculture Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 01/09/2026

RiceSEG: The first large-scale multiclass rice segmentation dataset spanning 5 countries & 6,000+ genotypes. A vital resource for AI-driven crop phenotyping. 🌾 #RicePhenotyping #AgriculturalAI #OpenDataset Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 01/09/2026

KDOSS-Net: AI sees beyond the camera frame to detect hidden weeds, cutting herbicide waste. Lightweight enough for farm robots. 🌾 #SmartFarming #WeedDetection #AgTech Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 01/09/2026

TM-WSNet: A hybrid Transformer-Mamba network for precise rubber tree segmentation in plantations. Boosts yield estimation & health monitoring accuracy. 🌳 #PrecisionAgriculture #DeepLearning #RubberTree Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 31/08/2026

We introduce PhenoTrait, a multimodal plant disease diagnosis model that outperforms GPT-4o by aligning images with expert text. Code & data public. #PlantDisease #MultimodalAI #OpenScience Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 31/08/2026

Training set diversity, not just size, drives generalization in deep learning plant detection. Our canola dataset & Canola Counter are now public. #DeepLearning #PrecisionAgriculture #Canola Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 27/08/2026

PI-LSTM combines crop simulation with satellite data for regional rice N diagnosis, cutting fertilizer use 13.4% while boosting yield. #PrecisionAgriculture #SustainableFarming Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 27/08/2026

Smartphone + BN-NeRF reconstructs 3D banana plants with precise phenotyping, outperforming costly LiDAR. Validated on 90 real-world plants. #3DReconstruction #PrecisionAgriculture Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 27/08/2026

BN-NeRF reconstructs banana plants in 3D from smartphone photos, enabling precise phenotyping without expensive LiDAR. Validated in real orchards. #3DReconstruction #PrecisionAgriculture Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 26/08/2026

New study phenotypes 467 sorghum and pearl millet lines for transpiration response to ETref across three field platforms. ETref outperforms VPD; linear slopes capture genetic variation with high heritability. #DroughtTolerance Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 26/08/2026

New 3D laser pipeline segments wheat point clouds with 93%+ accuracy, extracting novel lodging traits and linking them to GWAS genes. #3DPhenotyping #WheatGenetics #PlantScience Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 26/08/2026

New hybrid genomic selection method captures gene-gene and gene-environment interactions. 0.93 accuracy for barley flowering time. Try our web interface! #GenomicSelection #HaplotypeBreeding #CropScience Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 24/08/2026

Panicle-ViT automates UAV rice imagery analysis for precise plot segmentation and high-throughput panicle counting, outperforming Mask R-CNN to accelerate high-yield rice breeding. #RiceBreeding #PlantPhenomics #UAV Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 24/08/2026

Drone laser scanning reveals loblolly pine crown directionality tracks solar radiation and genotype, with southern light-foraging boosting stem volume. #RemoteSensing #ForestGenetics #Phenomics Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 24/08/2026

MSANet enables precise soybean seed counting and localization with deep learning, outperforming prior methods and revealing vertical seed distribution to accelerate breeding. #PlantPhenomics #SoybeanBreeding #AI Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 21/08/2026

Two-mode 3D rice canopy modeling: Precision Mode for detail, Rapid Mode using XGBoost for scalability. Validated with 99.65% spectral accuracy! #UAVRemoteSensing #RicePhenotyping #RadiativeTransfer Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 21/08/2026

Hyperspectral imaging detects drought stress in lettuce at day 4 with 97% accuracy—linking spectral signatures to molecular ABA & osmotic responses for space farming. #SpaceAgriculture #HyperspectralImaging #PlantStress Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 21/08/2026

Optimizing leaf area-to-fruit ratio for premium pears! Our study pinpoints precise LAFR values at 5 growth stages using clustering analysis. #PearFarming #FruitQuality #PrecisionHorticulture Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 21/08/2026

Meet MLG-YOLO: a lightweight AI model for winter jujube detection & 3D localization in orchards. 92.70% mAP, only 2.52 MB! #AgriTech #Robotics #ComputerVision Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 21/08/2026

AI meets agriculture! Our new GSP-AI model predicts wheat growth stages & flowering with 93.4% accuracy using drone imagery & climate data. #PrecisionAgriculture #WheatResearch #DeepLearning Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 18/08/2026

We built a 3D point cloud + machine learning framework to estimate leaf number and optimize fruit load in pear orchards—improving fruit size without sacrificing yield. #PrecisionHorticulture #PearProduction #MachineLearning Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 18/08/2026

FQGR-Net: a three-branch neural network that classifies and counts male & female litchi flowers in real time—boosting fruit set and yield potential. #Flowergender #Deeplearning #Phenotyping Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 18/08/2026

ChatLeafDisease: Training-free LLM framework achieves 88.9% accuracy on crop disease classification using GPT-4o + chain-of-thought prompting, outperforming baselines without any training data. #AI #AgTech #FoodSecurity Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 18/08/2026

Diffusion-augmented Amodal Mask2Former achieves 85.92% precision for occluded melon size estimation, outperforming CNNs with <5.5mm error across 0-70% occlusion levels. #PlantPhenotyping #ComputerVision #AgTech Details: doi.org/10.1016/j.pl...

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Plant Phenomics @plantphenomics.bsky.social · 14/08/2026

WOFOST crop model enhanced by TPAI methods incorporating silique photosynthesis significantly improves rape yield estimation accuracy by up to 49.86% for above-ground biomass in southern Hunan. #CropModeling #Rapeseed #YieldEstimation Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 14/08/2026

SN-MGGE network achieves 94.90% mIoU on cucumber seedling point cloud segmentation, mining geometric features in Euclidean & hyperbolic spaces for precise plant phenotyping. #PlantPhenotyping #PointCloud #DeepLearning #Cucumber Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 14/08/2026

Confident & reactive learning boost AI-driven alfalfa root image classification accuracy up to 13%, tackling label noise in root system architecture phenotyping. #RootPhenotyping #PlantBreeding #AI #LabelNoise #Alfalfa Details: doi.org/10.34133/pla...

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Plant Phenomics @plantphenomics.bsky.social · 07/08/2026

Meet Speakerphone: a deep learning pipeline delivering high-precision wheat spike segmentation and phenotypic profiling to map yield traits and accelerate crop breeding. #AgTech #AI Details: doi.org/10.1016/j.pl...

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