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GIS data and juptyer Notebook for Random Forest models for soybean Sudden Death Syndrome (SDS)
dataset
posted on 2019-12-12, 22:16 authored by Chris HardingChris Harding, Muhammad RazaMuhammad RazaGIS_data_and_jupyter_python_notebook.zip: Data for Modeling SDS via Random Forest Models. Contains a ArcGIS Pro project with example data collected at Marston Farm (Boone, IA) and cropped Planet scope 4-band imagery of the area for 2016, 2017 and 2018.
Preview for jupyter notebook: preview of a jupyter (Python 3) notebook that demonstrates the use of Random forest classifier using the GIS data.
Funding
Fulbright Award to Muhammad M. Raza
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Keywords
SoybeanSudden Death SyndromSDSRandom Forest ModelingMachine LearningArcGISRemote SensingPlanet ScopePythonJupyter NotebookAgricultural Spatial Analysis and ModellingAgricultural Systems Analysis and ModellingHorticultural Crop Growth and DevelopmentHorticultural Crop Protection (Pests, Diseases and Weeds)
