An Agricultural Spraying Robot Based on the Machine Vision
Abstract
Accurate target spraying is a key technology in modern and intelligent agriculture. For solving the problems of pesticide waste and poisoning in the spraying process, a spraying robot based on binocular machine vision was proposed in this paper. A digital signal processor was used to identify and locate tomatoes as well as to control the nozzle spray. A stereoscopic vision model was established, and color normalization, 2G-R-B, was adopted to implement background segmentation between plants and soil. As for the tomatoes and plants, depth information and circularity depended on the nozzle’s target, and the plant shape area determined the amount of pesticide. Experiments shown that the recognition rate of this spraying robot was up to 92.5% for tomatoes.
Full Text:
PDFDOI: https://doi.org/10.22158/asir.v1n2p80
Refbacks
- There are currently no refbacks.
Copyright (c) 2017 Applied Science and Innovative Research
Copyright © SCHOLINK INC. ISSN 2474-4972 (Print) ISSN 2474-4980 (Online)