首页> 外文会议>Asian conference on remote sensing;ACRS >BEST TIMING OF CONTROLLING APPLICATION FOR PECTINOPHORA GOSSYPIELLA (SAUND.) USING REMOTE SENSING
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BEST TIMING OF CONTROLLING APPLICATION FOR PECTINOPHORA GOSSYPIELLA (SAUND.) USING REMOTE SENSING

机译:遥感检测果胶果蝇的最佳应用时机

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Since they are prerequisite to predicting timing of insect life cycle events and to initiating management actions which help the forecasting system in establishment of an IPM program for the control of P. gossypiella, Satellite remote sensing was used in determining the emergence and population density of P. gossypiella; and using the heat unit summation method to expect their population peaks and number of generations that the insect can be expected to have during a specific period of time that can assist in reduce monitoring time and find best timing of applying control measures in cotton fields. This work acts by calculating the average of thermal units in degree-days (dd's) for completion of generation (499.71 degrees-days) considering 12.03 °C as a developmental threshold. We also found that this insect pest completes four main overlapping generations; in addition to the 5th generation. These data indicate that, the best timing for control application against P. gossypiella can easily be calculated and expected.
机译:由于它们是预测昆虫生命周期事件发生时间和启动管理行动的先决条件,这些行动有助于预测系统建立控制疟原虫的IPM程序,因此使用了卫星遥感技术来确定P的出现和种群密度棉酚并使用热量单位求和法来预期昆虫在特定时间段内的种群高峰和世代数,从而有助于减少监测时间并找到在棉田中采取控制措施的最佳时机。这项工作是通过将以12.03°C作为发展阈值来完成发电(499.71度-天)的热量单位的平均天数(dd's)计算得出的。我们还发现,这种害虫完成了四个主要的重叠世代。除了第五代。这些数据表明,可以很容易地计算和预期到防治棉球菌的最佳时机。

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