226 citations · 733 across the 101 of their papers we have counts for
22 papers · 1 filter
Towards smart canopies: Algorithmic design of maize canopy architectures that maximize light use efficiency
Nasla Saleem, Talukder Zaki Jubery, Yan Zhou +4
We present a computational framework that integrates functional-structural plant modeling (FSPM) with an evolutionary algorithm to optimize three-dimensional maize canopy architect…
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…
Predicting Time-Dependent Flow Over Complex Geometries Using Operator Networks
Ali Rabeh, Suresh Murugaiyan, Adarsh Krishnamurthy +1
Fast, geometry-generalizing surrogates for unsteady flow remain challenging. We present a time-dependent, geometry-aware Deep Operator Network that predicts velocity fields for mod…
A Semi-Implicit Variational Multiscale Formulation for the Incompressible Navier-Stokes Equations via Exact Adjoint Linearization
Biswajit Khara, Suresh Murugaiyan, Suriya Dhakshinamoorthy +3
A semi-implicit, residual-based variational multiscale (VMS) formulation is developed for the incompressible Navier-Stokes equations. The convection term is linearized using an ext…
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…
InSpecLearn4SDL: Interpretable Spectral Features Predict Conductivity in Self-Driving Doped Conjugated Polymer Labs
Ankush Kumar Mishra, Jacob P. Mauthe, Nicholas Luke +2
To accelerate materials discovery using self-driving labs (SDLs), we present a machine learning pipeline that predicts the electrical conductivity of doped conjugated polymers usin…
Mechanics Simulation with Implicit Neural Representations of Complex Geometries
Samundra Karki, Ming-Chen Hsu, Adarsh Krishnamurthy +1
Implicit Neural Representations (INRs), characterized by neural network-encoded signed distance fields, provide a powerful means to represent complex geometries continuously and ef…
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…
Towards Large Reasoning Models for Agriculture
Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin +17
Agricultural decision-making involves complex, context-specific reasoning, where choices about crops, practices, and interventions depend heavily on geographic, climatic, and econo…
WeedNet: A Foundation Model-Based Global-to-Local AI Approach for Real-Time Weed Species Identification and Classification
Yanben Shen, Timilehin T. Ayanlade, Venkata Naresh Boddepalli +13
Early weed identification is crucial for effective management and control, and researchers, agronomists, and technology developers are increasingly interested in automating this pr…
SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications
Kibon Ku, Talukder Z Jubery, Elijah Rodriguez +4
This paper presents a NeRF-based framework for point cloud (PCD) reconstruction, specifically designed for indoor high-throughput plant phenotyping facilities. Traditional NeRF-bas…
3D Neural Operator-Based Flow Surrogates around 3D geometries: Signed Distance Functions and Derivative Constraints
Ali Rabeh, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
Accurate modeling of fluid dynamics around complex geometries is critical for applications such as aerodynamic optimization and biomedical device design. While advancements in nume…
3D Multiphase Heterogeneous Microstructure Generation Using Conditional Latent Diffusion Models
Nirmal Baishnab, Ethan Herron, Aditya Balu +3
The ability to generate 3D multiphase microstructures on-demand with targeted attributes can greatly accelerate the design of advanced materials. Here, we present a conditional lat…
Accessing the Effect of Phyllotaxy and Planting Density on Light Use Efficiency in Field-Grown Maize using 3D Reconstructions
Nasla Saleem, Talukder Zaki Jubery, Aditya Balu +5
High-density planting is a widely adopted strategy to enhance maize productivity, yet it introduces challenges such as increased interplant competition and shading, which can limit…
Direct Flow Simulations with Implicit Neural Representation of Complex Geometry
Samundra Karki, Mehdi Shadkah, Cheng-Hau Yang +4
Implicit neural representations have emerged as a powerful approach for encoding complex geometries as continuous functions. These implicit models are widely used in computer visio…
MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity Panel
Elvis Kimara, Mozhgan Hadadi, Jackson Godbersen +6
The development of artificial intelligence (AI) and machine learning (ML) based tools for 3D phenotyping, especially for maize, has been limited due to the lack of large and divers…
MaizeEar-SAM: Zero-Shot Maize Ear Phenotyping
Hossein Zaremehrjerdi, Lisa Coffey, Talukder Jubery +6
Quantifying the variation in yield component traits of maize (Zea mays L.), which together determine the overall productivity of this globally important crop, plays a critical role…
A Shifted Boundary Method for Thermal Flows
Cheng-Hau Yang, Guglielmo Scovazzi, Adarsh Krishnamurthy +1
This paper presents an incomplete Octree mesh implementation of the Shifted Boundary Method (Octree-SBM) for multiphysics simulations of coupled flow and heat transfer. Specificall…
MPFBench: A Large Scale Dataset for SciML of Multi-Phase-Flows: Droplet and Bubble Dynamics
Mehdi Shadkhah, Ronak Tali, Ali Rabeh +7
Multiphase fluid dynamics, such as falling droplets and rising bubbles, are critical to many industrial applications. However, simulating these phenomena efficiently is challenging…
Procedural Generation of 3D Maize Plant Architecture from LIDAR Data
Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen +8
This study introduces a robust framework for generating procedural 3D models of maize (Zea mays) plants from LiDAR point cloud data, offering a scalable alternative to traditional…
STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology
Anushrut Jignasu, Ethan Herron, Zhanhong Jiang +5
We present STITCH, a novel approach for neural implicit surface reconstruction of a sparse and irregularly spaced point cloud while enforcing topological constraints (such as havin…
Geometry Matters: Benchmarking Scientific ML Approaches for Flow Prediction around Complex Geometries
Ali Rabeh, Ethan Herron, Aditya Balu +4
Rapid and accurate simulations of fluid dynamics around complicated geometric bodies are critical in a variety of engineering and scientific applications, including aerodynamics an…