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葡萄套袋智能機(jī)器人系統(tǒng)設(shè)計(jì)與目標(biāo)提取
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“十二五”國(guó)家科技支撐計(jì)劃資助項(xiàng)目(2011BAD20B07);國(guó)家高技術(shù)研究發(fā)展計(jì)劃(“863”計(jì)劃)資助項(xiàng)目(SS2012AA041507);中國(guó)農(nóng)業(yè)大學(xué)基本科研業(yè)務(wù)費(fèi)研究生科研創(chuàng)新專項(xiàng)資助項(xiàng)目(2012YJ106)


Design and Target Extraction of Intelligent Grape Bagging Robot
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    摘要:

    為提高葡萄套袋自動(dòng)化智能化水平,、降低人工套袋勞動(dòng)強(qiáng)度,,研制了葡萄套袋機(jī)器人系統(tǒng),。針對(duì)棚架葡萄種植的園藝特點(diǎn),,設(shè)計(jì)了基于圓柱坐標(biāo)的機(jī)器人系統(tǒng)本體結(jié)構(gòu),,針對(duì)葡萄套袋機(jī)器人提取目標(biāo)圖像運(yùn)算量大、耗時(shí)多等問題,,提出了一種基于遺傳算法的目標(biāo)特征提取算法,,該方法無(wú)需彩色模型轉(zhuǎn)換,時(shí)間復(fù)雜性較形態(tài)學(xué)算法及BP神經(jīng)網(wǎng)絡(luò)分割算法速度快,,可對(duì)葡萄進(jìn)行快速目標(biāo)特征提取及識(shí)別,。葡萄套袋機(jī)器人試驗(yàn)證明:在導(dǎo)航車速度為0.3m/s情況下,葡萄目標(biāo)識(shí)別率達(dá)95%,,葡萄目標(biāo)識(shí)別平均耗時(shí)136ms,;機(jī)器人套袋成功率達(dá)85%,單串葡萄套袋平均耗時(shí)39.6s,。

    Abstract:

    In order to improve the intelligent level of grape bagging and reduce the amount of human labor, a robot system for grape bagging was developed. The hardware structure of robot system was designed based on cylindrical coordinate. A method was proposed in order to get target feature extraction and recognition method by genetic algorithm. Compared with the proposed algorithm, the segmentation method using morphology algorithm and BP neural network under the HSI color space needed more time. The result of experiments showed that when the velocity of platform was 0.3m/s, the recognition rate for grape was up to 95% and the average time-consuming was about 136ms. The grape bagging robot success rate was 85% and the average time-consuming for a cluster of grapes was 39.6s.

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張凱,趙麗寧,孫哲,耿長(zhǎng)興,李偉.葡萄套袋智能機(jī)器人系統(tǒng)設(shè)計(jì)與目標(biāo)提取[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp1):240-246. Zhang Kai, Zhao Lining, Sun Zhe, Geng Changxing, Li Wei. Design and Target Extraction of Intelligent Grape Bagging Robot[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):240-246.

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  • 在線發(fā)布日期: 2013-10-22
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