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Automated Maize Ear Phenotyping Using 3D Reconstructions
Ritwesh A. Kumar, Som Tripathi, Peja Matthews +5
Maize kernel traits such as row number, kernels per row, and kernel size vary largely for genetic reasons and are consistently associated with regions of the genome that influence…
AI-enabled Low-Cost 3D Maize Ear Morphometry Platform at Breeding Scale
Therin Young, Elijah Rodriguez, Lisa Coffey +4
Maize ear geometry (length, width, curvature, and volume) is closely tied to yield and grain-filling outcomes, but existing high-throughput phenotyping pipelines remain constrained…
HS-3D-NeRF: 3D Surface and Hyperspectral Reconstruction From Stationary Hyperspectral Images Using Multi-Channel NeRFs
Kibon Ku, Talukder Z. Jubery, Adarsh Krishnamurthy +1
Advances in hyperspectral imaging (HSI) and 3D reconstruction have enabled accurate, high-throughput characterization of agricultural produce quality and plant phenotypes, both ess…
FloraForge: LLM-Assisted Procedural Generation of Editable and Analysis-Ready 3D Plant Geometric Models For Agricultural Applications
Mozhgan Hadadi, Talukder Z. Jubery, Patrick S. Schnable +4
Accurate 3D plant models are crucial for computational phenotyping and physics-based simulation; however, current approaches face significant limitations. Learning-based reconstruc…
Crossmodal learning for Crop Canopy Trait Estimation
Timilehin T. Ayanlade, Anirudha Powadi, Talukder Z. Jubery +2
Recent advances in plant phenotyping have driven widespread adoption of multi sensor platforms for collecting crop canopy reflectance data. This includes the collection of heteroge…
TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models
Shivani Chiranjeevi, Hossein Zaremehrjerdi, Zi K. Deng +9
The rapid global loss of biodiversity, particularly among insects, represents an urgent ecological crisis. Current methods for insect species discovery are manual, slow, and severe…