tomato leaf detection Computer Vision Project
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Here are a few use cases for this project:
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Agricultural Disease Management: Farmers and agriculturists can use this model to early detect and manage tomato leaf diseases, enabling appropriate treatment and minimizing crop loss.
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Precision Agriculture Tools: The model can be integrated into drones or other precision agriculture AI tools for large-scale tomato farm monitoring, enabling localization and visualization of disease spread.
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Plant Pathology Research: Researchers and scientists studying plant diseases can use this model to aid in their studies, speeding up disease identification for experimental purposes.
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Smart Gardening Applications: The model can be added into smart gardening apps to assist home gardeners in monitoring their tomato plants' health, ensuring prompt disease detection and treatment.
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Education: The model can be used as an educational tool in agricultural learning centers or universities for students studying plant pathology, botany, or agriculture, enabling real-world disease recognition practice.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
tomato-leaf-detection-u6mou_dataset,
title = { tomato leaf detection Dataset },
type = { Open Source Dataset },
author = { PIYUSH BAGDE },
howpublished = { \url{ https://universe.roboflow.com/piyush-bagde-vdfeh/tomato-leaf-detection-u6mou } },
url = { https://universe.roboflow.com/piyush-bagde-vdfeh/tomato-leaf-detection-u6mou },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { aug },
note = { visited on 2024-09-25 },
}