Results 121 to 130 of about 90,527 (273)
Open Hardware for Microfluidics: Exploiting Raspberry Pi Singleboard Computer and Camera Systems for Customisable Laboratory Instrumentation. [PDF]
Biosensors (Basel), 2023 Sarıyer RM, Edwards AD, Needs SH.
europepmc +1 more source
Safety Science and Technology, EarlyView.A multinode wearable system tailored for firefighters is presented, featuring LoRa‐BLE heterogeneous communication and edge‐side deep learning. It integrates a lightweight 1D‐CNN for real‐time posture recognition and an adaptive Physiological Strain Index (aPSI) model, ensuring reliable status monitoring and safety warning in complex fireground ...
Chongyuan Ni +8 more
wiley +1 more source
Low-Cost Sensor for Lycopene Content Measurement in Tomato Based on Raspberry Pi 4. [PDF]
Plants (Basel), 2023 Villaseñor-Aguilar MJ +5 more
europepmc +1 more source
Wildlife Biology, EarlyView.The shift to ‘close to nature forestry' as the dominating forestry regime in western‐European forests has resulted in increasing timber volume and denser forests with negative effects on photophilic species. Hence, there is an increasing focus on active habitat management measures to support these species.
Maria Kochs +6 more
wiley +1 more source
Wildlife Biology, EarlyView.Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Evaluating Plant Drought Resistance with a Raspberry Pi and Time-lapse Photography. [PDF]
Bio Protoc, 2023 Ginzburg DN, Rhee SY.
europepmc +1 more source
Ball Detection Using Deep Learning Implemented on an Educational Robot Based on Raspberry Pi. [PDF]
Sensors (Basel), 2023 Keča D +3 more
europepmc +1 more source
AutoPollS: A tool for automated monitoring of pollinators using deep learning
Methods in Ecology and Evolution, EarlyView.Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith +13 more
wiley +1 more source
A novel open-source raspberry Pi-based behavioral testing in zebrafish. [PDF]
PLoS One, 2022 Li Y +8 more
europepmc +1 more source
Mothbox and Mothbot: Automated light trap and data processing system for scalable insect monitoring
Methods in Ecology and Evolution, EarlyView.Abstract Insects represent the most diverse group of organisms on Earth and comprise the majority of known species; yet they are seldom accounted for in large‐scale biodiversity monitoring systems and conservation planning. We have developed the Mothbox—an open source automated light trap that makes insect monitoring accessible to non‐specialists and ...
Hubert A. Szczygieł +5 more
wiley +1 more source