Optimizing the Spatial Layout of Agricultural Irrigation Sprinklers Using Remote Sensing Data: An Adaptive Incremental K-Means Clustering Algorithm

The layout of sprinklers is crucial in agricultural irrigation systems, and agricultural remote sensing technology plays a key role in extracting plant distribution data for designing efficient sprinkler layouts. However, traditional manual methods struggle to handle the complexity and scale of plan...

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Vydáno v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 18; s. 14974 - 14987
Hlavní autoři:	Geng, Jing, Zhao, Shangxian, Wang, Yifei, Li, Qi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive systems Agricultural remote sensing Algorithms Centroids Clustering Clustering algorithms Clustering methods Irrigation Irrigation systems Irrigation water Iterative algorithms Layout Linear programming Optimization Partitioning algorithms Plant extracts Plant layout Plants Plants (biology) Remote sensing sprinkler layout Sprinklers
ISSN:	1939-1404, 2151-1535
On-line přístup:	Získat plný text
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