AutomatoHarvest Computer Vision Project
Updated 9 months ago
28
2
Innovative solutions are required for modern agriculture because of issues including an aging work force and a shrinking number of farmers. By utilizing robots and digital technology, smart agriculture employs automation and real-time monitoring to tackle these problems. Expert farmers, however, emphasize the need for improved automation by taking into account elements other than picture analysis. Robotic technology can automate processes, especially in tomato-related industries like tomato ketchup production, to fulfill the expectations of modern food businesses while also improving production quality and mitigating manpower shortages.
Classes - Ripe & Unripe
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
automatoharvest_dataset,
title = { AutomatoHarvest Dataset },
type = { Open Source Dataset },
author = { Robotics UWU },
howpublished = { \url{ https://universe.roboflow.com/robotics-uwu/automatoharvest } },
url = { https://universe.roboflow.com/robotics-uwu/automatoharvest },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-12-22 },
}