Insectivisor Computer Vision Project
Updated a year ago
Metrics
Here are a few use cases for this project:
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Agricultural Pest Management: The "Insectivisor" could be used in agricultural settings to identify and classify harmful pests that may be damaging crops. Not only would it help detect the presence of WF, MR, NC class pests, but also aid in deploying effective pest control measures.
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Residential Pest Detection: Homeowners could use this model to determine the type of infestation they are dealing with. By merging the model with a smartphone app, a simple photo can help identify the pests in their house or garden, providing valuable information on how to deal with them.
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Academic Research: Biologists studying insects could use "Insectivisor" to help them accurately classify pests in their studies. It could accelerate their research process by avoiding manual categorization.
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Conservation Efforts: The model can be used by environmentalists and conservation organizations to track the presence or increase of certain insect classes in specific eco-systems, helping analyze and predict environmental changes.
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Pest Control Companies: Pest control service providers could integrate this model in their operations to improve the accuracy and speed of pest identification, making their services faster and more effective.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
insectivisor_dataset,
title = { Insectivisor Dataset },
type = { Open Source Dataset },
author = { Insectivisor },
howpublished = { \url{ https://universe.roboflow.com/insectivisor/insectivisor } },
url = { https://universe.roboflow.com/insectivisor/insectivisor },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-11-21 },
}