Editable 3D models of field-grown crops support high-throughput phenotyping and in silico breeding trials, but building them from scanned point clouds requires organ-level segmentation and fitting. Procedural generators can turn an organ-level parameter set into an analysis-suitable 3D model, but obtaining that set req...
Mozhgan Hadadi, T. Jubery, A. Krishnamurthy et al.· 0 citations
Computational Fluid Dynamics (CFD) is widely used to evaluate ventilation and contaminant transport in occupied buildings, but deployment at scale is limited by three bottlenecks: acquiring room geometry without costly scanning hardware or manual CAD modeling, decomposing the scene into individually manipulable objects...
Dhruv Gamdha, James Afful, Shambhavi Joshi et al.· 0 citations
This study provides the most comprehensive genomic dissection of seed size and weight traits in mungbean to date, providing candidate loci and genomic prediction models that can accelerate genetic improvement for seed yield and quality.
Venkata Naresh Boddepalli, T. Jubery, Steven B. Cannon et al.· The Plant Genome· 0 citations
A probabilistic neural emulator of APSIM is developed that reproduces key maize growth processes across 13 outputs with high fidelity while reducing simulation time while demonstrating how uncertainty aware emulation transforms mechanistic crop simulation from a computational bottleneck into an on demand discovery engi...
M. Saadati, Juan S. Panelo, G. Visentini et al.· 0 citations
The Galerkin finite element formulation of the incompressible Navier-Stokes equations presents two principal challenges: maintaining stable velocity-pressure coupling and controlling instability in advection-dominated regimes. Moreover, the monolithic formulation produces a coupled nonlinear saddle-point problem. In th...
Biswajit Khara, Suresh Murugaiyan, Makrand A. Khanwale et al.· 0 citations
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