Smart Detection Of Illicit Cannabis Plantations Using Remote Sensing Technology And Machine Learning

Remote sensing technology and machine learning classifiers can be utilized to develop smart detection systems for illicit crops such as Cannabis sativa L. Machine learning algorithms for classifying medium-resolution optical satellite data can be compared to identify the best model for enhancing law...

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Detaylı Bibliyografya
Asıl Yazarlar:	Dedi Irawadi, Tuga Mauritsius, Dony Kushardono, Syarif Budhiman, Karunika Diwyacitta, Bayu S. Adhitama, Fauzan A. Ayubi, Olivia Maftukhaturrizqoh, Ika S. Supriyani
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Lomonosov Moscow State University 2025-04-01
Seri Bilgileri:	Geography, Environment, Sustainability
Konular:	smart detection <i>cannabis sativa l.</i> remote sensing data machine learning classifiers
Online Erişim:	https://ges.rgo.ru/jour/article/view/3997
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Smart Detection Of Illicit Cannabis Plantations Using Remote Sensing Technology And Machine Learning

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