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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Vydané v:	International journal of electrical and computer engineering (Malacca, Malacca) Ročník 12; číslo 1; s. 816
Hlavní autori:	Jabir, Brahim, Falih, Noureddine
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Yogyakarta IAES Institute of Advanced Engineering and Science 01.02.2022
Predmet:	Artificial neural networks Cereals Decision support systems Deep learning Herbicides Mowing Object recognition Spraying Tillage Weeds Wheat
ISSN:	2088-8708, 2722-2578, 2088-8708
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