HIGHLIGHTS
SUMMARY
Real-time analysis of data from recording devices is increasingly becoming a branch of ecological research, with multiple research projects using low-cost microcontrollers and other expensive programmable devices to broadcast the environmental data for analysis. Although there are several promising techniques for the development of low-cost customizable acoustic sensors (e_g, AudioMoth and Solo ) and the use of smartphones as acoustic sensors for citizen science. This portable prototype can run lite machine_learning algorithms, as it can send data through Long Range (LoRa) technology. The bioacoustic procedure identifies the species by utilizing audio features . . .
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