Deep learning-based decision support system for weeds detection in wheat fields

In precision farming, identifying weeds is an essential first step in planning an integrated pest management program in cereals. By knowing the species present, we can learn about the types of herbicides to use to control them, especially in non-weeding crops where mechanical methods that are not ef...

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Veröffentlicht in:	International journal of electrical and computer engineering (Malacca, Malacca) Jg. 12; H. 1; S. 816
Hauptverfasser:	Jabir, Brahim, Falih, Noureddine
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Yogyakarta IAES Institute of Advanced Engineering and Science 01.02.2022
Schlagworte:	Artificial neural networks Cereals Decision support systems Deep learning Herbicides Mowing Object recognition Spraying Tillage Weeds Wheat
ISSN:	2088-8708, 2722-2578, 2088-8708
Online-Zugang:	Volltext
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