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低成本声学昆虫探测系统在储粮中的应用性能及对赤拟谷盗(鞘翅目:拟步甲科)和面粉中的谷蠹(鞘翅目:长蠹科)的探测效果。

Performance of a Low-Cost Acoustic Insect Detector System with Sitophilus oryzae (Coleoptera: Curculionidae) in Stored Grain and Tribolium castaneum (Coleoptera: Tenebrionidae) in Flour.

机构信息

United States Department of Agriculture, Agricultural Research Service Center for Medical, Agricultural and Veterinary Entomology (CMAVE), Gainesville, FL.

Department of Public Health, University of Florida, Gainesville, FL.

出版信息

J Econ Entomol. 2020 Dec 9;113(6):3004-3010. doi: 10.1093/jee/toaa203.

DOI:10.1093/jee/toaa203
PMID:32965472
Abstract

Reduction of postharvest losses is gaining increased priority in warm regions where insect infestation may cause rapid deterioration of staple commodities. Acoustic detection can be used to assess the likelihood of insect infestations in bags of grain, flour, and other commodities that are stored in small holdings in developing countries, enabling rapid targeting of treatments. A portable postharvest insect detection system was developed with the goal to provide low-cost capability to acoustically assess infestations in small-scale storage facilities. Electret microphones input pest insect sounds to a 32-bit microcontroller platform that digitized and stored the signals on a digital memory card transferable to a portable laptop computer. The insect sounds then were analyzed by custom-written software that matched their spectra to those of known pests. Infestations of Sitophilus oryzae (L) in 2.6-kg bags could be detected down to densities of 1.9 adults/kg in grain and Tribolium castaneum (Herbst) down to 3.8 adults/kg in flour in laboratory settings. Also, differences in the rates of sounds per insect in treatments with different numbers ranging from 5 to 50 insects suggested that the sound rates of adults of different species at different population densities may be noticeably affected by aggregation pheromones or other behaviorally active semiochemicals. Further testing is needed but previous experience with acoustic detection systems suggests that the prototype has potential for use in small storage facilities where early detection of infestations is difficult to provide.

摘要

在温暖地区,虫害可能导致主要商品迅速恶化,因此减少收获后损失的优先级越来越高。声学检测可用于评估发展中国家小农户储存的谷物、面粉和其他商品袋中虫害发生的可能性,从而能够快速针对虫害进行处理。本研究开发了一种便携式收获后虫害检测系统,旨在为小范围储存设施提供低成本的虫害评估能力。驻极体麦克风将害虫声音输入到 32 位微控制器平台,该平台将信号数字化并存储在可转移到便携式笔记本电脑上的数字存储卡上。然后,通过定制软件对昆虫声音进行分析,该软件将其频谱与已知害虫的频谱相匹配。在实验室环境中,2.6 公斤袋中的米象(Sitophilus oryzae (L))的密度低至 1.9 头/公斤,面粉中的赤拟谷盗(Tribolium castaneum (Herbst))低至 3.8 头/公斤。此外,在处理不同数量的 5 到 50 只昆虫时,每只昆虫的声音率差异表明,不同密度的不同物种成虫的声音率可能会受到聚集信息素或其他行为活性化学生态的明显影响。还需要进一步测试,但以前的声学检测系统经验表明,该原型有望在小范围储存设施中使用,因为在这些设施中,很难进行早期虫害检测。

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