Abstract

Mammalian mini-livestock production in Nigeria has become the fastest growing practice of food making intended to address the peoples' daily-recommended intake of animal protein foreseen by the Livestock Revolution. This sparks swift progression in production capacity for economic yield because its production currently stands as alternative sources to conventional animal protein. As the scale of production increases, it becomes pertinent to include precision livestock o farming (PLF) technologies into its production to upturn o the breeders' capability to remotely monitor, regulate and document biological processes involved in the livestock production in order to uphold ethically sound, fruitful and ecologically responsive production of mammalian mini-livestock. Adapting and using appropriate sensors such as o cameras, microphones, accelerometers, and others via o images, sounds and movements o with algorithms o would monitor o livestock and their welfare. This process can boost the livestock performance, economic performance, and labour efficiency. Therefore, this paper reviewed the premise of quantitative remote observing of livestock and timely alerts of poor conditions of livestock welfare that require the attention of the breeders/farmers using the various PLF technologies or devices. It also offered important skills for mammalian mini-livestock breeders to translate mini-livestock data into the livestock health and well-being indices using algorithms and machine learning that are in line with the livestock industry welfare audit criteria. Therefore, the awareness to transfer PLF technologies and its implications to mini-livestock farmers would create possibilities for interconnection to expand its value chain where both customers and farmers are ultimately linked. That is, customers would make judgements based on ranch house practices, and farmers can as well take resolutions built on consumer practices.