Coconut Rhinoceros Beetle Infested Palm Tree Detection

Object Detection

Coconut Rhinoceros Beetle Infested Palm Tree Detection Computer Vision Model

CRB

Updated 3 years ago

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Classes (5)
healthy_frond
healthy_tree
infested_frond
infested_tree
notch

Metrics

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Description

This Object-Detection Model is for Detecting Coconut Rhinoceros Beetles affecting Palm trees using Drone Imagery.

For more info on CRBs visit: CRB Response Website USDA Site

The labels we are looking for are:

  1. notch - 45 degree cut on palm fronds
  2. infested_frond - a palm frond with one or more notches
  3. healthy_frond - a palm frond with no notch
  4. infested_tree - a palm tree with one or more notches on its palm fronds
  5. healthy_tree - a palm tree with no notches on its palm fronds

Updates (02/26/2023)

  • Current images collected were taken at 250AGL with a commercial DJI.
  • To get involved or add to dataset email marcivan@hawaii.edu

Cite This Project

LICENSE
MIT

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

                        @misc{
                            coconut-rhinoceros-beetle-infested-palm-tree-detection_dataset,
                            title = { Coconut Rhinoceros Beetle Infested Palm Tree Detection Dataset },
                            type = { Open Source Dataset },
                            author = { CRB },
                            howpublished = { \url{ https://universe.roboflow.com/crb/coconut-rhinoceros-beetle-infested-palm-tree-detection } },
                            url = { https://universe.roboflow.com/crb/coconut-rhinoceros-beetle-infested-palm-tree-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2025-11-18 },
                            }
                        
                    

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