IMAGE PROCESSING BASED INTELLIGENT SPRAYING ROBOT FOR WEED CONTROL
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
PARLAR SCIENTIFIC PUBLICATIONS (P S P)
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
At weed control, physico-mechanical is the most commonly used method in chemical weeding in the world and in our country despite genetic, biological and biotechnical methods. Pesticide use in agriculture has increased in recent years. Because of the difficulty in finding farm workers and damage to sugar beets caused by farm workers due to their carelessness during hoeing, the use of chemicals has increased. However, because the pesticide used in chemical weeding affect human health, the environment and the natural balance negatively and because of increased production costs pesticides should be applied precisely, cautiously and with the minimum agricultural pesticide loss. In this study, image processing based intelligent spraying robot was developed. Variable levelled herbicide was applied on weed by using image processing techniques. The covering rate of the spraying liquid applied on the weeds was determined for 8 different speed values of robot when nozzle height of the spraying robot is 50 and 30 cm. A reduction of 40% led to a decrease of 9.42% for 4 weed averagely in the covering value of the spraying liquid to the weed.
Açıklama
Anahtar Kelimeler
Image processing, precision agriculture, robotic weeding, weed control
Kaynak
FRESENIUS ENVIRONMENTAL BULLETIN
WoS Q Değeri
Q4
Scopus Q Değeri
N/A
Cilt
25
Sayı
12
