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果樹葉片霧滴沉積量檢測系統(tǒng)設計與試驗
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國家重點研發(fā)計劃項目(2016YFD0200700-2016YFD0200706)


Detecting System Design of Droplet Deposition on Fruit Leaves
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    摘要:

    為了獲取植保無人機噴藥后霧滴在果樹葉片表面的沉積量,設計了面向植保無人機果樹低空施藥的果樹葉片霧滴沉積量檢測系統(tǒng)。該系統(tǒng)由LWS型葉面濕度傳感器、數據傳輸模塊、上位機檢測軟件組成。通過LWS型葉面濕度傳感器的標定試驗,建立了電導率為553μS/cm自來水、860μS/cm甲基硫菌靈溶液、1525μS/cm磷酸二氫鉀葉面肥溶液的回歸方程,通過分光光度計驗證試驗驗證了方程的準確性。之后,建立基于ZigBee的傳感器系統(tǒng)數據無線傳輸網絡。同時,利用Qt編寫了具有數據分析和顯示功能的上位機程序,建立了完整的果樹葉片霧滴沉積量檢測系統(tǒng)。最后,利用WSZ-4X型植保無人機在櫻桃果園中進行了檢測系統(tǒng)與水敏紙的對比試驗。對比結果顯示,使用兩種方法獲得的霧滴沉積密度曲線的擬合度可達0.9266。對于單個測量點的霧滴沉積密度,其平均誤差為22.8%。在果園中進行試驗時,受風速和無人機氣流等環(huán)境因素的影響,傳感器和水敏紙的霧滴分布會出現一定的差異,忽略環(huán)境因素影響,可認為兩種方法在櫻桃果園中測量得到的霧滴沉積密度一致性較好,而使用果樹葉片霧滴沉積量檢測系統(tǒng)可以更加快速、方便、實時地采集農藥霧滴在葉面上的沉積量。

    Abstract:

    In order to obtain the deposition value of the droplets on the leaves of the fruit trees after spraying, a detecting system of droplet deposition on fruit leaves used in low altitude pesticide spraying was developed. The system consisted of dielectric leaf wetness sensor, data transmission module and host computer detection software. Through the calibration experiment of dielectric leaf wetness sensor, the regression equations of three solutions, which were tap water with 553μS/cm of EC, thiophonate-methyl with 860μS/cm of EC, and KH2PO4 foliar fertilizer with 1525μS/cm of EC, were established. The accuracies of the regression equations were verified by spectra photometry. Then, a wireless data transmission sensor system based on ZigBee was developed. Moreover, the Qt platform was used to write the host computer program including data analysis and display functions. Finally, the contrast test between water sensitive paper and this system was carried out by using WSZ-4X type plant protection UAV in a cherry orchard. The results showed that the coefficient of correlation between the density values of the droplet deposition obtained by two methods was 0.9626. For a single measurement point, the average error of the droplet deposition density was 22.8%. In the orchard experiments, under the influence of the wind speed and the unmanned aerial vehicle air flow and other environmental factors, the droplet distribution on the sensor and the water sensitive paper appeared certain differences. The consistency of the droplet deposition density obtained by two methods was preferable if the influence of environmental factors was ignored. However, the droplet deposition on leaves was acquired quickly, conveniently, timely and simply by using the developed system.

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楊瑋,郝子源,李民贊,張旭.果樹葉片霧滴沉積量檢測系統(tǒng)設計與試驗[J].農業(yè)機械學報,2017,48(s1):8-14. YANG Wei, HAO Ziyuan, LI Minzan, ZHANG Xu. Detecting System Design of Droplet Deposition on Fruit Leaves[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(s1):8-14.

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  • 收稿日期:2017-07-10
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  • 在線發(fā)布日期: 2017-12-10
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