SILs-ICSV dataset(video data)

Solar insecticidal lamps are only a kind of green, low-carbon, non-polluting physical plant protection equipment that can effectively eliminate phototropic pests. In addition, the insecticidal lamp's statistics of pest population density is an essential task. Determining the population density of the farmland area is vital to the precise application of medicine. The insecticidal lamp will kill the number of pests each night as a measure of the population density of the farmland area indicators. Existing insecticidal counting methods are based on voltage counting, but voltage counting is prone to repeat counting; to solve the problem, we propose to use the raw sound data when the insecticidal is discharged to analyze the insecticidal counting methods, which can significantly reduce the repeat counting data. In addition, the simultaneous voltage pulse data and insecticidal discharge sound machine learning can improve the robustness of its method, which is suitable for application on top of solar insecticidal lamps.