AI-Agro
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RentadroneCL
Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
Have a module for generating statistical reports regarding the number and types of problems found in photographs. Converting from [to do list](https://github.com/RentadroneCL/AI-Agro#software-features-to-do-list) for easier tracking
Generate KMZ maps, using the GPS information in metadata of the photos Converting from [to do list](https://github.com/RentadroneCL/AI-Agro#software-features-to-do-list) for easier tracking
Converting from [to do list](https://github.com/RentadroneCL/AI-Agro#software-features-to-do-list) for easier tracking
Convert meters to pixels with metadata of the raster image.
Add new vegetation indexes to the algorithm(Ej. OSAVI, LAI, etc) to https://github.com/RentadroneCL/Precision_Agriculture/blob/master/veg_index.py, which can be calculated from the 5 spectral bands described in https://github.com/RentadroneCL/Precision_Agriculture#multispectral-bands
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...
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Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops