Innovations in Livestock Monitoring in Agroindustry 4.0: Sensor Technologies, Signal Processing, and Computational Intelligence

A special issue of AgriEngineering (ISSN 2624-7402). This special issue belongs to the section "Livestock Farming Technology".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 205

Special Issue Editor


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Guest Editor
Basic Science Department, College of Zootechnics and Food Engineering, University of São Paulo, Sao Paulo 13635-900, Brazil
Interests: food; livestock; sensor; digital signal processing; machine learning; instrumentation

Special Issue Information

Dear Colleagues,

The Special Issue, titled “Innovations in Livestock Monitoring in Agroindustry 4.0: Sensor Technologies, Signal Processing, and Computational Intelligence ”,  takes a closer look at how new sensor technologies and smart systems are improving livestock monitoring. We’re on the lookout for contributions that dive into advanced sensors, IoT integration, and AI solutions, as well as digital signal processing and the development of electronic tools designed specifically for managing livestock. We’re especially interested in research that pulls these technologies together—like sensors, monitoring systems, and AI—to help improve animal health, productivity, and welfare. The goal is to highlight work that supports real-time monitoring, precision farming, and sustainable practices, all within the context of Agroindustry 4.0’s shift towards digital transformation.

Prof. Dr. Ernane Costa
Guest Editor

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Keywords

  • livestock monitoring
  • sensor technologies
  • IoT in farming animal welfare
  • data analytics in real-time monitoring
  • AI in livestock management
  • sustainable farming practices
  • health monitoring systems

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Published Papers (1 paper)

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Research

23 pages, 1927 KiB  
Article
Application of Internet of Things Technology for Ventilation and Environmental Control in Conventional Open-Air Pig Housing Systems in Thailand
by Suphalerk Khaowdang, Nopparat Suriyachai, Saksit Imman, Kowit Suwannahong, Surachai Wongcharee and Torpong Kreetachat
AgriEngineering 2025, 7(6), 165; https://doi.org/10.3390/agriengineering7060165 - 23 May 2025
Abstract
This study examined the effectiveness of using Internet of Things (IoT) technology to control environmental conditions in open-air pig housing systems in Thailand. This experiment was conducted in three zones: Zone 1, with no environmental controls (natural ventilation); Zone 2, with ventilation fans [...] Read more.
This study examined the effectiveness of using Internet of Things (IoT) technology to control environmental conditions in open-air pig housing systems in Thailand. This experiment was conducted in three zones: Zone 1, with no environmental controls (natural ventilation); Zone 2, with ventilation fans but no water-spraying system; and Zone 3, equipped with both ventilation fans and a roof-mounted water-spraying system. Key parameters, such as ammonia (NH3), hydrogen sulfide (H₂S), temperature, and relative humidity, were monitored all year round. Zone 1, with only natural ventilation, exhibited the highest levels of pollutants, with an average ammonia concentration of 7.1 ppm and hydrogen sulfide at 7.6 ppm. The temperature averaged 31.81 °C, and the relative humidity was 53.65%, creating unfavorable conditions for pig farming. Zone 2, featuring ventilation fans, showed improvements, with the average ammonia and hydrogen sulfide levels reduced to 3.75 ppm and 4.12 ppm, respectively, although the temperatures (29.35 °C) were still too high at times, and the relative humidity was 49.50%. Zone 3, incorporating both fans and a water-spraying system, demonstrated the most effective environmental control, achieving lower ammonia (3.0 ppm) and hydrogen sulfide (2.93 ppm) levels, with an average temperature of 28.85 °C and relative humidity of 47.15%. These results suggest that IoT technology, combined with adequate ventilation and cooling systems, significantly enhances environmental conditions, thereby promoting better pig health and growth. Full article
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