Characterization of Sound Spectrum based on Natural Animals as an Alternative Source of Harmonic System Audio Bio Stimulators for Increasing Productivity of Food Plants

Abstract

Natural Animal Sound Spectrum Characterization based on Fourier analysis is a undamental scientific study of the spectrum of natural animal sounds that can be used as a stimulator of growth and productivity in food intensification. The results of characterization are very useful for adding scientific treasures in the field of biophysics, especially to support the use of natural animal sounds as stimulators of growth and productivity of food crops through spectrum analysis based on Fourier analysis so that it has a strong theoretical basis to be developed into an applied industry in the field of food intensification. Natural animal sound spectrum is obtained by recording animal sounds naturally in nature by using a voice recorder. Furthermore, the sound of these natural animals analyzed their spectrum characteristics using Adobe Audition to determine the peak frequency produced. Sound spectrum characterization which has peak frequency sonic bloom between 3000Hz - 5000 Hz is made as an audio stimulator for growth and productivity of food crops. From various 27 sources of animal sounds recorded and analyzed, there are 17 types of animals that have frequency peaks in range sonic blooms (3000-5000 Hz) and can be produced into stimulators and 1 combined stimulator. While the results of the sound timbre analysis of each animal has a frequency range including: 1-1000 Hz a number of 6 animals, 1000-2000 Hz of 8 animals, 2000-3000 Hz a number of 14 animals, 3000-4000 Hz a number of 12 animals, 4000-5000 Hz is 2 animals, and 5000-6000 Hz is 4 animals.