本文選題：玉米籽粒 + 自動(dòng)考種　； 參考：《農(nóng)業(yè)機(jī)械學(xué)報(bào)》2017年12期

【摘要】：考種是制約育種效率的關(guān)鍵環(huán)節(jié)。玉米高通量考種過(guò)程,存在籽粒堆積和粘連現(xiàn)象,影響籽�？挤N參數(shù)的提取。本文結(jié)合玉米高通量自動(dòng)考種需求,設(shè)計(jì)了籽�？挤N信息獲取裝置。通過(guò)分析堆積籽�；匦\(yùn)動(dòng)過(guò)程的受力情況并根據(jù)試驗(yàn)情況確定振動(dòng)平臺(tái)回旋速度,實(shí)現(xiàn)籽粒的平鋪攤種。在此基礎(chǔ)上,針對(duì)粘連籽粒圖像提出了一種先分割后融合的改進(jìn)分水嶺算法,該方法通過(guò)比較相鄰分割區(qū)域極小值與最小分水嶺的差值與設(shè)定的閾值T,進(jìn)行鄰域融合,對(duì)過(guò)分割區(qū)域進(jìn)行合并,實(shí)現(xiàn)粘連籽粒的準(zhǔn)確分割,分割完成后,統(tǒng)計(jì)籽粒個(gè)數(shù),并基于Graham掃描法建立單個(gè)籽粒的最小外接矩形,獲取籽粒長(zhǎng)寬參數(shù)。在構(gòu)建的玉米籽粒自動(dòng)考種裝置上進(jìn)行動(dòng)態(tài)試驗(yàn),結(jié)果表明,本文所提出的方法可實(shí)現(xiàn)玉米粘連籽粒的準(zhǔn)確分割,單穗玉米籽粒計(jì)數(shù)正確率不低于98.05%,籽粒平均長(zhǎng)寬與人工測(cè)量結(jié)果的決定系數(shù)R~2在0.97以上,滿足自動(dòng)考種在線檢測(cè)的需求。
[Abstract]:Seed examination is the key link to restrict breeding efficiency. In the process of high flux maize seed examination, there exists the phenomenon of grain accumulation and adhesion, which affects the extraction of seed parameters. In this paper, according to the requirement of maize high throughput automatic seed testing, a device for obtaining seed information was designed. Based on the analysis of the stress on the rotation motion of the accumulative grains and the determination of the vibration platform rotation velocity according to the experimental conditions, the seed spreading and spreading were realized. On this basis, an improved watershed algorithm based on segmentation and fusion is proposed for the conglutinated grain image. By comparing the difference between the minimum value of the adjacent segmentation region and the minimum watershed value and the set threshold value T, the proposed algorithm can be used for neighborhood fusion. Combining the over-segmented regions to realize the accurate segmentation of conglutinated grains, the number of grains is counted after the segmentation is completed, and the minimum outer rectangle of a single grain is established based on Graham scanning method, and the parameters of grain length and width are obtained. Dynamic experiments were carried out on the automatic seed testing device for maize grains. The results showed that the method proposed in this paper could achieve the accurate segmentation of corn grains. The accuracy rate of grain counting of single ear maize is not lower than 98.05, and the determination coefficient Rn2 of the average length and width of grain and the result of manual measurement is more than 0.97, which can meet the requirement of automatic seed on-line detection.
【作者單位】： 北京農(nóng)業(yè)智能裝備技術(shù)研究中心;國(guó)家農(nóng)業(yè)智能裝備工程技術(shù)研究中心;農(nóng)業(yè)部農(nóng)業(yè)信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;
【基金】：北京市科技計(jì)劃項(xiàng)目(D151100004215002) 國(guó)家博士后基金項(xiàng)目(2015M581019)
【分類號(hào)】：S513;TP391.41

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本文編號(hào)：1896943