Chili Data set v4 Computer Vision Project

MVI

Updated 7 days ago

0

views

0

downloads
Classes (5)
Chilli
Green Chilli
disease
leaf curl
leaf spot

Metrics

Try This Model
Drop an image or
Description

Here are a few use cases for this project:

  1. Agricultural Disease Control: This model can be used by farmers or agricultural technicians to analyze crop fields, quickly identify infected chilli peppers, and provide immediate treatment. The goal is to prevent the wide-spread of diseases improving overall agricultural yield and productivity.

  2. Smart Greenhouse Monitoring: It can be used in advanced greenhouse systems to continuously monitor the health of the plants. If a disease is detected, the system could alert the greenhouse owner or automatically adjust environmental conditions to treat the disease.

  3. Educational Tool in Botany and Agriculture: This model could be used as an interactive teaching tool for students studying botany or agriculture, helping them to learn about different chilli plant diseases and their visual indications.

  4. Food Safety & Quality Control: In a food processing unit or vegetable market, this computer vision model can ensure the chili peppers being sold or processed are disease-free, ensuring better food safety and quality.

  5. Advanced Gardening Apps: The model can be used in gardening apps for hobbyist gardeners, aiding them in maintaining the health of their chilli plants by identifying and advising on disease treatment.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            chili-data-set-v4_dataset,
                            title = { Chili Data set v4 Dataset },
                            type = { Open Source Dataset },
                            author = { MVI },
                            howpublished = { \url{ https://universe.roboflow.com/mvi-zfd5a/chili-data-set-v4 } },
                            url = { https://universe.roboflow.com/mvi-zfd5a/chili-data-set-v4 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-18 },
                            }