<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Multispectral Image Analysis for Crop Health Monitoring System"^^ . "The goal of this research is to apply machine learning to classify healthy and unhealthy potato crops collected from UAV-based multispectral images, and to establish which spectral band provides the best separation for classification. Traditional detection and mapping approaches take time, involve a lot of human work, and are often subjective. The classification will use the Random Forest Classifier as the machine learning technique to classify based on two vegetation indices: the Normalized Difference Vegetation Index (NDVI) and the Red Edge Normalized Difference Vegetation Index (NDRE). The proposed method includes three primary components: (1) raw picture radiometric correction and orthomosaic combination; (2) dirt and weed removal using a thresholding method; and (3) classification and model training using Random Forest Classifier. The method's performance is assessed using data from an experimental potato field published by the University of Idaho. © 2022 IEEE."^^ . "2022" . . . "Institute of Electrical and Electronics Engineers Inc."^^ . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation, ROMA 2022"^^ . . . . . . . . . . . . . . . . . "L.I."^^ . "Izhar"^^ . "L.I. Izhar"^^ . . "A.S.B."^^ . "Abdul Rahman"^^ . "A.S.B. Abdul Rahman"^^ . . "R.N."^^ . "Rohmah"^^ . "R.N. Rohmah"^^ . . "P."^^ . "Sebastian"^^ . "P. Sebastian"^^ . . . . . "HTML Summary of #17457 \n\nMultispectral Image Analysis for Crop Health Monitoring System\n\n" . "text/html" . .