Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
Work
Year: 2022
Type: article
Abstract: Accurate cotton maps are crucial for monitoring cotton growth and precision management. The paper proposed a county-scale cotton mapping method by using random forest (RF) feature selection algorithm ... more
Source: Remote Sensing
Institutions Tarim University, China Agricultural University
Cites: 60
Cited by: 62
Related to: 10
FWCI: 10.02
Citation percentile (by year/subfield): 100
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Sustainable Development Goal Life on land
Open Access status: gold
APC paid (est): $2,707