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All Journal ITEj (Information Technology Engineering Journals)
A, Akandewa
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics

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Analysis and Detection of Weeds Using Artificial Neural Networks A, Akandewa; NG, Linda
ITEJ (Information Technology Engineering Journals) Vol 7 No 2 (2022): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v7i2.107

Abstract

Detection of weeds or weeds is one way to increase agricultural yields. Herbicides are one of the most effective drugs for dealing with weeds. The effectiveness of using herbicides is done by spraying correctly and on target. In this study we detect weeds using artificial neural networks with camera tools that capture vertically the object to be detected. The results of the study show that detection results using artificial neural networks produce fairly good accuracy.
Co-Authors NG, Linda