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基于土壤基質(zhì)的播種精度檢測(cè)試驗(yàn)
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國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2010AA101401)和國(guó)家自然科學(xué)基金資助項(xiàng)目(31101079)


Seeding Accuracy Test Experiment Based on Soil Substrate
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    摘要:

    研究了一種基于土壤基質(zhì)的播種精度檢測(cè)方法。運(yùn)動(dòng)的土槽臺(tái)車搭載播種機(jī)將種子播種到土槽土壤上,,同時(shí)機(jī)器視覺(jué)系統(tǒng)動(dòng)態(tài)采集序列圖像,。采用編碼器和PLC等實(shí)現(xiàn)臺(tái)車運(yùn)動(dòng)距離檢測(cè),,控制觸發(fā)面陣攝像機(jī)采集序列圖像,,完成序列圖像的硬件拼接,;再通過(guò)圖像處理拼接算法完成種子的目標(biāo)識(shí)別和序列圖像的拼接,,得出播種機(jī)播種精度結(jié)果,。試驗(yàn)結(jié)果表明:匹配粒距率達(dá)85%以上,,正確粒距率達(dá)70%以上,;經(jīng)多次重復(fù)試驗(yàn)后,系統(tǒng)檢測(cè)的絕對(duì)誤差在4%以內(nèi),。

    Abstract:

    A seeding accuracy test experiment based on soil substrate was investigated. The moving trolley carried the sowing seeders. Meanwhile, the machine vision system sequential images dynamically were collected. Using encoder and PLC etc., it realized to control camera to collect sequential images through detecting the motion distance of trolley, which realized hardware splicing of the sequential images. In addition of splicing algorithm of image processing, the identification of seeds and the total splicing of the sequential images were completed. Experimental results showed that the matching rate of seed spacing was above 85%, and the accuracy rate of seed spacing was more than 70%. The experiment was repeated many times. The absolute error of the seeding accuracy data was within 4%.

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張俊雄,馬锃宏,李偉,宋鵬,董向前.基于土壤基質(zhì)的播種精度檢測(cè)試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2012,43(12):62-66,71. Zhang Junxiong, Ma Zenghong, Li Wei, Song Peng, Dong Xiangqian. Seeding Accuracy Test Experiment Based on Soil Substrate[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(12):62-66,71.

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  • 在線發(fā)布日期: 2012-12-13
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