Testing the Suitability of Automated Machine Learning for Weeds Identification

Testing the Suitability of Automated Machine Learning for Weeds Identification

In the past years, several machine-learning-based techniques have arisen for providing effective crop protection. For instance, deep neural networks have been used to identify different types of weeds under different real-world conditions. However, these techniques usually require extensive involvem...

Detaylı Bibliyografya
Asıl Yazarlar:	Borja Espejo-Garcia, Ioannis Malounas, Eleanna Vali, Spyros Fountas
Materyal Türü:	Makale
Dil:	English
Baskı/Yayın Bilgisi:	MDPI AG 2021-02-01
Seri Bilgileri:	AI
Konular:	automated machine learning AutoML weeds identification deep learning precision agriculture
Online Erişim:	https://www.mdpi.com/2673-2688/2/1/4

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