The pressures driving this transformation are structural rather than cosmetic. The global population is projected to reach approximately 9.7 billion by 2050, and demand for animal-source foods continues to climb as incomes rise in low- and middle-income countries. Yet conventional livestock production is constrained by biological inefficiencies, including low feed conversion efficiency and long production cycles, that limit scalability without proportional increases in land, water, and energy inputs. The livestock sector accounts for roughly 14.5 percent of anthropogenic greenhouse gas emissions according to the Food and Agriculture Organization, primarily through enteric methane, manure management, and feed cultivation, while grazing and feed production remain leading drivers of deforestation and biodiversity loss in tropical regions. Disease outbreaks such as African swine fever and avian influenza have repeatedly disrupted meat supplies, and the COVID-19 pandemic exposed how fragile centralized processing and distribution networks can be when labor shortages and logistical bottlenecks cascade through the system.

Against this backdrop, the review identifies digitalization as the foundational strategy for modernizing livestock production. Precision livestock farming, or PLF, marks a fundamental shift from experience-based herd management to continuous, data-driven decision-making. Sensor networks, wearable devices, imaging systems, and environmental monitors collect high-resolution data on individual animals rather than whole herds. Wearable collar devices now track body temperature, feeding behavior, and movement in dairy cows, while sensor-based air quality monitoring has been used to predict infectious disease in poultry flocks. The practical payoff is early intervention: automated detection of lameness, mastitis, and respiratory disease reduces production losses and can lessen reliance on prophylactic antimicrobial use, a goal with direct public health implications. Continuous thermal monitoring also allows producers to counteract productivity declines driven by heat stress as climates warm.

Artificial intelligence multiplies the value of all that sensor data. Machine learning models integrate raw signals, such as the frequency and duration of feeder visits, with body weight and health records to model feeding patterns and flag anomalies before they become clinical problems. Predictive models estimate heat stress from real-time temperature and humidity readings, while classification models built on blood-derived physiological parameters support earlier diagnosis. Computer vision has emerged as a particularly powerful branch: deep learning systems can identify individual animals by appearance alone, eliminating the need for attached sensors, and image-based analysis of hoof features has achieved high accuracy in assessing inflammation severity. Comparable systems detect lameness and abnormal behavior in dairy and poultry operations with impressive precision. The authors emphasize, however, that these algorithms demand large volumes of collected data before they can perform, and that adoption hinges on affordability, interoperability, and farmer training, especially for small- and medium-scale producers who face high initial investment costs.

Beyond the farm, blockchain-based traceability systems are reshaping transparency in livestock supply chains. Because blockchain entries require approval from multiple stakeholders, recorded information becomes resistant to tampering, enabling immutable documentation of production and processing data. These systems can support early detection and tracking of animal epidemics and enable cold-chain monitoring by logging temperature, humidity, and vibration during distribution. Notably, a survey study found that consumers in South Korea, the United States, and Hong Kong showed greater willingness to pay for beef when temperature fluctuations during distribution were tracked on a blockchain, suggesting tangible market value for verifiable transparency. Still, the review cautions that unresolved questions of data ownership, cybersecurity, and standardization require governance frameworks to accompany the technology itself.

The most contested frontier lies in alternative proteins and cellular agriculture. Plant-based meat analogues built from soy, pea, and wheat proteins rely on extrusion, shear processing, and texturization to reproduce fibrous, meat-like textures. Microbial proteins from fungi, algae, and bacteria offer another route, with fermentation advances yielding nutritionally valuable products. Cell-cultivated meat, grown from animal cells in vitro, retains species-specific protein composition and cellular architecture, positioning it as a complement to livestock rather than a wholly separate category. Life cycle assessments generally show reduced greenhouse gas emissions, land use, and water use compared with conventional meat, but the review stresses that these advantages are context-dependent: highly refined plant-based and fermentation-derived products can carry heavy processing and energy burdens, and the environmental profile of cultured meat will depend on the materials and methods used once production reaches commercial scale.

The economic and technical hurdles for cellular agriculture remain formidable. Scaling from laboratory to industrial production requires large bioreactor facilities with high capital costs, expensive culture media, and significant energy demand. Operating such bioreactors is technically demanding because sufficient mass transfer must be maintained while minimizing shear stress that damages delicate animal cells, and bioreactors specifically optimized for cellular agriculture are still scarce. Fully replicating the sensory attributes of conventional meat remains elusive, and even if production succeeds, cultured meat would fall under distinct regulatory frameworks with limited compatibility with existing meat distribution infrastructure. Potential concerns about residual antibiotics or hormones from culture media, along with unresolved religious questions about halal and kosher status, further complicate acceptance. The authors argue that cultured meat should therefore be framed as one component of a diversified protein portfolio rather than a disruptive replacement for farming.

Meanwhile, processing innovations are quietly transforming conventional meat products themselves. Reformulation efforts target reduced fat, sodium, and nitrite in response to links between saturated fat and cardiovascular disease and ongoing debate over nitrite in processed meats. Oleogel technology structures plant-derived oils into gels that mimic the texture, mouthfeel, and flavor release of animal fat while delivering unsaturated lipids, though oxidative stability and flavor compatibility remain obstacles during storage and cooking. Salt reduction is particularly tricky because sodium chloride contributes water-holding capacity, protein solubilization, and texture, not just salty taste; microwave treatment of low-salt meat products can increase sodium ion mobility and saltiness perception, while ultrasound induces protein denaturation that strengthens gel formation at reduced salt levels. Natural curing systems using vegetable-derived nitrate sources and starter cultures lower reliance on synthetic nitrites, and high-pressure processing under optimized conditions promotes myoglobin modification that improves cured color. Enzymatic hydrolysis of meat proteins, including by-products such as skin and blood, generates bioactive peptides with antioxidant and antihypertensive activities, and precision fermentation now enables production of casein and whey with identical amino acid sequences to dairy proteins, without animal farming, albeit at high cost and under regulatory and consumer scrutiny.

Smart packaging rounds out the processing toolkit. Active packaging embeds antimicrobial agents, antioxidants, or oxygen scavengers into materials to inhibit microbial growth and lipid oxidation, extending shelf life for minimally processed and reformulated meats. Intelligent packaging uses pigment-based indicators that change color as spoilage-related volatile compounds shift pH, giving retailers and consumers real-time freshness information. Although multilayer materials and embedded additives complicate recycling, recent life cycle assessments suggest the environmental impact of food waste can exceed that of packaging itself, meaning shelf-life extension may deliver greater environmental benefits than recyclability improvements alone. According to the review’s maturity assessment, salt reduction and smart packaging have reached relatively advanced industrial implementation, while oleogel fat replacement and precision fermentation remain at earlier stages due to cost, supply, and sensory constraints.

Ultimately, the review’s central message is that regulatory readiness, safety governance, and consumer perception form an interdependent triad that can enable or strangle food tech innovation. Regulatory pathways remain fragmented, with the European Union applying precautionary pre-market authorization under its Novel Foods Regulation while the United States relies on shared FDA and USDA oversight of cell-cultivated meat. Consumer studies consistently show higher preference for plant-based alternatives than for cultured meat, which suffers from perceptions of unnaturalness even as its sustainability and welfare benefits are viewed positively. The authors conclude that future livestock food systems will evolve through strategic coexistence: conventional production focusing on quality, welfare, and regional specialization, while hybrid products combining conventional meat with plant proteins or cultured meat balance sensory quality, nutrition, cost, and environmental performance. Food technology, in this vision, is not a singular solution but a portfolio of tools whose success will depend on equitable access, harmonized regulation, rigorous safety assessment, and the public trust that binds them all together.

Subject of Research: Emerging food technologies shaping the future sustainability of the livestock food industry

Article Title: Development of food technology for the future prospect of the livestock food industry

Article References: Kim, Y.-J., Cha, J. Y., Kim, J.-H., Keum, D. H., & Choi, Y.-S. (2026). Development of food technology for the future prospect of the livestock food industry. Food Science of Animal Resources, 46(1), Article 76. https://doi.org/10.1007/s44463-026-00073-w

Image Credits: AI Generated

DOI: 10.1007/s44463-026-00073-w

Keywords: livestock, food technology, precision livestock farming, artificial intelligence, alternative proteins, cultivated meat, cellular agriculture, smart packaging, sustainability, food safety, consumer acceptance, precision fermentation