A Case Study of Wavelets and SVM Application in Coffee Agriculture: Detecting Cicadas Based on Their Acoustic and Image Patterns

Author:

Paulo Lemos Escola João,Capobianco Guido Rodrigo,Moraes Cardoso Alexandre,Henrique Bottura Maccagnan Douglas,Marcelo Ribeiro João,Ricardo Ferreira Cardoso José

Publisher

IntechOpen

Reference18 articles.

1. Mankin RW et al. Perspective and promise: A century of insect acoustic detection and monitoring. American Entomologist. 2011;57(1):30-44

2. Martinelli NM, Zucchi RA. Cicadas (Hemiptera: Cicadidae: Tibicinidae) associated with coffee: Distribution, hosts and key to species (in Portuguese). Anais da Sociedade Entomolgica do Brasil. 1997:133-143

3. De Souza JC. Coffee Cicada in Minas Gerais: Historical, Reconnaissance, Biology, Damage and Control (in Portuguese). Belo Horizonte: EPAMIG; 2007

4. Maccagnan DHB. Cicada (Hemiptera: Cicadidae): Emergence, Acoustic Behavior and Sound Trap Development (in Portuguese) [Tese de Doutorado. PhD thesis]. Faculdade de Filosofia, Ciências e Letras da Universidade de São Paulo; 2008

5. Haykin S. Neural Networks and Learning Machines. HAYKIN, Simon. 3/E. India: Pearson Education; 2010

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