Estimating soil salinity in cotton fields using UAV multispectral remote sensing and SSA–SVM optimised machine learning model

This study developed a sparrow search algorithm-optimised support vector machine (SSA–SVM) screening method using unmanned aerial vehicle (UAV)-based multispectral remote sensing imagery to enhance the accuracy and efficiency of soil salinity detection. This approach effectively extracts weak soil s...

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Detaylı Bibliyografya
Asıl Yazarlar:	Jiangtao Li, Jianli Ding, Jiao Tan, Jinjie Wang, Lijing Han, Kuangda Cui
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Taylor & Francis Group 2025-12-01
Seri Bilgileri:	International Journal of Digital Earth
Konular:	Soil salinity UAV multispectral remote sensing feature selection Sparrow search algorithm-optimised SVM (SSA–SVM) BP neural network (BPNN)
Online Erişim:	https://www.tandfonline.com/doi/10.1080/17538947.2025.2548378
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Estimating soil salinity in cotton fields using UAV multispectral remote sensing and SSA–SVM optimised machine learning model

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