| Full text | |
| Author(s): |
Lemos Escola, Joao Paulo
[1, 2]
;
de Souza, Uender Barbosa
[3, 4]
;
Guido, Rodrigo Capobianco
[5]
;
da Silva, Ivan Nunes
[1]
;
Freitas, Jovander da Silva
[2]
;
Oliveira, Lucas de Araujo
[2]
Total Authors: 6
|
| Affiliation: | [1] Univ Sao Paulo, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP - Brazil
[2] Inst Fed Sao Paulo, Av C-1 250, BR-14781502 Barretos, SP - Brazil
[3] Inst Fed Goias, Rua 75 46, BR-74055110 Goiania, Go - Brazil
[4] Univ Fed Goias, Av Univ 1488, BR-74605010 Goiania, Go - Brazil
[5] Unesp Univ Estadual Paulista Sao Paulo State Univ, Inst Biociencias Letras & Ciencias Exatas, Rua Cristovao Colombo 2265, BR-15054000 Sao Jose Do Rio Preto, SP - Brazil
Total Affiliations: 5
|
| Document type: | Journal article |
| Source: | INTERNET OF THINGS; v. 17, MAR 2022. |
| Web of Science Citations: | 0 |
| Abstract | |
The Internet of Things (IoT) is increasingly present in people's daily lives and in many projects involving Smart Farm monitoring. Digital processing of audio signals enables detection and monitoring of species that emit sounds in crop fields. This paper aims to show a case study of a mesh network format cicada monitoring system in coffee plantations. The system, manages the sending, receiving, controlling and caching of data traveling between nodes deployed in the field. Laboratory tests have shown promising results for the intended application. (AU) | |
| FAPESP's process: | 19/04475-0 - Paraconsistent Feature Analysis of Speech Signals: fighting the voice spoofing attacks |
| Grantee: | Rodrigo Capobianco Guido |
| Support Opportunities: | Regular Research Grants |