Sustainable Industry Research Articles

Correction: an intelligent information recommender system (IIRS) for next generation sustainable social tourism industry

Correction: an intelligent information recommender system (IIRS) for next generation sustainable social tourism industry

Exploring emission spatiotemporal pattern and potential reduction capacity in China's aviation sector: Flight trajectory optimization perspective

China's rapid expansion of civil aviation has led to an increase in pollution-related issues, causing adverse health effects on populations near airports and downwind. Accurately quantifying aviation emissions is essential for effective emission management. Here, we developed a high-resolution aviation emissions inventory for China by employing a bottom-up approach that relied on daily flight schedules. By using the Aeronautical Information Publication (AIP) to reproduce real-world flight routes rather than conventional great-circle routes, we improved the accuracy of emissions and investigated the potential for reducing these emissions. Our findings demonstrated substantial variations in domestic civil aviation emissions both spatially and temporally. Emissions peaked in most provinces during Chinese holidays, particularly the Chinese Lunar New Year and summer holidays, highlighting the importance of detailed activity data for accurate emissions calculations. Therefore, we recommend extensive utilization of real-world flight routes, particularly in areas with limited Automatic Dependent Surveillance-Broadcast (ADS-B) coverage since they provide more accurate representations of actual flight trajectories. Our study also identified regions like Shaanxi, Sichuan, Beijing, and their surroundings having considerable potential for emission reduction due to substantial deviations from great-circle routes. This approach can enhance the accuracy and spatiotemporal resolution of aviation emissions at national and global scales throughout the year, without relying on extensive, long-term real-time flight trajectories. Additionally, it provides a unique way to quantify the potential for emission reductions across provinces in civil aviation, ultimately contributing to mitigating pollution-related health impacts from aviation emissions and promoting a more sustainable aviation industry.

Valorization of ladle furnace slag and functional enhancement of post-adsorption materials

Carbonating metallurgical slags plays a pivotal role in achieving efficient mineral CO2 sequestration and waste valorization.This research introduces a novel integrated approach that combines the carbonation of Ladle Furnace Slag (LFS) with the simultaneous degradation of Methyl Orange (MO) in synthetic water. The comprehensive characterization of LFS was conducted using X-ray Diffraction (XRD), X-ray Fluorescence (XRF), Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES), Brunauer-Emmett-Teller (BET) analysis, and Scanning Electron Microscopy (SEM). The adsorption experiments reveal the high LSF capacity for MO degradation (149.25 mg/g) following pseudo-second-order kinetics (R2 = 0.99) and Langmuir isotherm (R2 = 0.98). The adsorption process was primarily governed by chemical and electrostatic interactions. Analysis of LFS-loaded MO indicated a reduction in Ca(OH)2phases, responsible for CO2mineralization and the formation of calcite (CaCO3). Furthermore, the study explored the reusability of LFS-MO composites through chemical and thermal modifications. Pyrolysis of carbonated LFS with KOH impregnation exhibited potential for regenerating Ca(OH)2phases, while thermal modification induced significant mineral and microstructural changes, creating new active sites at various temperatures. Additionally, the Fenton-like reaction followed by thermal modification resulted in a highly organized and microporous LFS structure with enhanced surface area and porosity. Moreover, modification with ZnSO4followed by thermal activation promoted the formation of ZnO nanoxides on the LFS surface. This research proposes an innovative carbonating approach for metallurgical slags and wastewater treatment, extending their utility and enhancing industrial sustainability. Carbonated LFS-MO composites hold promise for applications in construction, CO2capture, and wastewater treatment, thereby fostering sustainable industrial practices with ongoing research and development efforts.

Impact of Bioagents on Growth and Yield Parameters of Root-knot Nematode Infested Mulberry Plants

Mulberry (Morus alba L.) is a vital crop for sericulture and its productivity is crucial for the industry's sustainability. This study investigated the influence of bioagents viz., Purpureocillium lilacinum, Trichoderma harzianum, Trichoderma viride, Pochonia clamydosporia and Pseudomonas fluorescens, alongside control treatments including carbofuran 3G and neem cake on growth and yield parameters in severely root-knot nematode infested mulberry plants. The treatments involved are generally recommended to manage root-knot nematode infestation. The results revealed that T. viride @ 5 kg/ha significantly improved plant growth, leaf area and leaf yield leading to enhanced productivity. The findings of this study underscore the potential of bioagents in fostering environmentally sustainable and economically viable sericulture. Aims: The study aims to assess the impact of bioagents on growth and yield parameters of root-knot nematode, Meloidogyne incognita infested mulberry plants. Study Design: The data collected from the experimental field were analyzed statistically by using one-way RCBD. Place and Duration of Study: The experiment was carried out in the root-knot nematode infested mulberry garden in Kalyapura Village, Shidlaghatta Taluk, Chikkaballapura District, Eastern Dry Zone (Zone-5) of Karnataka, India between January to September 2022, covering three harvests. Methodology: The treatments were incorporated near the root zone of mulberry plants within a week after pruning as per the recommendations. The observations were recorded once before the imposition of the treatments (initial) and during the first (60 DAT) and second (120 DAT) shoot harvests in mulberry after imposing the treatments. Results: Among the bioagents Trichoderma viride showed better results for shoot height (120.00 cm), number of leaves per plant (511.75), leaf area (102.10 cm2) and leaf yield per plant (528.38 g) during the second harvest i.e., 120 DAT. The minimum leaf yield per plant was recorded in the untreated check (216.43 g). Conclusion: Incorporating T. viride @ 5 kg/ha mixed with 5 tons FYM near the root zone of mulberry infested with RKN showed promising results in promoting plant growth and yield.

A novel method simultaneously eliminating Portevin-Le Chatelier effect and enhancing strength in non-heat-treatable Al-Mg alloys

This study investigates the effects of cyclic plasticity on the tensile properties of AA5083 alloys. The low strength and Portevin-Le Chatelier (PLC) effect in Al-Mg alloys means they have found limited use in automotive outer panels. This work shows that by applying cyclic strengthening approach to AA5083, a high density of Mg-Al clusters can be formed in matrix resulting in increased yield and tensile strengths. Moreover, the introduction of cyclic plasticity also effectively suppresses the PLC effect, which is due to the formation of the clusters and the consequent reduction in the number of free Mg atoms in the solid solution. This method introduces the concept of particle strengthening in Al-Mg alloys without altering composition, while simultaneously eliminating the PLC effect. It suggests a potential path for using 5xxx series alloys in applications traditionally dominated by 6xxx series alloys, with added benefits for recycling and sustainability in the automotive industry.

Advancing circular economy of pallets: A comprehensive evaluation framework

The pursuit of sustainable development highlights the circular economy (CE) as a viable approach. Pallets, transporting over 80% of global trade, lack CE performance (CEP) evaluation, hindering sustainability efforts in logistics. This study develops a comprehensive framework comprising 17 indices across the pallet lifecycle to evaluate CEP in China, based on literature review, field studies, and integration of material flow analysis and life cycle assessment. Results reveal significant variation in CEP across pallet types. Wooden pallets generate substantial waste, with a high waste-to-weight ratio of 58.60%, due to inefficient processing. Plastic pallets exhibit high material efficiency (99.88%), but face environmental challenges due to non-renewable resources reliance. Steel pallets demonstrate exemplary waste management but are underutilised. Paper pallets need better durability and fly ash pallets have environmental concerns due to adjuvants. The proposed framework offers an effective tool for promoting sustainability in logistic carrier industries, with applicability extending beyond pallets.

Can Turkey Be A Hub For Closed-Loop Systems In the Textile Industry for the EU?

The global textile industry, valued at $414 million, confronts substantial environmental challenges, contributing to waste, pollution, and greenhouse gases. This paper examines Turkey's potential to drive sustainability in textiles, exploring circular systems that minimize waste and promote eco-friendly practices. The paper consists of seven parts. After introduction, in the second part the importance of sustainability and circularity in textile industry is explained. Third part examines the Turkey as a major textile player, and the challenges of textile recycling industry. Overwhelming obstacles like insufficient recycling infrastructure require industry initiatives, government regulations, and technological innovations. Following parts explains the main limitations of the textile recycling in EU and questions if Turkey, with its production capabilities and recycling expertise, could be a key ally for EU to solve the obstacles of current textile recycling challenges. Recommendation and Conclusion parts offer a road map for Turkey to enhance its capabilities to become a key ally for EU, exemplifying a transformative shift towards a sustainable textile industry.

Toward a sustainable dairy industry in Mexico: optimization of a parabolic trough solar collector system with passive heat-transfer enhancement techniques and a machine learning approach

Toward a sustainable dairy industry in Mexico: optimization of a parabolic trough solar collector system with passive heat-transfer enhancement techniques and a machine learning approach

Quantitative PCR assays as a monitoring tool for bacterial genera in fresh fish fillets

Fresh fish fillets are a valuable but highly perishable food, and their rapid microbial deterioration is a drawback for food safety and sustainability of aquaculture, food and retail industries. Quantitative PCR (qPCR) assays based on 16S rRNA gene (16S) sequences were developed for the most abundant bacteria genera detected by metagenomics in fresh or processed fish fillets. The efficiency and specificity of six qPCR assays (for 16S of all bacteria or genera Shewanella, Pseudomonas, Carnobacterium, Janthinobacterium and Massilia) was verified using in silico predictions, cloning, sequencing and phylogenetic analyses of amplicons obtained from refrigerated control or high-pressure processed (HPP) European sea bass (Dicentrarchus labrax) fillets. In HPP sea bass fillets, significant decreases in total bacteria 16S and of Shewanella, Pseudomonas, Carnobacterium and Janthinobacterium 16S compared to control fillets were confirmed by qPCR, after 11 days of refrigerated storage. The qPCR assays were successfully applied to monitor microbial contamination during refrigerated storage of fresh fillets from commercial (retail) sea bass and gilthead sea bream (Sparus aurata). Significant increases in total bacterial and Shewanella, Pseudomonas, Carnobacterium and Janthinobacterium contamination were detected after 7–14 days. 16S copy number for total bacteria and the four target genera positively correlated with total viable counts using culture enumeration. 16S of Massilia, that is abundant in fresh fish fillets, did not significantly change during storage. The six validated qPCR assays developed are proposed as specific, sensitive, culture-independent methods for monitoring quality or processing outcomes for fish fillets during cold chain storage.

Transforming crocodile traceability: Deep metric learning for identifying Siamese crocodiles

This study introduces a novel method for identifying individual Siamese crocodiles (Crocodylus siamensis), which is a crucial requirement for conservation and sustainable industry practices. Although deep metric learning (DML) has improved identification model robustness and reduced dependency on large datasets, comprehensive field studies and long-term deployments are lacking. To address this, DML combined with convolutional neural network (CNN) was applied for enhancing accuracy using a limited and imbalanced number of images per class and distinguishing dissimilar scale patterns of the head and ventral regions. Individual crocodiles were identified using the k-nearest neighbor (KNN) and support vector machine (SVM) classifiers based on the extracted features. Data were collected from 30 individuals on a crocodile farm using photographs taken over two consecutive years. Two identification types, Type 1, based on a model trained on images collected over two years; and Type 2, based on a model trained exclusively on images from the first year, were implemented. Type 1 identification, which used a CNN combined with the KNN and SVM classifiers, exhibited an accuracy exceeding 99.75 and 92.93% for the ventral and head regions, respectively. Type 2 identification exhibited a reduced accuracy because of a comparatively smaller amount of learning information; the proposed CNN achieved 83.99% accuracy for ventral identification and 67.14 and 65.61% for head identification with KNN and SVM, respectively. This study underscores the efficacy of DML and CNN for handling small, imbalanced datasets in identifying individual crocodiles, and has significant implications for traceability and conservation initiatives in the crocodile industry.

Environmental impacts and mitigation potentials of CO2-based biodegradable plastic based on life cycle assessment – A case study of poly(propylene carbonate)

CO2-based biodegradable plastics are potential solutions for reducing fossil-fuel consumption, mitigating climate change, and addressing plastic pollution by reducing plastic waste accumulation. Poly(propylene carbonate) (PPC) is a commercial CO2-based biodegradable plastic derived from CO2 and propylene oxide (PO), and it has been used in flexible packaging and mulching film applications. However, the environmental performance of PPC is still unknown. Since China has become the largest producer of PPC in the world, this study takes the industrial production technologies of PPC and its feedstocks in China as an example. The cradle-to-gate life-cycle inventory of PPC resin was compiled, and life-cycle impact assessment was performed to assess the environmental impacts of PPC and mitigation potentials based on the ReCiPe 2016 method. Results indicated that PPC synthesis has the greatest impact on the environment (contributions of 38–95% of 16 environmental impact categories), followed by PO production. Technological innovation and renewable energy substitution scenarios were developed to explore the mitigation potential of PPC. We found that supercritical polymerization technology has greater mitigation potential than photovoltaic power substitution, which could reduce 17 impact categories of PPC by 17–96% by reducing energy and dichloromethane consumption during PPC synthesis. Photovoltaic power substitution reduced 2–22% of 11 impact categories of PPC. Compared with conventional plastics, PPC had advantages over conventional plastics in terms of 17 impact categories. The environmental impacts of PPC were 2–98% lower than those of conventional plastics. This study emphasizes the importance of technological innovation in reducing the lifecycle environmental impacts of PPC and provides a basis for environmental performance of CO2-based biodegradable plastics and the potential to replace conventional plastics. Policy implications for innovations in synthesis technology, sustainable feedstocks and environmental impact assessment were proposed, which could provide valuable insights for practitioners and policymakers in enhancing the sustainability of the plastics industry through biodegradable plastic alternatives.

Flexible working arrangements on employee well-being concerning the mobile telecommunication industry

PurposeThe well-being of employees is very crucial, especially for the survival and sustainability of the mobile telecommunication industry and thus, the deployment of flexible working arrangements becomes paramount for managers and industry practitioners to implement. This research aimed to assess the impact of flexible working arrangements on employee well-being within the mobile telecommunication industry.Design/methodology/approachUtilizing multiple linear regression analysis, the research tested hypotheses to examine the significance of the relationships. Grounded in the Border Theory of Balanced Work, the study sought to explore the relationship between flexible working arrangements, including flextime schedules, compressed workweeks and telecommuting and various dimensions of employee well-being.FindingsThe results of the study demonstrated a statistically significant positive effect of flexible working arrangements on employee well-being within the mobile telecommunication industry. It concluded that flexible working arrangements that are measured with a flextime schedule, a compressed workweek and telecommuting improve employee well-being through psychological well-being, social well-being and workplace well-being.Originality/valueThis research contributes to the existing body of knowledge by establishing a positive connection between flexible working arrangements and employee well-being in the context of the mobile telecommunication industry. Managers of telecommunication firms should continue with the implementation of flexible working arrangements to enhance the well-being of their employees. The study provides valuable insights for both scholars and industry practitioners, emphasizing the significance of continued implementation of flexible working arrangements to promote and sustain the well-being of employees.

Model Safety Behaviour untuk Mengurangi Accident dalam Menjaga Keberlanjutan Industri Pariwisata Madura

The tourism industry is a key player in the global economy, generating billions of dollars in revenue and providing jobs for millions of people around the world, contributing more than $6 trillion annually, employing more than 250 million people, and generating 7% of global GDP (World Travel Tourism Council, 2018). However, as the industry grows, comes the responsibility to ensure the safety and well-being of employees and tourist visitors. Safety is critical in maintaining the reputation and sustainability of the tourism industry, while employee safety is critical in ensuring a productive and positive work environment. In recent years, there has been growing concern about safety practices in the tourism industry, prompting researchers to investigate the factors that contribute to safe behavior among employees. This research focuses on the impact of safety knowledge and safety behavior in the tourism industry so that it has an impact on reducing the number of accidents. The aim of this research is to provide insights that can help improve safety practices and ensure a positive and safe experience for employees and tourists at destinations in Madura and reduce accident incidents.

Investigation of non-chemical CO2 microbubbles for enhanced oil recovery and carbon sequestration in heterogeneous porous media

Non-chemical CO2 microbubble (MB) is a promising environmentally friendly technology for enhanced oil recovery (EOR) and carbon sequestration. Understanding the interaction between non-chemical CO2 MB and oil phases in porous media is crucial for optimizing the design of CO2 MB to enhance both EOR and carbon sequestration efforts. This study explores the impact of oil on the conformance control of non-chemical MB and conducts a case study on their potential for EOR and carbon sequestration in a heterogeneous reservoir. First, experimental results reveal that MB's conformance control is impacted by the presence of oil, with varying degrees of impairment depending on oil composition. Then, reservoir simulations demonstrate that MB outperforms conventional CO2 flooding and water-alternating-gas (WAG), achieving a final recovery of 77.48% of original oil in place compared to 66.79% of original oil in place for CO2 flooding and 68.19% of original oil in place for WAG. Sensitivity analyses highlight the importance of parameters such as gas-liquid ratio of MB, reservoir heterogeneity, and reservoir thickness in MB's EOR performance. Finally, CO2 storage efficiency analyses show that MB exhibits superior CO2 storage efficiency, with higher structural and solubility trapping compared to WAG. The study concludes that MB technology holds promise for EOR and carbon sequestration, contributing to efforts toward carbon neutrality and sustainable oil recovery practices. These findings provide valuable insights for optimizing MB applications in field-scale operations and advancing toward a more environmentally sustainable energy industry.

Influence of aluminum waste, hydrogen peroxide, and silica fume ratios on the mechanical and thermal characteristics of alkali-activated sustainable raw perlite based geopolymer paste

Geopolymer concretes have great potential in the sustainable construction industry in the future, as they can be produced without using cement and waste materials can be used as binders. This paper explores the use of sustainable, lightweight geopolymer pastes as construction materials using raw perlite as the primary ingredient. It achieves this by alkaline activation with additives such as waste aluminum lathe (Al), Hydrogen peroxide (H2O2) and silica fume (SF). The experiments were conducted in four groups: Al added in the 1st group, Al + Silica fume (SF) in the 2nd group, H2O2+SF in the 3rd group, and Al + H2O2 in the 4th group. Apparent density, compressive strength, flexural strength, and thermal conductivity tests were performed at 7, 14, and 28 days. SEM and EDX analyses were also conducted. The results showed that as the ratio of Al and H2O2, which have a aerating effect, increased, decrease in apparent density and strength was observed. However, when Al + SF were added together, significant improvements of 10%–20% were observed in compressive and flexural strengths, as well as apparent density. 35% water/pearlite ratio and 0.50% Al addition reduced compressive strength by 5% and lightened apparent density by 15%. At 40% water/pearlite ratio, 0.50% Al addition reduced compressive strength by 10% and lightened apparent density by 5%. According to these results, the best performance is obtained with 35% water/pearlite ratio and 0.50% Al addition Furthermore, the addition of lightweight SF resulted in good geomerization and reduced crack formation. This effect was evident in the internal structure based on SEM analysis. Interestingly, despite aluminum's overall high thermal conductivity, its incorporation into raw perlite-based pastes resulted in reduced thermal conductivity.

Microwave-enhanced catalytic conversion of fatty acid ester to olefins by Na-ZSM-5

The bio-based production of essential chemicals is important for the sustainability of the chemical industry. Here, we demonstrate efficient olefin production from methyl oleate using Na substituted ZSM-5 (Na-ZSM-5) and microwave irradiation. Na-ZSM-5 exhibits superior microwave heating properties compared to H-ZSM-5 and other zeolites. It was more effective in converting methyl oleate to olefins such as ethylene and propylene than H-ZSM-5 or Y zeolites. Microwave irradiation promoted the conversion efficiency of methyl oleate by Na-ZSM-5, achieving an olefin yield over four times higher than that obtained with conventional heating (CH) using an electric furnace. Meanwhile, the aromatization to benzene, toluene and xylene (BTX) was suppressed using Na-ZSM-5, which was attributed to the removal of strong acid sites. In addition, in situ microwave XRD revealed that microwaves promoted temperature-dependent structural changes in Na-ZSM-5 at lower temperatures than CH, suggesting that microwaves form localized high temperatures in the zeolite. These localized high temperatures effectively enhance olefin production via microwave irradiation.

AI-powered deep learning for sustainable industry 4.0 and internet of things: Enhancing energy management in smart buildings

With the increasing demand for energy in urban areas, there is a pressing need to manage energy consumption more effectively. Buildings, especially commercial and industrial ones, are major consumers of energy. Implementing AI-powered solutions can help monitor, predict, and reduce energy usage, leading to substantial cost savings and more efficient energy use. Integrating Industry 4.0 and the Internet of Things (IoT) into smart buildings presents a significant opportunity for enhancing energy management through advanced technologies. The increasing demand for energy in urban areas necessitates the development of more efficient energy management strategies, particularly within smart buildings, which are significant energy consumers. This study proposes an AI-powered deep learning framework utilizing Convolutional Neural Networks (CNNs) to enhance energy management in smart buildings, leveraging the ASHRAE - Great Energy Predictor III dataset. The proposed framework leverages deep learning techniques to analyze historical energy data, weather conditions, and building characteristics to forecast future energy usage accurately. Additionally, the framework includes anomaly detection mechanisms to identify inefficiencies and faults in the energy management system. By optimizing energy consumption in real-time and implementing demand response strategies, the framework aims to reduce energy costs and enhance the overall efficiency of smart buildings. The proposed CNN-IoT-based energy management framework in smart buildings demonstrates significant advancements over existing methods, achieving an accuracy of 88 %. These performance metrics indicate a substantial improvement in prediction accuracy and efficiency compared to existing approaches such as SVM, ELM, and LSTM.

An experimental investigation into crashworthiness of filament wound intra-yarn hybrid glass/jute epoxy composites tubes under quasi-static axial and lateral compression

The increasing demand for sustainable materials in the automotive industry has driven the research towards exploration of natural fiber composites for crash structures. This study investigates the quasi-static axial and lateral crushing behavior of hybrid glass/jute fiber epoxy tubes. Intra-yarn hybrid mixing ratios of jute and glass fibers were tested to evaluate the feasibility of using natural fibers as eco-friendly alternatives to traditional synthetic composites. A total of five different configurations were fabricated using filament winding process. The experimental results were analyzed for collapsing behavior, failure modes, and energy absorption characteristics. The hybrid epoxy tubes revealed fiber-matrix fracturing, local buckling, and delamination as three primary failure modes under crushing tests. The hybrid configuration with 25 % jute fiber and 75 % glass fiber demonstrated optimal crashworthiness performance, achieving the highest specific energy absorption (SEA) values of 15.85 J/g under axial loading and 2.96 J/g under lateral loading. The configurations with higher jute content of 50 % and 75 %, showed decreasing SEA and crush force efficiency (CFE) values, with brittle fracturing and delamination as dominant failure modes, indicating a trade-off between weight and energy absorption efficiency. The neat glass fiber configuration maintained nearly consistent CFE values of 0.55 and 0.56, between axial and lateral loadings respectively, demonstrating isotropic behavior in energy absorption. Conversely, the neat jute fiber configuration improved SEA to 12.14 J/g under axial loading but exhibited significant limitations under lateral loading, with SEA decreasing to 0.69 J/g. Visual examination of crushed samples highlighted local buckling in GF configurations and brittle fracturing in hybrid and neat jute fiber configurations. The scanning electron microscope (SEM) analysis provided detailed insights into the microstructural characteristics and failure mechanisms, highlighting the inter-laminar debonding between the jute and glass fibers in hybrid configuration. By evaluating the combined effects of hybridization and loading conditions, the present study contributes to developing eco-friendly and efficient materials for automotive safety, aligning with industry sustainability goals.

(Invited) Electrolysis of Liquid Dairy Cow Manure into Clean Reusable Water

Livestock wastewater management is a critical concern in the United States, with an annual production of 1.2 to 1.37 billion tons of waste, surpassing human waste by three to twenty times. This mismanagement poses significant threats to freshwater sources, ecosystems, and public health. Agriwater’s project proposes an innovative solution using electrocoagulation (EC) treatment. The EC technique is a process involving the intentional corrosion of aluminum or iron electrodes to introduce trivalent ions, facilitating the co-precipitation and coagulation of contaminants, making their removal as sludge easier. The project's primary objective is to use electrolysis to convert liquid animal waste into clean water for irrigation, drinking, and farm maintenance. This solution is vital for various farms, including those facing drought, zero-discharge, and EPA-permitted farms discharging manure into rivers. Preliminary research shows EC's potential to significantly reduce turbidity and phosphate levels in livestock wastewater, forming the basis for scalable on-site treatment. The project team, with expertise in electrolysis, wastewater treatment, and agricultural engineering, ensures the development of an industrial-grade water treatment system. This project is in collaboration with Oak Ridge National Laboratory and the University of Tennessee's Dairy Farm and addresses immediate environmental challenges that contribute to a more sustainable and responsible agricultural industry.

The Silent Threat: Unraveling the Impact of Rabies in Herbivores in Brazil.

Rabies, a zoonotic viral disease, poses a significant threat due to its adaptability to diverse environments. Herbivore rabies, predominantly affecting cattle, horses, and goats in Brazil, remains a concern, results in substantial losses in the livestock industry, and poses risks to public health. Rabies virus transmission, primarily through hematophagous bats in Latin America, underscores the need for effective strategies, and vaccination plays a crucial role in controlling herbivorous rabies, with systematic vaccination beingly the primary method. Efforts to control rabies in herbivores include vaccination campaigns, public awareness programs, and the enhancement of surveillance systems. Despite these initiatives, rabies persists and imposes an economic burden and a significant health risk. Economic impacts include losses in the livestock industry, trade restrictions on livestock products, and financial burdens on governments and farmers owing to control measures. Despite the considerable costs of campaigns, surveillance, and control, investing in rabies vaccination and control not only safeguards livestock, but also preserves public health, reduces human cases, and strengthens the sustainability of the livestock industry. Mitigating the impact of herbivorous rabies in Brazil requires integrated approaches and continuous investments in vaccination, surveillance, and control measures to protect public health and ensure the sustainability of the livestock industry, thus contributing to food and economic security.