Seybold Report ISSN: 1533-9211
Shaikh Habib Yusuf * and Dr. Arpana Bharani
Vol 18, No 7 ( 2023 ) | Licensing: CC 4.0 | Pg no: 338-349 | Published on: 30-07-2023
Abstract
AI deep learning technology, cloud database, IoT technology, and distributed computing will be utilized to support animal managers to obviously comprehend the individual species, physiological status, diet, and disposition, feed trough stock piling, water volume and other data. The work cost of the zoo and animal farm is decreased, the proficiency of the animal supervisor is improved, and the personal satisfaction ofthe animals in the zoo and farm is improved and ensured. So as to decrease costs andencourage execution, the proposed intelligent animal care and management systemarchitecture will be incorporated into the Raspberry Pi, AI, beacon, Wi-Fi, neighborhood Arduino and different communication innovations, for example, clouddatabase and distributed computing.Using these advances, some bulky methods forcaring animals are mechanized through the IoT and AI to push animaladministrators to systematically care for and oversee animals, for example, sensingthe internal heat level, mindset, action, and movement status of animals, generalcondition and position.
Keywords:
IoT, Animal, Raspberry Pi, AI, Arduino, Zoo, Animal Tracking System