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Author: Netinant, P.; Niratsoke, A.; Rukhiran, M.
Title: Beyond traditional piggery to automation farm system based on internet of things
  • Cord-id: b5wk7zhl
  • Document date: 2021_1_1
  • ID: b5wk7zhl
    Snippet: The pig is one of the economic animals in Thailand. Pork exporting to many countries is significantly higher than the previous year. While Covid-19 disease has arisen severe health problems to cause illness and death in humans worldwide, pork demands in most geographical do not reduce. However, farmers have toughly managed their farms according to fewer local and foreign laborers and social distancing strategy. Recently, IoT technology has been introduced and has been influenced to speedily desi
    Document: The pig is one of the economic animals in Thailand. Pork exporting to many countries is significantly higher than the previous year. While Covid-19 disease has arisen severe health problems to cause illness and death in humans worldwide, pork demands in most geographical do not reduce. However, farmers have toughly managed their farms according to fewer local and foreign laborers and social distancing strategy. Recently, IoT technology has been introduced and has been influenced to speedily design and development, helping to sense, monitor, control, and manage tasks automatically. This paper has proposed the design and establishes the automation piggery system to monitor and manage the daily farmer tasks. The automation piggery system has been experienced on the physical piggery for a week. The primary evaluation of the automatic piggery system was investigated to study the functional testing. The system can automatically achieve the basis of daily work schedules of farmers on a traditional piggery. The system monitors times in different periods to check a food quantity and temperature controls for giving water and turning on fans. The software testing includes a precision timing module, data display, and accuracy of IoT particle sensors. However, this research is before being additional needs to research more before the actual deployment can be in a piggery. © 2021 ACM.

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