22-03-2023_TD Computer Vision Project

srecc

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Classes (8)
Early blight - Alternaria solani
GBNV
Groundnut Bud Necrosis Virus
Helathy tomato
Tomato Alternaria
Tomato Healthy
\
healthy tomato

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Description

Here are a few use cases for this project:

  1. Precision Agriculture: This computer vision model can be used in smart farming platforms to assess the health status of tomato and groundnut crops. It could enable farmers to quickly identify any infection caused by Early Blight or Groundnut Bud Necrosis Virus, thereby permitting prompt treatment.

  2. Crop Insurance: Insurance companies can use this model to validate claims about crop diseases. It can help them consolidate the evidence provided by farmers, correlate it with known GNBV classes and make informed decisions about the validity of claims.

  3. Botanical Research: Researchers can use this technology to study the impact of these diseases on crops more accurately and develop more resistant plant varieties or more effective treatments for these diseases.

  4. Agricultural Education: Colleges and educational institutions teaching agriculture and botany can use this model to train students to quickly identify these diseases, enhancing their learning experience.

  5. Agro-Tech Companies: Companies that manufacture fertilizers or pesticides can use this model to test the efficacy of their products under controlled conditions, so they can quantify their performance against these specific diseases.

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Cite This Project

LICENSE
CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            22-03-2023_td-xlxrs_dataset,
                            title = { 22-03-2023_TD Dataset },
                            type = { Open Source Dataset },
                            author = { srecc },
                            howpublished = { \url{ https://universe.roboflow.com/srecc/22-03-2023_td-xlxrs } },
                            url = { https://universe.roboflow.com/srecc/22-03-2023_td-xlxrs },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-24 },
                            }
                        
                    

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