Document Type
Dataset
Source Publication Title
CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting
DOI
https://doi.org/10.32855/dataset.2026.02.044
Production/Collection Date
2024
Production/Collection Location
College Station, TX, USA
Depositor
William J. Beksi
Deposit Date
2-7-2026
Data Type
Image
Abstract
3DCotton is an image dataset consisting of 8 cotton plants recorded at the Texas A&M University Research Farm. The images were captured using an Apple iPhone at a resolution of 1040x1920 pixels. Approximately 150 images per plant were taken from a distance of 1 m by recording multiple viewpoints. These images can be utilized for developing 3D reconstruction methods.
Disciplines
Agriculture | Artificial Intelligence and Robotics
Publication Date
6-1-2026
Language
English
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
@data{mavmatrix/dataset.2026.02.044, title={{3DCotton}}, author={Al Muzaddid, Md Ahmed and Beksi, William J}, publisher={MavMatrix}, version={V1}, url={https://doi.org/10.32855/dataset.2026.02.044}, doi={10.32855/dataset.2026.02.044}, year={2026}}
Comments
Project website: https://robotic-vision-lab.github.io/cropnerf