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Provedor de dados:  CIGR Journal
País:  China
Título:  Improving field management by machine vision - a review
Autores:  Taghadomi-Saberi, Saeedeh
Hemmat, Abbas
Data:  2015-09-25
Ano:  2015
Palavras-chave:  Biosystems engineering Precision agriculture
Field management
Image processing
Variable rate
Resumo:  Growing population of people around the world and thus increasing demand to food products as well as high tendency for declining the cost of operations and environmental preserving cares intensify inclination toward the application of variable rate systems for agricultural treatments, in which machine vision as a powerful appliance has been paid vast attention by agricultural researchers and farmers as this technology consumers. Various applications have introduced for machine vision in different fields of agricultural and food industry till now that confirms the high potential of this approach for inspection of different parameters affecting productivity. Computer vision has been utilized for quantification of factors affecting crop growth in field; such as, weed, irrigation, soil quality, plant nutrients and fertilizers in several cases. This paper presents some of these successful applications in addition to representing an introduction to machine vision.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.cigrjournal.org/index.php/Ejounral/article/view/3250
Editor:  International Commission of Agricultural and Biosystems Engineering
Relação:  http://www.cigrjournal.org/index.php/Ejounral/article/view/3250/2153
http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/3250/1156
Formato:  application/pdf
Fonte:  Agricultural Engineering International: CIGR Journal; Vol 17, No 3 (2015): CIGR Journal

1682-1130
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