ARCHIVES

1. Zhang et al. (2023) proposed a smart livestock feeding system integrating weight sensors and IoT communication, demonstrating improved
accuracy in feed dispensing compared to manual approaches and enhanced data monitoring through cloud connectivity, laying foundations
for real-time feeding control mechanisms.
2. Aransiola & Adegbite (2022) developed an automatic feeder using load sensors and timing modules for companion animals, showing reduced
manual intervention and accurate feed portions, providing foundational insights into weight-based automated feeding technologies.
3. Manek et al. (2023) introduced the KAMADHENU framework for dairy cattle that monitors health and feeding patterns with sensor inputs,
emphasizing the role of automated systems in improving livestock well-being and productivity through continuous monitoring.
4. Castillo-Arceo et al. (2024) designed an IoT-based pet feeding system combining weight sensors and deep learning to personalize feeding
routines, highlighting how sensor fusion can reinforce precision in automated feeding applications.
5. Akhigbe et al. (2021) reviewed IoT use in livestock management, noting how integrated sensor networks and cloud platforms enable remote
monitoring and automation of tasks including feeding, and pointing to trends in smart agriculture implementations