In animal farming, timely estrus detection and prediction of the best moment for insemination is crucial. Traditional sow estrus detection depends on the expertise of a farm attendant which can be inconsistent, time-consuming, and labor-intensive. Attempts and trials in developing and implementing technological tools to detect estrus have been explored by researchers. The objective of this review is to assess the automatic methods of estrus recognition in operation for sows and point out their strong and weak points to assist in developing new and improved detection systems. Real-time methods using body and vulvar temperature, posture recognition, and activity measurements show higher precision. Incorporating artificial intelligence with multiple estrus-related parameters is expected to enhance accuracy. Further development of new systems relies mostly upon the improved algorithm and accurate data provided. Future systems should be designed to minimize the misclassification rate, so better detection is achieved.

The importance of backfat thickness in sows lies in its correlation with nutritional status, reproductive performance, and overall health. Identifying the optimum backfat thickness is crucial for determining the ideal energy reserves needed to support successful reproduction and lactation. This research aimed to determine optimal backfat thickness (BFT) of sows in relation to reproductive and lactation performance. In this study, 32 lactating sows were housed in a controlled environment and assigned to four groups based on their BFT before farrowing: <17.00 mm, 17.00–17.99 mm, 18.00–18.99 mm, and ≥19.00 mm. The data were analyzed with One-way analysis of variance, and the association between backfat thickness and sow reproductive performance was examined through Spearman’s correlation analysis using SAS software. The results revealed no significant difference between the groups in total born, total born alive, and litter size weaned, but the piglets’ survival rate during the lactation period is lower from sows with BFT < 17.00. Moreover, piglet birth weight and body weight at Day 3 were significantly lower in sows with BFT < 17.00 mm. The BFT of sows at weaning showed significant differences among the groups associated with the backfat thickness before farrowing. No significant difference was found in the duration of farrowing. The return-to-estrus interval was longer in sows with <17.00 mm BFT than in those with 17.00–17.99 mm, 18.00–18.99 mm, and ≥19.00 mm backfat thickness, with estrus intervals of 7.17, 6.25, 5.31, and 5 days after weaning, respectively. Numerically, calculated milk yield (MY) is lowest in sows with BFT < 17.00, and the highest MY was obtained from sows with BFT 18.00–18.99 mm. In conclusion, sows with at least 17.00 mm BFT before farrowing are ideal for increasing the lifetime productivity of sows. This study provides valuable insights into the importance of sow management during gestation for subsequent reproductive success.

The challenge of meeting the increasing global food demand has driven a shift toward controlled-environment agriculture, particularly in plant factories. However, the high energy consumption associated with these systems raises concerns about their long-term sustainability and economic feasibility. A comprehensive review was conducted to identify existing and potential technologies and strategies that can enhance the energy efficiency of plant factories. Data regarding environmental conditions, energy efficiency, water efficiency, and space efficiency were also extracted to facilitate comparison across studies. Findings indicate that optimizing crop yields and reducing energy consumption are key to improving the efficiency of plant factories. These can be achieved by integrating advanced environmental control technologies, energy-efficient system designs, modular plant factory configurations tailored to local climatic conditions, and effective management practices. While adopting renewable energy alone is insufficient to meet total energy demands, it significantly reduces energy costs and carbon emissions. Furthermore, strategically integrating plant factories with other industries will promote the efficient use of residual resources, fostering a circular economy and enhancing resource efficiency within plant factory systems and the broader economic framework. The insights provided in this review will contribute to developing sustainable and economically viable plant factory systems, supporting future advancements in controlled-environment agriculture.

The need for sustainable and safe alternatives to antibiotic growth promoters has driven researchers to explore organic acids (OAs) inclusion in broiler diets. Citric acid (CA), a notable OA, has emerged as a promising alternative due to its various physiological benefits, including improved nutrient digestibility, antioxidant properties, and enhanced weight gain. Despite the improved growth performance, the feed conversion ratio (FCR) does not seem to be consistently affected by CA inclusion. A considerable number of research papers suggest that CA can replace antibiotic growth promoters and has proved to be more effective when combined with other additives like probiotics and microbial phytase. However, despite numerous trials, the near-accurate dose remains in doubt. Dietary addition between 1.65 % and 2.65 % seems to positively affect broiler performance. Being an organic acid, CA brings no risk to the environment and does not economically burden producers. It has the capability to enhance certain meat qualities and extend shelf life. However, there is a risk of acidic stress and liver damage with excessive inclusion. This review study seeks to offer a thorough and all-encompassing summary of the present level of understanding regarding the use of CA supplementation in broiler diets by describing its impacts on growth efficiency, nutrient utilization, intestinal condition, immune response, meat quality, optimal dose, and environmental sustainability. Further research focused on determining precise dosage levels and understanding the synergistic or antagonistic effects of citric acid when combined with other feed additives is essential for optimizing broiler performance.

This review evaluates the current situation of pig farming, identifies challenges, and projects for the sustainable development of the Chinese pig industry. A literature review using keyword searches was conducted on Google Scholar for articles from 2017–2023. The review included studies focused on pig farming in China, covering prospects, challenges, quantitative data on pro-duction, marketing, and consumption, automation in livestock farming, and publications from peer-reviewed journals, credible websites, government reports, and conference proceedings. Pork consumption in China is increasing, and the country imports a sizable amount of pork annually. Even though small-scale farms still account for most operations, the pig industry is undergoing a critical stage of modernization and transition towards large-scale farming. The major challenges identified were feed, disease, antimicrobial resistance, environmental pollution, and pork prices. Smart technologies, such as cameras, Internet of Things, and sensors, integrated into precision pig farming can improve productivity and animal health through real-time data collection and decision-making. To solve the problems we face now, we need to put a lot of money into large-scale transformation, the creation of new animal precision tools, the automation of manure treatment, and the research and development of long-lasting alternative energy sources like photovoltaics and wind. By implementing these strategies, large-scale precision pig farming in China can become economically and environmentally sustainable, which can ultimately benefit consumers by supplying wholesome pork products.

Vietnam heavily relies on pork as its primary source of animal protein. Traditional farming methods, characterized by small-scale operations, dominate the industry. However, challenges such as rising feed costs, disease outbreaks, and market volatility are prompting many farmers to abandon their businesses. Recognizing the pivotal role of the swine sector in both economic development and nutrition, authorities must intervene to prevent its collapse. In developed nations, smart pig farming, utilizing technologies like sensors and cameras for data collection and real-time decision-making, has significantly improved health and productivity. These technologies can detect subtle indicators of animal well-being, enabling prompt intervention. This review aims to analyze the drivers of Vietnam’s swine farming, identify existing production system flaws, and explore innovative precision farming methods worldwide. Embracing precision farming promises to enhance Vietnam’s competitiveness in export markets and bolster consumer confidence. However, reliance solely on expensive foreign technologies may benefit large-scale farms, leaving smaller ones behind. Therefore, fostering local innovation and validating cost-effective solutions will be crucial for the sustainable growth of small- and medium-scale pig farming in Vietnam.