DETERMINING THE EFFICIENCY OF A SMART SPRAYING ROBOT FOR CROP PROTECTION USING IMAGE PROCESSING TECHNOLOGY-Reference-Cited by-同舟云学术

DETERMINING THE EFFICIENCY OF A SMART SPRAYING ROBOT FOR CROP PROTECTION USING IMAGE PROCESSING TECHNOLOGY

Published:2021-08-31 Issue: Volume: Page:365-374
ISSN:2068-2239
Container-title:INMATEH Agricultural Engineering
language:en
Short-container-title:INMATEH

Author:

Jalal Al-Sammarraie Mustafa Ahmed¹,Jasim Noor Ahmed¹

Affiliation:

1. College of Agricultural Engineering Sciences, University of Baghdad, Baghdad/Iraq

Abstract

A system was used to detect injuries in plant leaves by combining machine learning and the principles of image processing. A small agricultural robot was implemented for fine spraying by identifying infected leaves using image processing technology with four different forward speeds (35, 46, 63 and 80 cm/s). The results revealed that increasing the speed of the agricultural robot led to a decrease in the mount of supplements spraying and a detection percentage of infected plants. They also revealed a decrease in the percentage of supplements spraying by 46.89, 52.94, 63.07 and 76% with different forward speeds compared to the traditional method.

Publisher

INMA Bucharest-Romania

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Food Science

Reference25 articles.

1. Abdullah, A., Sidek, O., Amran, N. A., Za’Bah, U. N., Nikmat, F., Jafar, H., & Hadi, M. A. (2012). Development of wireless sensor network for monitoring global warming. 2012 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 107–111, Malaysia.

2. Ali, H., Lali, M. I., Nawaz, M. Z., Sharif, M., & Saleem, B. A. (2017). Symptom based automated detection of citrus diseases using color histogram and textural descriptors. Computers and Electronics in Agriculture, 138, 92–104, Pakistan.

3. Al-Sammarraie, M. A. J., & Özbek, O. (2021). Comparison of the Effect Using Color Sensor and Pixy2 Camera on the Classification of Pepper Crop. Journal of Mechanical Engineering Research and Developments, 44(1), 396–403, Baghdad/Iraq.

4. Çetin, N., Sağlam, C., & Demir, B. (2018). Pülverizatör Memelerinde Püskürtme Açısı Değişimlerinin Görüntü İşleme Yöntemiyle Belirlenmesi. 3rd International Mediterranean Science and Engineering Congress, 1592–1596.

5. Delen N. (2008). Fungisitler. Nobel Yayın Dağıtım. Nobel Yayın No: 1360, Ankara/Turkey.

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