Animal Molecular Breeding 2024, Vol.14, No.2, 187-195 http://animalscipublisher.com/index.php/amb 191 Poultry-related PLF research shows significant activity in Asia and Europe, underlining the importance of poultry in global food security and production systems. This geographic disparity in research focus highlights the varying priorities and agricultural practices across different regions of the world. Figure 2 Number of articles related to PLF published worldwide in relation to the species (Adapted from Morrone et al., 2022) Image caption: Blue: cattle; orange: swine; green: sheep and goat; yellow: poultry (Adapted from Morrone et al., 2022) 4.4 Lessons learned and best practices Several lessons were learned from the implementation of PLF technologies on the dairy farm (Vaintrub et al., 2020). One key takeaway is the importance of proper training for farm staff to effectively use and maintain the new technologies. Ensuring that all personnel are familiar with the PLF tools and their functionalities is crucial for maximizing their benefits (Halachmi and Guarino, 2016). Another lesson is the need for regular maintenance and calibration of the sensors and systems to ensure accurate data collection and reliable performance (Stygar et al., 2021). Additionally, integrating PLF technologies with existing farm management practices and systems can enhance their effectiveness and streamline operations (Norton and Berckmans, 2017). Best practices include starting with a pilot implementation to identify potential challenges and gradually scaling up the use of PLF technologies as the farm staff becomes more comfortable with them (Norton et al., 2019). 5 Challenges and Limitations 5.1 Technical challenges Precision livestock farming (PLF) technologies face several technical challenges that hinder their widespread adoption and effectiveness. One significant issue is the integration and reliability of various sensors and devices used for monitoring livestock. These technologies must operate continuously and accurately in diverse and often harsh farm environments, which can be challenging due to factors such as lack of infrastructure, electrical power, and communication networks, especially in extensive farming systems (Liu et al., 2023). Additionally, the vast amount of data generated by PLF systems needs to be processed and converted into actionable information for farmers, which requires sophisticated algorithms and robust data management systems (Vaintrub et al., 2020). The development of user-friendly interfaces and reliable backup solutions is also crucial to ensure that farmers can effectively utilize these technologies without extensive technical knowledge (Vranken and Berckmans, 2017).
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