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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control

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Autor(es):
Freitas, Heitor ; Faical, Bruno S. ; Cardoso e Silva, Alef Vinicius ; Ueyama, Jo
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: COMPUTERS AND ELECTRONICS IN AGRICULTURE; v. 173, JUN 2020.
Citações Web of Science: 0
Resumo

Exotic pests can cause US\$1.4 trillion financial damage per year and threaten food security. Biological control is a natural phenomenon that regulates the number of plants and animals by means of natural enemies. The use of unmanned aerial vehicles (UAV) as a support platform for biological control is promising, since it can reduce operating costs and transposition of natural barriers, such as rivers and venomous animals. However, capsules with natural enemies are spread by a remotely piloted UAV and autonomous UAVs in a zigzag pattern, which incur low coverage efficiency and cannot cover areas of any shape. This article proposes an algorithm that calculates capsule deposition sites of areas of any shape. In the most complex situation, the algorithm showed 1.54% more of effectively covered area, 9.54% higher coverage efficiency, and 104.88% lower inefficiency, guaranteed 7.16% protection of the edge region, and required 13.56% of released capsules. Therefore, UAVs can be used for an efficient distribution of capsules for biological control in areas of any shape. Their main impacts are potential cost savings by the release of fewer capsules and better coverage of the border of the crop field. (AU)

Processo FAPESP: 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria
Beneficiário:José Alberto Cuminato
Linha de fomento: Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs
Processo FAPESP: 18/17335-9 - Explorando DLTs e a inteligência computacional em IoT
Beneficiário:Jó Ueyama
Linha de fomento: Auxílio à Pesquisa - Regular
Processo FAPESP: 18/06228-7 - Detecção de padrões e anomalias em dados médicos usando Modelagem Matemática
Beneficiário:Bruno Squizato Faiçal
Linha de fomento: Bolsas no Brasil - Pós-Doutorado