Chili Data set v4 Computer Vision Project
Updated 7 days ago
Metrics
Here are a few use cases for this project:
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Agricultural Disease Control: This model can be used by farmers or agricultural technicians to analyze crop fields, quickly identify infected chilli peppers, and provide immediate treatment. The goal is to prevent the wide-spread of diseases improving overall agricultural yield and productivity.
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Smart Greenhouse Monitoring: It can be used in advanced greenhouse systems to continuously monitor the health of the plants. If a disease is detected, the system could alert the greenhouse owner or automatically adjust environmental conditions to treat the disease.
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Educational Tool in Botany and Agriculture: This model could be used as an interactive teaching tool for students studying botany or agriculture, helping them to learn about different chilli plant diseases and their visual indications.
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Food Safety & Quality Control: In a food processing unit or vegetable market, this computer vision model can ensure the chili peppers being sold or processed are disease-free, ensuring better food safety and quality.
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Advanced Gardening Apps: The model can be used in gardening apps for hobbyist gardeners, aiding them in maintaining the health of their chilli plants by identifying and advising on disease treatment.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
chili-data-set-v4_dataset,
title = { Chili Data set v4 Dataset },
type = { Open Source Dataset },
author = { MVI },
howpublished = { \url{ https://universe.roboflow.com/mvi-zfd5a/chili-data-set-v4 } },
url = { https://universe.roboflow.com/mvi-zfd5a/chili-data-set-v4 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-18 },
}