Detection of Fall Armyworm infestation with Deep Learning Computer Vision Project
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Here are a few use cases for this project:
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Agricultural Pest Detection: This model can be used by farmers and agricultural specialists to monitor crops for signs of Fall Armyworm infestation. Early detection can prevent significant crop damage and loss.
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Research Studies: Entomologists and biologists researching Fall Armyworms can utilsie this model to accelerate their study process, like monitoring the lifecycle and behavior of Fall Armyworms.
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Smart Farming Applications: Integration in smart farming applications to monitor crops continually and alert farmers in real time about any infestation, improving response time and potentially limiting crop damage.
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Crop Insurance Assessment: Insurance companies that offer crop insurance could use it to verify claims related to Fall Armyworm damage, by confirming the presence of the pest and tracking their lifecycle stages.
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Pesticide Development & Testing: Companies developing pesticides for Fall Armyworm could utilize this model in testing the effectiveness of their products, by monitoring the lifecycle stages before and after application of the product.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
detection-of-fall-armyworm-infestation-with-deep-learning_dataset,
title = { Detection of Fall Armyworm infestation with Deep Learning Dataset },
type = { Open Source Dataset },
author = { Baltazar Mu },
howpublished = { \url{ https://universe.roboflow.com/baltazar-mu/detection-of-fall-armyworm-infestation-with-deep-learning } },
url = { https://universe.roboflow.com/baltazar-mu/detection-of-fall-armyworm-infestation-with-deep-learning },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jul },
note = { visited on 2024-11-27 },
}