Abstract
The rapid growth in computational density and better computing, as well as the rise of worldwide knowledge transfer, have driven significant technological progress in the field of Biotechnology over the past few years. This is one of the primary technological advances expected to further transform this industry into low-cost single-board computers. So far, there hasn’t been a comprehensive analysis of the current adoption of these devices, as well as a general guide to assist researchers in incorporating them into their study. This study focuses on Raspberry Pi applicability in disciplines such as biotechnology, biosensors, bioprinters, biological, biosignal, bioaerosol, bioengineering, biochemical, biometrics and bioreactor. Since its initial introduction in 2012, the Raspberry Pi has gained popularity among a wide range of disciplines, as well as biologists in the lab, field and classrooms. A wide range of applications are available, from basic solutions such as nest box monitoring, wildlife camera capture, high-throughput behavioral recording, large-scale plant phenotyping, underwater video surveillance, closed-loop operant, to customized custom-built devices such as autonomous ecosystem monitoring. Despite the diversity of its applications, the Raspberry Pi has received only limited attention from the scientific community.
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