Feb 6, 2025 · Explore how decaying animals contribute to nutrient cycling and support ecosystems through complex decomposition processes. Decomposition of animals is a crucial natural process that recycles nutrients and fosters ecosystem health.

Decomposition is the process in which the organs and complex molecules of animal and human bodies break down into simple organic matter over time. In vertebrates, five stages of decomposition are typically recognized: fresh, bloat, active decay, advanced decay, and dry/skeletonized. [1] .

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Aug 1, 2023 · Automated animal activity recognition (AAR) allows caretakers to monitor animal behavioral variations in real time, significantly reducing workloads and costs in veterinary clinics and promoting livestock management efficiency.

Feb 21, 2024 · Our experiments showed that deep learning techniques are promising for acceleration-based behaviour classification of wild animals and highlighted some challenges (e.g. effective use of unlabelled data).

Oct 16, 2020 · By recognizing the movements of animals in the wild using attached sensors, it may well be possible to detect if poachers are nearby. These animal activity recognition sensors can also help in...

In order to reduce the reliance on labor and aid animal management, sensors detecting the calving time without physical observation have been developed. These sensors are attached to the tail (or tail head), and they measure tail movement patterns triggered by labor contractions.

Dec 20, 2024 · Using the opportunities offered by the increasing number of sensors embedded into transport infrastructures and the development of their digital twins, a French research team has developed a method...

The probe is inserted into a 3/32 inch (2.38 mm) diameter hole drilled into the tree with a portable drill. This method can detect the early stages of decay that may not be evident during a visual inspection of wood samples). During decay, metal ions are released by damaged cells.

Mar 21, 2024 · Here we used machine learning to engineer genetically encoded fluorescent indicators, protein-based sensors critical for real-time monitoring of biological activity. We used machine learning to...