Name: leaf detection Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

19 images

Explore Dataset

Here are a few use cases for this project:

Precision Agriculture: The leaf detection computer vision model can be used to analyze the health and growth patterns of plants in vineyards, helping farmers optimize resources like water, fertilizers, and pesticides.
Automated Pruning: Integrating the leaf detection model with robotics or agricultural machinery can enable precise and efficient pruning of vines, ensuring optimal growth and fruit yield in vineyards.
Disease Detection: The model can aid in the early identification of diseases impacting vine leaves, allowing for proactive intervention and reducing crop loss.
Biodiversity Monitoring: The model can assist in tracking the presence of various plant species within the vineyard environment, facilitating efforts to preserve biodiversity and maintain ecological balance.
Data-Driven Cultivation: By providing valuable insights on leaf growth and health, the model can contribute to the development of data-driven vineyard management practices, enhancing crop yield and quality.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            leaf-detection-yz5ss_dataset,
                            title = { leaf detection Dataset },
                            type = { Open Source Dataset },
                            author = { omri lerner },
                            howpublished = { \url{ https://universe.roboflow.com/omri-lerner/leaf-detection-yz5ss } },
                            url = { https://universe.roboflow.com/omri-lerner/leaf-detection-yz5ss },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { aug },
                            note = { visited on 2024-05-06 },
                            }