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Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
Home Page: https://rentadronecl.github.io
License: GNU General Public License v3.0
Jupyter Notebook 99.94%
Python 0.06%
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Thought it may be helpful/convenient to have a link to the license in the readme
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Add link to license in readme
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It's already in the top right hand corner but can easily be missed
Have a module for generating statistical reports regarding the number and types of problems found in photographs.
(Adding TODO List item from readme)
Have a module for generating statistical reports regarding the number and types of problems found in photographs.
Converting from to do list for easier tracking
Develop an algorithm that generates a mask by segmenting the ortho mosaic image of the crop, highlighting as ROI (Region of Interest) the areas with the lowest levels of vegetation index values (NDVI, OSAVI, LAI, etc.) and the
Generate KMZ maps using the GPS information in metadata of the photos
(Adding TODO List item from readme)
Convert meters to pixels with metadata of the raster image.
Change License from MIT to GPL
See readme
(Adding TODO List item from readme)
Generate KMZ maps, using the GPS information in metadata of the photos
Converting from to do list for easier tracking