Jump to content
Sign in to follow this  
Jazzscout

Detecting plant disease by remote sensing

Recommended Posts

Hi,

I want to develop a workflow to detect a specific disease in potato plants(potato blight) by remote sensing.

I have acquired the images of the potato field by mounting a multispectral camera on a drone that flew at an altitude of 5m above the plants.

The multispectral camera has 5 bands namely: Blue,Green,Red,NIR and RedEdge.

I have converted the DN(raw digital number) values of all bands in reflectance values and also applied lens correction and also aligned them.

I have first trained SVM(support vector machine) to segment soil from plants and then also applied SAVI(soil adjusted vegetation index) to refine soil segmentation from plants.

Now, I want to apply NDVI(normalized difference vegetation index) to determine the heath of plants pixel wise.

Is it the right approach to follow? Will NDVI be resonable to apply on images taken at just 5m height? Or is there any better approach?

Best regards...

Share this post


Link to post
Share on other sites

It could be the correct approach, but it's basic or applied research that will take trial and error through scientific process.  There is no canned answer.  There are plenty of studies that support NDVI, or other vegetation indices (both narrow and broadband), serving as a proxy for crop health, vigor, LAI, etc.  Red edge has also shown promise in detecting the subtleties between a green, healthy plant and a relatively green, unhealthy plant.  The common denominator among these studies are field data; field data that has been collected in a meaningful and statistically rigorous manner so you can model the relationship between a vegetation index and the phenomenon of interest, in this case blight.  Have you collected ground truth data on plants with blight and plants without?  Can this be discerned at the spatial resolution that you are collecting at (5 meter overhead)?  If you find this out and can recommend optimal collection parameters and methods using UAS to detect blight, then I highly suggest that you publish your results.  

  • Like 2

Share this post


Link to post
Share on other sites

So far, I have collected data on plants with blight(in a test field), but I will collect data on plants without blight in the coming season. And, yes if I find this out, I'll certainly publish my results. And I appreciate your response to my question. 

  • Like 1

Share this post


Link to post
Share on other sites

I know one initiative who are doing similar project with Wageningen University. They have successfully done few similar work in Natherlands. This project is using Sentinel-2 image and combining that with local weather information to calculate late-blight disease vulnerability index. The project implements IDL and Python to automate the RS analysis. So far I know, this disease is highly dependent on moisture and temperature, and potato fields are relatively easy to identify from RS data.

We are doing something similar, but for paddy. There might be some algorithms already which you need to research. 

  • Like 1

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Sign in to follow this  

×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.