11 citations · 24 across the 19 of their papers we have counts for
22 papers
A Vision-Language Model (VLM)-based Pipeline for End-to-End Procedural Modeling of Field-Grown Maize from Point Clouds
Mozhgan Hadadi, Talukder Z. Jubery, Adarsh Krishnamurthy +1
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 segmenta…
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…
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…
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…
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…
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…
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…
Soybean Maturity Prediction using 2D Contour Plots from Drone based Time Series Imagery
Bitgoeul Kim, Samuel W. Blair, Talukder Z. Jubery +4
Plant breeding programs require assessments of days to maturity for accurate selection and placement of entries in appropriate tests. In the early stages of the breeding pipeline,…
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder
Anirudha Powadi, Talukder Zaki Jubery, Michael C. Tross +2
This study introduces a compositional autoencoder (CAE) framework designed to disentangle the complex interplay between genotypic and environmental factors in high-dimensional phen…
Leveraging Vision Language Models for Specialized Agricultural Tasks
Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy +8
As Vision Language Models (VLMs) become increasingly accessible to farmers and agricultural experts, there is a growing need to evaluate their potential in specialized tasks. We pr…
Class-specific Data Augmentation for Plant Stress Classification
Nasla Saleem, Aditya Balu, Talukder Zaki Jubery +4
Data augmentation is a powerful tool for improving deep learning-based image classifiers for plant stress identification and classification. However, selecting an effective set of…
Multi-Sensor and Multi-temporal High-Throughput Phenotyping for Monitoring and Early Detection of Water-Limiting Stress in Soybean
Sarah E. Jones, Timilehin Ayanlade, Benjamin Fallen +5
Soybean production is susceptible to biotic and abiotic stresses, exacerbated by extreme weather events. Water limiting stress, i.e. drought, emerges as a significant risk for soyb…
Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions
Muhammad Arbab Arshad, Talukder Jubery, James Afful +5
We evaluate different Neural Radiance Fields (NeRFs) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional meth…
Deep learning powered real-time identification of insects using citizen science data
Shivani Chiranjeevi, Mojdeh Sadaati, Zi K Deng +10
Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects an…
Out-of-distribution detection algorithms for robust insect classification
Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi +5
Deep learning-based approaches have produced models with good insect classification accuracy; Most of these models are conducive for application in controlled environmental conditi…
Stochastic Conservative Contextual Linear Bandits
Jiabin Lin, Xian Yeow Lee, Talukder Jubery +3
Many physical systems have underlying safety considerations that require that the strategy deployed ensures the satisfaction of a set of constraints. Further, often we have only pa…
How useful is Active Learning for Image-based Plant Phenotyping?
Koushik Nagasubramanian, Talukder Z. Jubery, Fateme Fotouhi Ardakani +5
Deep learning models have been successfully deployed for a diverse array of image-based plant phenotyping applications including disease detection and classification. However, succ…
Integrating optimization with thermodynamics and plant physiology for crop ideotype design
Talukder Z. Jubery, Baskar Ganapathysubramanian, Matthew E. Gilbert +1
A computational framework integrating optimization algorithms, parallel computing and plant physiology was developed to explore crop ideotype design. The backbone of the framework…