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雜草信息實(shí)時獲取技術(shù)與設(shè)備研究進(jìn)展
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國家自然科學(xué)基金資助項(xiàng)目(31272056);國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2012AA101902、2012AA10A503)


Advance Techniques and Equipments for Real-time Weed Detection
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    摘要:

    雜草信息的實(shí)時獲取技術(shù)是田間雜草精準(zhǔn)控制研究的首要問題,雜草實(shí)時獲取設(shè)備是制約精準(zhǔn)除草作業(yè)實(shí)現(xiàn)的瓶頸。綜述了基于光譜、圖像和光譜成像技術(shù)的雜草實(shí)時獲取技術(shù)與設(shè)備的國內(nèi)外研究現(xiàn)狀,以促進(jìn)精準(zhǔn)雜草管理技術(shù)在我國的應(yīng)用和發(fā)展?;诠庾V的雜草信息獲取方法較適用于實(shí)時防除作物出苗前的雜草,國外已有WeedSeeker、Weed-IT等雜草傳感器?;趫D像的雜草信息獲取方法較適用于識別行間雜草,國外已有Autopilot、Cam Pilot、Robocrop等視覺導(dǎo)航產(chǎn)品和Robocrop InRow機(jī)械除草機(jī)防除行內(nèi)雜草?;诠庾V成像的雜草信息獲取方法較適用于識別行內(nèi)雜草,中、澳正聯(lián)合研發(fā)微光子植物判別和雜草控制傳感器。需要繼續(xù)深入研究在復(fù)雜的開放式非結(jié)構(gòu)的農(nóng)田環(huán)境中,快速、準(zhǔn)確地實(shí)時獲取農(nóng)田雜草信息技術(shù)。

    Abstract:

    Real-time infield weed detection is the most important technique of the precision infield weeds control. The real-time weed detection equipment is a key of the site specific weed management. Currently research is being carried out relating to weed sensor based on the spectroscopic, imaging and spectral imaging techniques. Theses advance technologies and equipments were reviewed for application them in China. The weed detection technique based on spectroscopic is suitable for classifying weeds from soil background without crop seedlings, such as the WeedSeeker and Weed-IT. The weed detection technique based on imaging is appropriate for discriminating inter-row weeds, including the Robocrop InRow mechanical weed control machine and the vision navigation product of the Autopilot, Cam Pilot and Robocrop, etc. The weed detection technique based on spectral imaging is more appropriate for distinguishing intra-row weeds, and a joint research on microphotonic plant discrimination and weed control sensor has been done by China and Australia. It is still a continuous project that how to detect infield weeds in real-time and specific under the complex and open field environment.

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毛文華,張銀橋,王輝,趙博,張小超.雜草信息實(shí)時獲取技術(shù)與設(shè)備研究進(jìn)展[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(1):190-195. Mao Wenhua, Zhang Yinqiao, Wang Hui, Zhao Bo, Zhang Xiaochao. Advance Techniques and Equipments for Real-time Weed Detection[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(1):190-195.

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  • 在線發(fā)布日期: 2012-12-31
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