activity
20162026
most citedDeep learning powered real-time identification of insects using citizen science data

11 citations · 31 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

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…