Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c) Mesquita, Geison P. et al., 2021
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/184295

Steps to build a DIY low-cost fixed-wing drone for biodiversity conservation

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Despite the proved usefulness of drones in biodiversity studies, acquisition costs and difficulties in operating, maintaining and repairing these systems constrain their integration in conservation projects, particularly for low-income countries. Here we present the steps necessary to build a low-cost fixed-wing drone for environmental applications in large areas, along with instructions to increase the reliability of the system and testing its performance. Inspired by DIY (Do It Yourself) and open source models, this work prioritizes simplicity and accounts for cost-benefit for the researcher. The DIY fixed-wing drone developed has electric propulsion, can perform pre-programmed flight, can carry up to 500 g payload capacity with 65 minutes flight duration and flies at a maximum distance of 20 km. It is equipped with a RGB (Red, Green and Blue) sensor capable of obtaining 2.8 cm per pixel Ground Sample Distance (GSD) resolution at a constant altitude of 100 m above ground level (AGL). The total cost was $995 which is substantially less than the average value of similar commercial drones used in biodiversity studies. We performed 12 flight tests in auto mode using the developed model in protected areas in Brazil, obtaining RGB images that allowed us to identify deforestation spots smaller than 5 m2 and medium-sized animals. Building DIY drones requires some technical knowledge and demands more time than buying a commercial ready-to-fly system, but as proved here, it can be less expensive, which is often crucial in conservation projects

Subject (English)

Citation

Citation

MESQUITA, Geison P., et al. Steps to build a DIY low-cost fixed-wing drone for biodiversity conservation. PLoS One. 2021. Vol. 16, num. 8, pags. e0255559. ISSN 1932-6203. [consulted: 7 of June of 2026]. Available at: https://hdl.handle.net/2445/184295

Export metadata

JSON - METS

Share record