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How to detect particular plant

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11-14-2024 12:01 AM
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DevakalaiselvanS
Occasional Contributor

The fields are sown with different kinds of plants. I want to identify a specific plant.is it feasible.Lead me, experts.

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PavanYadav
Esri Contributor

@DevakalaiselvanS 

To identify specific vegetation, consider high-resolution natural color or multispectral imagery. Multispectral imagery, with data across multiple wavelengths, can better distinguish plant species. 

Key factors:

  • Spatial Resolution: Imagery must be detailed enough to see the target plants. If you can visually identify the plants in your images, those images can be used to train a machine learning model. 
  • Spectral Resolution: The number of wavelengths captured influences accuracy.

I understand you need plant detection but in case you're looking for a crop classification ready to use model, consider this: https://doc.arcgis.com/en/pretrained-models/latest/imagery/introduction-to-prithvi-crop-classificati...

This is an example of time series multispectral crop classification - https://medium.com/geoai/crop-classification-via-satellite-image-time-series-and-psetae-deep-learnin... 

 

 

Pavan Yadav
Product Engineer at Esri
AI for Imagery
Connect with me on LinkedIn!
Contact Esri Support Services

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ShaneONeill_144
Esri Contributor

Hi @DevakalaiselvanS could you provide a bit more information regarding this, i.e. your workflow, your datasets, etc?

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DevakalaiselvanS
Occasional Contributor

In my location, I wish to identify specific vegetation. Is there a chance that a certain plant inside the overall vegetation.Inquire about the features of the satellite image. @ShaneONeill_144 

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DevakalaiselvanS
Occasional Contributor

Which kind of satellite image is best for identifying vegetation? @ShaneONeill_144 

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PavanYadav
Esri Contributor

@DevakalaiselvanS 

To identify specific vegetation, consider high-resolution natural color or multispectral imagery. Multispectral imagery, with data across multiple wavelengths, can better distinguish plant species. 

Key factors:

  • Spatial Resolution: Imagery must be detailed enough to see the target plants. If you can visually identify the plants in your images, those images can be used to train a machine learning model. 
  • Spectral Resolution: The number of wavelengths captured influences accuracy.

I understand you need plant detection but in case you're looking for a crop classification ready to use model, consider this: https://doc.arcgis.com/en/pretrained-models/latest/imagery/introduction-to-prithvi-crop-classificati...

This is an example of time series multispectral crop classification - https://medium.com/geoai/crop-classification-via-satellite-image-time-series-and-psetae-deep-learnin... 

 

 

Pavan Yadav
Product Engineer at Esri
AI for Imagery
Connect with me on LinkedIn!
Contact Esri Support Services
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