22-03-2023_TD Object Detection Dataset and Pre-Trained Model by srecc

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Explore Dataset

Here are a few use cases for this project:

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.
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.
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.
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.
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.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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 2024-06-18 },
                            }