Скачать с ютуб INTERNET of ANIMALS (IoA): THE EVOLUTION of ANIMAL MONITORING driven by SCIENCE 🦜🛰️🌍 в хорошем качестве

INTERNET of ANIMALS (IoA): THE EVOLUTION of ANIMAL MONITORING driven by SCIENCE 🦜🛰️🌍

Welcome to WoS! 🦋 In this episode, we explore the fascinating world of the Internet of Animals (IoA)! The Internet of Animals connects animals with smart devices to monitor their health, behavior, and environment. It uses sensors on animals and in their habitats to collect data, transmitted via cellular, satellite, and other networks. This technology enhances research, animal health management, and species and ecosystem conservation. Join us as we dive into the scientific advancements that are opening new frontiers in science and the way we preserve our natural world: 🔹 Study #01: "Breath-hold capacities and circadian dive rhythmicity shape optimal foraging strategies in a polar marine mammal, the Weddell seal (Leptonychotes weddellii)" Summary: Dr. Michelle Shero and her team at the Woods Hole Oceanographic Institute, USA, studied Weddell seals in Ross Bay, Antarctica, using IoT sensors and satellite technology. They discovered that seals adjust their dives based on light and lunar phases, optimizing their hunting strategies. The study provides key insights into their adaptation and conservation in extreme environments. Source: https://www.nature.com/articles/s4200... 🔹 Study #02: "Pet dog facial expression recognition based on convolutional neural network and improved whale optimization algorithm" Summary: Researcher Yan Mao and his team at Tongji University, China, developed an AI model enhanced with the Improved Whale Optimization Algorithm (IWOA) to interpret dogs' emotions based on facial expressions. Their method significantly improved emotional recognition accuracy, highlighting AI’s potential in interspecies communication. Source: https://www.nature.com/articles/s4159... 🔹 Study #03: "Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features" Summary: PhD student Wai Hnin Eaindrar and her team at Miyazaki University, Japan, developed a system using 360° cameras and computer vision (YOLOv8) to accurately predict calving time in cows, enabling timely interventions and improving animal welfare. Source: https://www.nature.com/articles/s4159... 🔹 Study #04: "Animal-borne soundscape logger as a system for edge classification of sound sources and data transmission for monitoring near-real-time underwater soundscape" Summary: Dr. Takuji Noda and his team at Biologging Solutions Inc., in collaboration with Kyoto University, Japan, developed a device that captures, classifies, and transmits underwater sounds in real time using deep learning. Tested on sea turtles, it enhances ecosystem monitoring and conservation efforts. Source: https://www.nature.com/articles/s4159... 🔹 Study #05: "GooseDetectlion: A Fully Annotated Dataset for Lion-head Goose Detection in Smart Farms" Summary: Dr. Yuhong Feng and his team at Shenzhen University, China, developed GooseDetectlion, an AI-based system using computer vision and YOLOv5 to detect diseases in lion-head geese through high-resolution cameras. Tested in farms, it enhances animal health and reduces manual labor. Source: https://www.nature.com/articles/s4159... Your time and support are essential for us to continue exploring and sharing the fascinating world of science together. Thank you! ✨ See you in the next episode—sending you a big hug! 🚀 -------------------------------------------------------------------------- 👇🏻 Chapters: 00:00 - Intro and theoretical framework 01:26 - Welcome by Javi 02:25 - Study No. 1: “Breath-hold capacities and circadian dive rhythmicity shape optimal foraging strategies in a polar marine mammal, the Weddell seal (Leptonychotes weddellii)” 04:45 - Study No. 2: “Pet dog facial expression recognition based on convolutional neural network and improved whale optimization algorithm” 06:37 - Study No. 3: “Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features” 08:57 - Study No. 4: “Animal-borne soundscape logger as a system for edge classification of sound sources and data transmission for monitoring near-real-time underwater soundscape” 11:25 - Study No. 5: “GooseDetectlion: A Fully Annotated Dataset for Lion-head Goose Detection in Smart Farms” 13:43 - Outro, next program, and farewell -------------------------------------------------------------------------- Connect with us 😉 📢 WoS WhatsApp Channel (ENG): https://whatsapp.com/channel/0029VazZ... 💼 LinkedIn:   / jjaira   📸 Instagram:   / worksofscience