Vision-Based Robotic System for Selective Weed Detection and Control in Precision Agriculture

Precision agriculture is a key technology for addressing challenges such as increasing food demand, labour shortages, and the environmental impact of intensive agrochemical use. In this context, selective weed management remains a critical issue due to its direct effect on crop productivity and sust...

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Bibliografiske detaljer

Principais autores:	Rubén O. Hernández-Terrazas, Juan M. Xicoténcatl-Pérez, Julio C. Ramos-Fernández, Marco A. Márquez-Vera, José G. Benítez-Morales, Eucario G. Pérez-Pérez, Jorge A. Ruiz-Vanoye, Ocotlán Diaz-Parra, Francisco R. Trejo-Macotela, Alejandro Fuentes-Penna
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2026-04-01
Serier:	Agriculture
Fag:	precision agriculture computer vision convolutional neural networks agricultural robotics artificial intelligence weeds
Online adgang:	https://www.mdpi.com/2077-0472/16/7/810
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