Results 111 to 120 of about 11,411 (245)
Development and Testing of a 5G Multichannel Intelligent Seismograph Based on Raspberry Pi. [PDF]
Sensors (Basel), 2022 Idehen IP +6 more
europepmc +1 more source
International Review of Hydrobiology, Volume 111, Issue 2, December 2026.ABSTRACT The larvae of the mayfly Ephoron shigae (Takahashi, 1924) (Ephemeroptera: Polymitarcyidae) inhabit distinctive U‐shaped burrows in river and lake sediments, yet their ecology remains poorly documented. Using newly developed mechatronic technology, we obtained continuous observations that revealed new aspects of larval behavior.
Yuichi Hasuda, Hitoshi Sugiyama
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
SMART: Speedy Measurement of Arabidopsis Rosette Traits
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source
Porting Rulex Software to the Raspberry Pi for Machine Learning Applications on the Edge. [PDF]
Sensors (Basel), 2021 Daher AW +4 more
europepmc +1 more source
A systematic color correction pipeline for controlled‐environment imaging
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.ABSTRACT We present a stepwise color correction (CC) pipeline for controlled imaging environments. The workflow integrates flat‐field correction (FFC), gamma correction, and white‐balance correction, followed by a color‐mapping (CM) stage using machine‐learning regression—linear, partial least squares, and neural networks (NNs)—to deliver reliable CC ...
Collins Wakholi +7 more
wiley +1 more source
Raspberry Pi based photovoltaic I-V curve tracer. [PDF]
HardwareX, 2022 Casado P +5 more
europepmc +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Continuous, high‐frequency monitoring is essential to capture rapid phenological transitions and dynamic crop responses to the environment. However, most phenotyping platforms lack the temporal resolution and automation required for consistent, season‐long trait assessment.
Worasit Sangjan +5 more
wiley +1 more source
FoamPi: An open-source raspberry Pi based apparatus for monitoring polyurethane foam reactions. [PDF]
HardwareX, 2022 Wright HC, Cameron DD, Ryan AJ.
europepmc +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart +8 more
wiley +1 more source