Identification and counting of rice light-trap pests are important to monitor rice pest population dynamics and make pest forecast. Identification and counting of rice light-trap pests manually is time-consuming, and ...Identification and counting of rice light-trap pests are important to monitor rice pest population dynamics and make pest forecast. Identification and counting of rice light-trap pests manually is time-consuming, and leads to fatigue and an increase in the error rate. A rice light-trap insect imaging system is developed to automate rice pest identification. This system can capture the top and bottom images of each insect by two cameras to obtain more image features. A method is proposed for removing the background by color difference of two images with pests and non-pests. 156 features including color, shape and texture features of each pest are extracted into an support vector machine （SVM） classifier with radial basis kernel function. The seven-fold cross-validation is used to improve the accurate rate of pest identification. Four species of Lepidoptera rice pests are tested and achieved 97.5% average accurate rate.展开更多
Wettability and the light-trapping effect of FeSe2 particles with a micro-nano hierarchical structure have been inves- tigated. Particles are synthesized by an improved solvothermal method, wherein hexadecyl trimetbyl...Wettability and the light-trapping effect of FeSe2 particles with a micro-nano hierarchical structure have been inves- tigated. Particles are synthesized by an improved solvothermal method, wherein hexadecyl trimetbyl ammonium bromide （CTAB） is employed as a surfactant. After modifying the particles with heptadecafluorodecyltrimethoxy-silane （HTMS）, we find that the water contact angle （WCA） of the FeSe2 particles increases by 6.1~ and the water sliding angle （WSA） decreases by 2.5~ respectively, and the diffuse reflectivity decreases 29.4% compared with similar FeSe2 particles synthe- sized by the conventional method. The growth process of the particles is analyzed and a growth scenario is given. Upon altering the PH values of the water, we observe that the superhydrophobic property is maintained quite consistently across a wide PH range of 1-14. Moreover, the modified particles were also found to be superoleophobic. To the best of our knowledge, there is no systematic research on the wettability of FeSe2 particles, so our research provides a reference for other researchers.展开更多
枸杞蛀果蛾(Scrobipalpa erichiodes Bidzilya et Li)是枸杞的重要害虫,以幼虫钻蛀枸杞花蕾或果实为害。由于幼虫为害过程和栖息场所隐蔽,仅成虫期暴露,化学防治困难。作者采用便携悬挂式太阳能光控型诱虫试验装置,研究红色、橙色、黄...枸杞蛀果蛾(Scrobipalpa erichiodes Bidzilya et Li)是枸杞的重要害虫,以幼虫钻蛀枸杞花蕾或果实为害。由于幼虫为害过程和栖息场所隐蔽,仅成虫期暴露,化学防治困难。作者采用便携悬挂式太阳能光控型诱虫试验装置,研究红色、橙色、黄色、绿色、青色、蓝色、紫色7种不同波段LED光源对枸杞蛀果蛾的诱集效果,并利用诱捕效果高的紫色光源灯具监测种群发生动态。结果表明,紫色光源灯具诱捕效果显著好于其他6种光源;与紫色光源波长接近的青色和蓝色也有一定的诱捕效果,但远不及紫色光源。紫色是枸杞蛀果蛾的敏感光源。枸杞蛀果蛾2022年越冬代羽出高峰期在4月下旬,诱虫量高;6月初出现第2个高峰,但虫量较小。展开更多
基金support of the National Natural Science Foundation of China (31071678)the Major Scientific and Technological Special of Zhejiang Province, China (2010C12026)+1 种基金the Ningbo Science and Technology Project, China (201002C1011001)Xiangshan Science and Technology Project, China(2010C0001)
文摘Identification and counting of rice light-trap pests are important to monitor rice pest population dynamics and make pest forecast. Identification and counting of rice light-trap pests manually is time-consuming, and leads to fatigue and an increase in the error rate. A rice light-trap insect imaging system is developed to automate rice pest identification. This system can capture the top and bottom images of each insect by two cameras to obtain more image features. A method is proposed for removing the background by color difference of two images with pests and non-pests. 156 features including color, shape and texture features of each pest are extracted into an support vector machine （SVM） classifier with radial basis kernel function. The seven-fold cross-validation is used to improve the accurate rate of pest identification. Four species of Lepidoptera rice pests are tested and achieved 97.5% average accurate rate.
基金Project supported by the Natural Science Foundation of Anhui Province, China （Grant No, 12010202035） and the National Natural Science Foundation of China （Grant No. 51272246）.
文摘Wettability and the light-trapping effect of FeSe2 particles with a micro-nano hierarchical structure have been inves- tigated. Particles are synthesized by an improved solvothermal method, wherein hexadecyl trimetbyl ammonium bromide （CTAB） is employed as a surfactant. After modifying the particles with heptadecafluorodecyltrimethoxy-silane （HTMS）, we find that the water contact angle （WCA） of the FeSe2 particles increases by 6.1~ and the water sliding angle （WSA） decreases by 2.5~ respectively, and the diffuse reflectivity decreases 29.4% compared with similar FeSe2 particles synthe- sized by the conventional method. The growth process of the particles is analyzed and a growth scenario is given. Upon altering the PH values of the water, we observe that the superhydrophobic property is maintained quite consistently across a wide PH range of 1-14. Moreover, the modified particles were also found to be superoleophobic. To the best of our knowledge, there is no systematic research on the wettability of FeSe2 particles, so our research provides a reference for other researchers.
文摘枸杞蛀果蛾(Scrobipalpa erichiodes Bidzilya et Li)是枸杞的重要害虫,以幼虫钻蛀枸杞花蕾或果实为害。由于幼虫为害过程和栖息场所隐蔽,仅成虫期暴露,化学防治困难。作者采用便携悬挂式太阳能光控型诱虫试验装置,研究红色、橙色、黄色、绿色、青色、蓝色、紫色7种不同波段LED光源对枸杞蛀果蛾的诱集效果,并利用诱捕效果高的紫色光源灯具监测种群发生动态。结果表明,紫色光源灯具诱捕效果显著好于其他6种光源;与紫色光源波长接近的青色和蓝色也有一定的诱捕效果,但远不及紫色光源。紫色是枸杞蛀果蛾的敏感光源。枸杞蛀果蛾2022年越冬代羽出高峰期在4月下旬,诱虫量高;6月初出现第2个高峰,但虫量较小。
