2 citations · 4 across the 3 of their papers we have counts for
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cs.CV2025
Are vision-language models ready to zero-shot replace supervised classification models in agriculture?
Earl Ranario, Mason J. Earles
Vision-language models (VLMs) are increasingly proposed as general-purpose solutions for visual recognition tasks, yet their reliability for agricultural decision support remains p…
cs.CV2022★ 2 cited
Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Models
Amogh Joshi, Dario Guevara, Mason Earles
In recent years, deep learning models have become the standard for agricultural computer vision. Such models are typically fine-tuned to agricultural tasks using model weights that…
cs.CV2021★ 2 cited
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Pranav Raja, Alex Olenskyj, Hamid Kamangir +1
Trait measurement is critical for the plant breeding and agricultural production pipeline. Typically, a suite of plant traits is measured using laborious manual measurements and th…