Bio-hybrid Drone

A bio-hybrid drone is an aerial system that combines engineered components with living biological material or organisms to achieve functions that conventional drones may perform less efficiently. Its operation relies on integrating biological capabilities, such as sensing, movement, or adaptive responses, with electronics, sensors, communication systems, and mechanical structures that provide control and support. In engineering, bio-hybrid drones can inform new approaches to aerial mobility, environmental monitoring, navigation, and operation in complex settings. They also provide a platform for studying how biological and artificial systems can work together, potentially enabling smaller, more adaptable, and energy-efficient robotic vehicles.

Bio-hybrid Drone - Related Videos

Research

JoVE Journal - Engineering
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Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

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Cited by 13 •

2021

This study introduces experimental protocols for a bio-hybrid odor-detecting drone based on silkmoth antennae. The operation of an experimental electroantennogram device with silkmoth antennae is presented, in addition to the structure of a bio-hybrid drone designed for odor source localization using the spiral-surge algorithm.

Research

JoVE Journal - Engineering

Development of a Bio-Hybrid Mosquito Stinger-Based Atomic Force Microscopy Probe

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Cited by 1 •

2024

Quantitative and controlled investigations into insect biting behaviors are crucial for devising effective strategies to combat vector-borne diseases. In this context, a method for fabricating a bio-hybrid atomic force microscopy (AFM) probe is introduced.

Research

JoVE Journal - Environment
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Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

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Cited by 1 •

2025

Recent advancements in remotely piloted aircraft systems (RPAS) allow sub-meter resolution, ideal for forest recovery monitoring. Integrating artificial intelligence (AI) enables deeper insights from large remotely sensed datasets. This protocol improves monitoring by supporting more efficient assessment and management of forested lands recovering from disturbance.

Research

JoVE Journal - Environment
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Semi-Automated Method for Mapping and Classifying Boreal Coastal Wetland Plant Communities using Drone and Ground Data

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2026

The protocol comprises four integrated phases: Unmanned Aerial Vehicle (UAV) survey, ground-truth data collection, vegetation index computation, and AI-assisted classification and mapping of coastal wetland plant communities. The result is a multilayered geospatial dataset that supports applications in ecology, environmental monitoring, and decision-making for coastal wetland habitat conservation and management.

Education

JoVE Core - Biology

Hybrid Zones

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2026

Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.Gene flow and natural selection are evolutionary mechanisms that shape the outcome of a hybrid zone. Gene flow...

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