MaizeTech Object Detection Dataset and Pre-Trained Model by MaizeTech

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Here are a few use cases for this project:

Pest and disease detection: Agricultural companies, crop management companies, or automated farm equipment could use the MaizeTech model to detect early signs of diseases and pest infection such as Fall Armyworm, facilitate early intervention, improve response time and mitigate crop loss.
Smart Farming: Farmers and horticulturists could implement this model in their regular inspections process or smart farming solutions to identify the health status of the corn plants, leading to effective treatment applications and thus, optimised crop yield and quality.
Agricultural Research: The MaizeTech model could be used by agronomy researchers and students in their studies to better understand diseases affecting maize plants, their symptoms and impacts, contributing to developing advanced strategies and solutions for disease control.
Plant Nursery Management: Maize seedling suppliers or nurseries could use the model to ensure they are selling high-quality, disease-free seedlings to farmers, by detecting and eliminating affected plants early on.
Agricultural Drones: The MaizeTech model could be integrated into the technology for agricultural drones providing aerial inspection services. The drones could fly over large corn fields and quickly identify infected areas, ensuring swift and targeted treatments.

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{
                            maizetech_dataset,
                            title = { MaizeTech Dataset },
                            type = { Open Source Dataset },
                            author = { MaizeTech },
                            howpublished = { \url{ https://universe.roboflow.com/maizetech/maizetech } },
                            url = { https://universe.roboflow.com/maizetech/maizetech },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-18 },
                            }