Groundnut Disease Detection Computer Vision Project
Updated a year ago
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Here are a few use cases for this project:
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Agricultural Health Monitoring: This model can be employed in smart agriculture technology to regularly analyze the health of the groundnut crops. It can detect various diseases by analyzing the patterns and colors on the leaves and pods, empowering farmers to take immediate action and reduce crop loss.
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Precision Farming: The "Groundnut Disease Detection" model can be integrated into drones for precision farming. The drones equipped with this model can scan large fields to detect diseases at an early stage, allowing intervention before widespread damage.
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Pesticide Development: This model can be used by agrochemical companies for creating targeted pesticides or fungicides. The model will help them understand the degree of effectiveness of their products by analyzing the disease before and after their product's use.
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Research and Education: Educational institutions and research organizations can use it to study the effect and progression of various diseases on groundnut plants. This can help in developing more disease-resistant varieties of groundnut.
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Plant Nurseries and Seed Suppliers: Companies selling groundnut seeds or young plants can use this model to ensure that they are not selling diseased plants, thereby improving their reputation and customer satisfaction.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
groundnut-disease-detection_dataset,
title = { Groundnut Disease Detection Dataset },
type = { Open Source Dataset },
author = { Object Detection },
howpublished = { \url{ https://universe.roboflow.com/object-detection-alebl/groundnut-disease-detection } },
url = { https://universe.roboflow.com/object-detection-alebl/groundnut-disease-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { aug },
note = { visited on 2024-11-23 },
}