Drone-based deep learning pipeline quantifies dry bean maturity, stand count, and height, outperforming manual methods with RGB imagery and open-source tools. #PlantPhenotyping #DeepLearning #PrecisionAg
Details: doi.org/10.34133/pla...

The IPPN Quarterly Newsletter Issue 3/2026 is now available.

This edition features updates on the upcoming IPPS9 in Accra, recent plant phenotyping research spotlights.

Read the full issue here: mailchi.mp/f5a76a848f32...

#PlantPhenotyping #PlantPhenomics #IPPN #IPPS9

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...

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...

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...

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...

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...