Can someone suggest some tutorials or technical notes on Drone/UAV image analysis, especially using R and Python for Agricultural Studies? Multi-spectral and Thermal Images ?
Following Links may be helpful to you:
file:///C:/Users/useer/Documents/information-10-00349.pdf
https://www.opendronemap.org/
https://picterra.ch/blog/use-drones-and-machine-learning-to-improve-crop-yield-in-agriculture/
http://www.fao.org/3/I8494EN/i8494en.pdf
https://www.nature.com/articles/s41438-019-0151-5
I think this might be a good python example of what you are after - https://github.com/divzhere/Pestdetection
To implement your own one, start simply by testing some single images to see if you can segment out your area of interest with just some simple segmentation algorithms (https://scikit-image.org/docs/dev/user_guide/tutorial_segmentation.html).
If this is not possible then try training a classifier (try u-net) to recognise whatever you want to measure. For this you can try pytorch (https://pytorch.org) or keras (https://github.com/zhixuhao/unet).
Once you have the segmentation sorted then see if you can scale it up to run on each frame of the drone footage.
https://www.pyimagesearch.com/2015/05/04/target-acquired-finding-targets-in-drone-and-quadcopter-video-streams-using-python-and-opencv/
Hi,
You can use some R packages distributed for simple image processing purposes in R or raster package.
Bests.
Have a look at the videos from the recent DroneCamp workshop by the University of California and California State University systems. There is an online lesson on using QGIS for multispectral imagery processing.
https://www.youtube.com/watch?v=zdipN7rwQPA
Also, there are many other resources in Github on that topic. This is just one example of using QGIS and R for the same:
https://tnelsen.github.io/Drone-Data-in-Agricultural-Research/
I hope this helps
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