Characterizing Agricultural Soils Using Machine Learning with UAV and Geophysical Techniques

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP
State	Published - Jan 1 2022

Cite this

@article{85e96adf46bc40b8a72ff2b5d5e19a87,

title = "Characterizing Agricultural Soils Using Machine Learning with UAV and Geophysical Techniques",

author = "Grote, \{Katherine R.\} and Yunyi Guan",

year = "2022",

month = jan,

day = "1",

language = "American English",

journal = "Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP",

}

TY - JOUR

T1 - Characterizing Agricultural Soils Using Machine Learning with UAV and Geophysical Techniques

AU - Grote, Katherine R.

AU - Guan, Yunyi

PY - 2022/1/1

Y1 - 2022/1/1

UR - https://scholarsmine.mst.edu/geosci_geo_peteng_facwork/2023

M3 - Article

JO - Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP

JF - Proceedings of the Symposium on the Application of Geophyics to Engineering and Environmental Problems, SAGEEP

ER -