activity
20232026
most citedLeveraging Vision Language Models for Specialized Agricultural Tasks

3 citations · 12 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

7 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.CV2024

Robust soybean seed yield estimation using high-throughput ground robot videos

Jiale Feng, Samuel W. Blair, Timilehin Ayanlade +5

We present a novel method for soybean (Glycine max (L.) Merr.) yield estimation leveraging high throughput seed counting via computer vision and deep learning techniques. Tradition…

cs.AI2024★ 2 cited

AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning

Mahsa Khosravi, Matthew Carroll, Kai Liang Tan +8

Agricultural production requires careful management of inputs such as fungicides, insecticides, and herbicides to ensure a successful crop that is high-yielding, profitable, and of…

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.CV2024★ 2 cited

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

Chih-Hsuan Yang, Benjamin Feuer, Zaki Jubery +12

We introduce BioTrove, the largest publicly accessible dataset designed to advance AI applications in biodiversity. Curated from the iNaturalist platform and vetted to include only…

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…