Plants_diseases_detection_using_yolov8 Computer Vision Project
Updated 2 years ago
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Here are a few use cases for this project:
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Agricultural Monitoring: This model can effectively be used by farmers and agricultural businesses to constantly monitor the health of their crops. It can highlight any sickness early on, allowing for early treatment, thereby improving yield and reducing crop loss.
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Automated Greenhouse Systems: In an automatized environment like greenhouses, this model can be used to continually check the health of the plants, identify diseases, and notify the operators. This can ensure early intervention and improve the overall health and growth of plants.
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Pest Control Companies: Companies specializing in pest control can use the model to accurately identify plant diseases during their inspections. This can ensure they use the correct treatments and improve the effectiveness of their service.
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Education and Research: The model can be used for educating students in botany or plant pathology about various plant diseases. Moreover, researchers can utilize it to aid in disease identification for their studies or to train new models.
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Horticulture and Landscaping: Professionals working with ornamental plants, gardens, or lawns can use the model to identify and treat diseases, ensuring the health and longevity of the plants they are responsible for.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
plants_diseases_detection_using_yolov8_dataset,
title = { Plants_diseases_detection_using_yolov8 Dataset },
type = { Open Source Dataset },
author = { Plants Diseases },
howpublished = { \url{ https://universe.roboflow.com/plants-diseases/plants_diseases_detection_using_yolov8 } },
url = { https://universe.roboflow.com/plants-diseases/plants_diseases_detection_using_yolov8 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-12-23 },
}