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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Freitas, Heitor ; Faical, Bruno S. ; Cardoso e Silva, Alef Vinicius ; Ueyama, Jo
Total Authors: 4
Document type: Journal article
Source: COMPUTERS AND ELECTRONICS IN AGRICULTURE; v. 173, JUN 2020.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry
Grantee:Francisco Louzada Neto
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 18/17335-9 - Exploring DLTs and Computational Intelligence in IoT
Grantee:Jó Ueyama
Support Opportunities: Regular Research Grants
FAPESP's process: 18/06228-7 - Detection of patterns and anomalies in medical data using Mathematical Modeling
Grantee:Bruno Squizato Faiçal
Support Opportunities: Scholarships in Brazil - Post-Doctoral