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20172026
most citedDeep learning powered real-time identification of insects using citizen science data

11 citations · 24 across the 19 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

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,…

cs.LG2024★ 1 cited

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…

cs.LG2024★ 3 cited

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…

cs.CV2024

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…

cs.LG2024

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…

cs.CV2024★ 4 cited

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…