Abstract
AbstractBackgroundThe locustsLocusta migratoria migratoria(Orthoptera: Acrididae) is the most destructive agricultural pests worldwide, the population and distribution ofL. migratoria migratoriagrowing rapidly in recent years. It is crucial to find a green, economical way to monitor this insect's population for effective control tactics. In this study, acoustic samples were recorded and analyzed under three different density levels of Asian migratory locustL. migratoria migratoria.ResultsThe results showed that the songs ofL. migratoria migratoriahad a very stable acoustic feature in time domains; then, we used duration of pulse as a tool for identifying and counting the numbers of pulse to classify the population size. After removing the background noises, an automatic density classification and monitoring system was established based on the backpropagation (BP) neural network. The field sample test showed that the accuracy of the density level recognition reached 96.67%.ConclusionsThe results indicated that the calling songs of insects could be an effective character to distinguish population density level of locust plagues, and it could be potentially used as a green and environmental protection solution in monitoring the dynamics of locust plagues and other acoustic agriculture pests.
Highlights
The locusts Locusta migratoria migratoria (Orthoptera: Acrididae) is the most destructive agricultural pests worldwide, the population and distribution of L. migratoria migratoria growing rapidly in recent years
In order to test whether the intraspecies acoustic characters could be used to estimate the population density of a particular species, the calling samples of L. migratoria migratoria in three different density levels were recorded and analyzed, and an automatic density classification and monitoring system was established based on the backpropagation (BP) neural network
Our result suggested a stable acoustic trait in L. migratoria migratoria, which means that these methods could be used in L. migratoria migratoria and in other acoustic insects such as katydids, crickets, and cicadas
Summary
The locusts Locusta migratoria migratoria (Orthoptera: Acrididae) is the most destructive agricultural pests worldwide, the population and distribution of L. migratoria migratoria growing rapidly in recent years. It is crucial to find a green, economical way to monitor this insect's population for effective control tactics. The various subspecies of migratory locusts such as Locusta migratoria migratoria (Orthoptera: Acrididae) is the most destructive agricultural pests worldwide. Knowing the dynamics of pest populations is crucial in determining effective control tactics, when to initiate the tactics, and the tactics, once implemented, are successful. The application of acoustic signals in monitoring pest populations has inherent advantages: It only needs some acoustic sensors set in the field with connection to a computer which is already programmed, and it is more economic than the satellite sensor-based monitoring system. The application of acoustic signals is a pollution-free and environment-friendly method compared with some chemical methods such as pheromone traps
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