This systematic review, which analyzed 75 articles published between 2019 and 2024, investigated the application of Precision Livestock Farming (PLF) technologies in pig farming. Using a rigorous methodology, including SWOT analysis and categorization into four thematic groups, the research identified that 37% of the studies focused on animal identification and monitoring, while 28% addressed animal welfare. The SWOT analysis revealed that PLF offers significant opportunities to improve animal welfare, optimize production processes, and reduce environmental impact. The results of this research can guide the development of research to promote the adoption of PLF technologies in pig farming, contributing to a more sustainable and efficient sector.

This study explores pig producers’ perceptions regarding the use of technologies for animal welfare in pig farming, highlighting the gap between the productive sector and academic institutions. The research was conducted through a questionnaire administered to producers from different cities in Brazil, addressing topics such as property infrastructure, technology adoption, knowledge about animal welfare, and interaction with academic institutions. The results revealed that although the majority of producers have access to information about technologies and animal welfare, there is a perceived resistance to adopting these technologies, reflected in the lack of interest in responding to academic questionnaires. The analysis also points to the influence of producers’ profiles, highlighting the importance of academic education and experience in the sector in the perception and adoption of technologies. Additionally, the research highlights the growing presence of commercial companies, filling the gap between academic research and practical application and suggesting the need for more effective strategies to engage producers in the debate on animal welfare and related technologies. These results have important implications for the development of policies and practices aimed at the sustainable advancement of livestock, encouraging greater integration and collaboration among the various actors in the sector.

One of the challenges in precision livestock farming is controlling the variables that affect production and automation for actuator triggering. Automated systems with fuzzy logic allow the integration of expert knowledge from various contexts, facilitating the adoption of animal welfare practices. The objective of this study was to compare a fuzzy logic-based system model with a proportional control-based system model for regulating environmental conditions in pig pens. Through input variables such as temperature, relative air humidity and ammonia levels, the system output was the activation of fans/extractors and the opening/closing of curtains. MATLAB® software was used to model the systems and simulate actions to promote animal welfare. When comparing the efficiency of the fuzzy logic-based system with the proportional control system, it was observed that the output result of the fuzzy model was faster in 90.1% of the samples, with its average output in rpm being 12.7% higher than the proportional control system. The proposed fuzzy logic control system demonstrates efficiency for use in precision livestock farming processes. Um dos desafios da pecuária de precisão é o controle das variáveis que afetam a produção e a automação para acionamento de atuadores. Sistemas automatizados com lógica fuzzy permite incorporar o conhecimento de especialistas em diferentes realidades, favorecendo a adoção do bem-estar desses animais. O objetivo deste estudo foi comparar um modelo de sistema baseado em lógica fuzzy com um modelo de sistema baseado em controle proporcional para regulação de condições ambientais em baias em suínos. Por meio das variáveis de entrada como temperatura, umidade relativa do ar e nível de amônia, a saída do sistema era o acionamento de ventiladores/exaustores e a abertura/fechamento de cortinas. Foi utilizado o software MATLAB® para modelar os sistemas e simular ações para promover o bem-estar animal. Ao comparar a eficiência do sistema baseado na lógica fuzzy com o sistema de controle em ação proporcional, observou-se que o resultado de saída do modelo fuzzy foi mais rápido em 90,1% das amostras, sendo em média sua saída em rpm 12,7% maior do que o sistema em ação proporcional. O sistema de controle proposto em lógica fuzzy se apresenta eficiente para uso nos processos de pecuária de precisão.

A produção de ovos no Brasil tem crescido fator que acarretou um aumento na densidade de animais nas instalações, gerando diminuição da ambiência e do bem-estar. Desta forma este estudo teve como objetivo realizar uma análise em sistemas de criação de poedeiras, tipo cage free sem enriquecimento e cage free com enriquecimento, no pico e final de produção e sua relação com o enriquecimento ambiental e qualidade de ovos. Para o tratamento com enriquecimento foram utilizados: ninho, poleiro, chocalho, fardos de capim nativo e galhos de Cambuci. Enquanto o tratamento sem enriquecimento possuía apenas um ninho, ambos os tratamentos possuíam comedouros do tipo tubular, bebedouros do tipo pendular e cama de palha de arroz. Foram avaliados o comportamento animal e qualidade dos ovos. Na análise de comportamento obtivemos diferença entre os comportamentos de ninho, empoleirar, ciscar, perseguir e coçar cabeça, possivelmente pelo fato das aves utilizarem dos meios que eram fornecidos e poderem expressar seu comportamento natural. Dentro da qualidade de ovos, observamos uma diferença nos parâmetros de coloração da gema, peso, altura de albúmen, unidade Haugh, espessura da casca e índice de gema (YCF), onde o peso e a coloração da gema foram maiores no tratamento sem enriquecimento, podendo ser devido ao maior consumo de alimento, já que as aves nesse tratamento não possuíam outros meios de distração. Conclui-se que o enriquecimento promove alterações positivas tanto na expressão de comportamentos naturais das poedeiras como melhora os principais requisitos em relação à qualidade dos ovos.

To boost productivity in pig production, it is essential to improve the litter size per sow. However, achieving this goal requires reducing newborn mortality rates and increasing their weight gain. In this regard, prioritizing animal welfare and adopting practices that promote sustainability in the activity is crucial. The study aimed to evaluate the sustainable flooring coverage of farrowing crates, considering piglet adaptation, thermal comfort, animal development, and increased productivity. Three types of flooring treatments were defined: T1—wood shavings; T2—solid rubber mat; T3—perforated rubber mat, for 12 litters (±50 animals/treatment). Behavior, physiology, piglet production indices, and facility microclimate were assessed. The facility’s microclimate indicated the possibility of cold stress. There was a greater preference for the mat treatments among the animals, as they remained on them for longer periods and showed increased activity in the farrowing crates. The presence of mats resulted in lower mortality due to crushing, positively contributing to production. These findings suggest the potential of using recyclable rubber mats in pig production and encourage the exploration of new designs and installation locations.