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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Hlavní autoři:	Dedi Irawadi, Tuga Mauritsius, Dony Kushardono, Syarif Budhiman, Karunika Diwyacitta, Bayu S. Adhitama, Fauzan A. Ayubi, Olivia Maftukhaturrizqoh, Ika S. Supriyani
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Lomonosov Moscow State University 2025-04-01
Edice:	Geography, Environment, Sustainability
Témata:	smart detection <i>cannabis sativa l.</i> remote sensing data machine learning classifiers
On-line přístup:	https://ges.rgo.ru/jour/article/view/3997
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!