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
History
Usage metrics
Categories
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)
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC