merge-apple-cucumber-tomato-grape2 Computer Vision Project

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Updated 2 years ago

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Classes (29)
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AppleLeaf_healthy
AppleLeaf_unhealthy_Rusty
AppleLeaf_unhealthy_rot
AppleLeaf_unhealthy_scab
Apple_healthy
Apple_unhealthy_scab
CucumberLeaf_healthy
CucumberLeaf_unhealthy
GrapeLeaf_healthy
GrapeLeaf_unhealthy_BlackRot
GrapeLeaf_unhealthy_LeafBlight
GrapeLeaf_unhealthy_blackMeasles
TomatoLeaf_CurlVirus
TomatoLeaf_healthy
TomatoLeaf_unhealthy_EarlyBlight
TomatoLeaf_unhealthy_LateBlight
TomatoLeaf_unhealthy_MosaicVirus
TomatoLeaf_unhealthy_mold
TomatoLeaf_unhealthy_septoria
TomatoLeaf_unhealthy_spiderMites
TomatoLeaf_unhealthy_targetSpot
Tomato_healthy
object

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Description

Here are a few use cases for this project:

  1. Crop Analysis - The model can be used by farmers or agricultural experts to conduct periodic health checks of crops. For better precision, close-up images of plant leaves and fruits can be taken and analyzed. The model can identify a number of diseases such as apple scab, grape black measles, and tomato mosaic virus among others, based on which farmers can take appropriate measures.

  2. Garden Management - Home gardeners or horticulture enthusiasts can use this model to sustain the health of their plants. The model will help in early detection of plant diseases, allowing proactive care and treatment.

  3. Plant Disease Research - Researchers in plant pathology can use this model to detect and study various plant diseases on apples, grapes, tomatoes and cucumbers. This can further aid in their research for finding effective pesticides or developing hardier plant strains.

  4. AgriTech Solutions - Tech companies in the agricultural space can use this model to build applications that help farmers manage their crops. This could be in the form of mobile apps that farmers can use on-the-go, simply by clicking and uploading a photo of the leaf they believe to be infected.

  5. Educational Tool - The model could be used as an educational tool in schools or universities teaching agriculture or biology. It will provide students with a practical and efficient way to recognize and differentiate between many types of plant diseases.

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            merge-apple-cucumber-tomato-grape2_dataset,
                            title = { merge-apple-cucumber-tomato-grape2 Dataset },
                            type = { Open Source Dataset },
                            author = { Main },
                            howpublished = { \url{ https://universe.roboflow.com/main-6joil/merge-apple-cucumber-tomato-grape2 } },
                            url = { https://universe.roboflow.com/main-6joil/merge-apple-cucumber-tomato-grape2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-13 },
                            }
                        
                    

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