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Design and Iimplementation of a Precision Sprayer System for Weed Management Using Computer Vision System (Case Study: Sugarbeet Farm) | ||
| تحقیقات سامانهها و مکانیزاسیون کشاورزی | ||
| Article 9, Volume 20, Issue 72, July 2019, Pages 123-142 PDF (1.17 M) | ||
| Document Type: Original Article | ||
| DOI: 10.22092/erams.2018.114877.1211 | ||
| Authors | ||
| Hadi Orak1; S. Abdanan-Mehdizade* 2 | ||
| 1MSc student of Mechanics of Biosystems Engineering Department, Faculty of Agricultural Engineering and Rural Development, Ramin Agriculture and Natural Resources University of Khuzestan. | ||
| 2Assistant Professor, Mechanics of Biosystems Engineering Department, Faculty of Agricultural Engineering and Rural Development, Ramin Agriculture and Natural Resources University of Khuzestan. | ||
| Abstract | ||
| One of the objectives of precision agriculture is to minimize the volume of herbicide application by using weed management systems. To achieve this goal, a system based on image processing techniques was developed to detect weeds. In the proposed method, HSV color space was used to discriminate between vegetation and background, and between crops and weeds. In this research, the H component of HSV color space along with suitable erosion and dilation were used to automatically segment background (soil) and foreground (weed). According to what was obtained, the algorithm could identify weed from sugar beet plants with the accuracy of 94%. The intelligent sprayer system, in the field trials, in comparison with conventional sprayers (Buferagri sprayer), reduced 67.86% of volume of herbicide due to application of computer vision. The use of this method, as an intelligent sprayer system in sugar beet fields, is recommended. | ||
| Keywords | ||
| Computer Vision; Precision Sprayer; Sugar Beet; Weed Detection | ||
| References | ||
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