Efficient UAV-Based Automatic Classification of Cassava Fields Using K-Means and Spectral Trend Analysis

Efficient UAV-Based Automatic Classification of Cassava Fields Using K-Means and Spectral Trend Analysis

High-resolution images captured by Unmanned Aerial Vehicles (UAVs) play a vital role in precision agriculture, particularly in evaluating crop health and detecting weeds. However, the detailed pixel information in these images makes classification a time-consuming and resource-intensive process. Des...

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Bibliographic Details
Main Authors: Apinya Boonrang, Pantip Piyatadsananon, Tanakorn Sritarapipat
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:AgriEngineering
Subjects:
automatic classification
weed mapping
UAV
cassava
very-high-resolution images
machine learning
Online Access:https://www.mdpi.com/2624-7402/6/4/250
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