Livestock Farming Research Articles

Highly Specific Polyphenolic Colloids as Alternatives to Antimicrobials in Livestock Production.

The dispersion of antibiotics in livestock farming represents a health concern worldwide, contributing to the spread of antimicrobial-resistant bacteria through animals, the environment, and humans. Phenolic compounds could be alternatives to antibiotics, once drawbacks such as their low water solubility, bioavailability, and reduced stability are overcome. Although nano- or micro-sized formulations could counter these shortcomings, they do not represent cost-effective options. In this study, three phenolic compounds, obtained from wood-processing manufacturers, were characterized, revealing suitable features such as their antioxidant activity, size, and chemical and colloidal stability for in-field applications. The minimum inhibitory concentration (MIC) of these colloidal suspensions was measured against six bacterial strains isolated from livestock. These particles showed different inhibition behaviors: Colloidal chestnut was effective against one of the most threatening antibiotic-resistant pathogens, i.e., S. aureus, but ineffective toward E. coli. Instead, colloidal pine showed a weak effect on S. aureus but specificity toward E. coli. The present proof-of-concept points at colloidal polyphenols as valuable alternatives for antimicrobial substitutes in the livestock context.

Penerapan Jamu Ternak Menggunakan Bahan Alami Kepada Peternak di Dusun Kiera Kabupaten Maluku Barat Daya

Indonesia's nature has quite high biodiversity, especially plants and is a cultural heritage in utilizing medicinal plants to treat various diseases. This makes many farmers utilize local medicinal plants to be mixed into traditional medicines called livestock herbal medicine. The Community Service Program (PKM) carried out by PSDKU lecturers in the Animal Husbandry Study Program at Pattimura University in West Maluku Regency in collaboration with KKN students through training in making traditional herbal medicine for livestock carried out in Kiera Hamlet, Tounwawan Village, West Maluku Regency. The purpose of implementing this service is to introduce, practice and motivate livestock communities to mix livestock herbal medicine using simple tools and materials available in the surrounding environment. As well as obtaining economic potential in the form of increased income and welfare of livestock communities. The results obtained from this PKM activity were that all participants were very enthusiastic in participating in the intended activity because it was in accordance with the needs of livestock farmers.

Understanding Market Dynamics and Profitability in Small Ruminant Marketing: An Economic Analysis in Southern Karnataka, India

Small ruminants, particularly sheep and goats, play a crucial role in India's agricultural economy, serving as a significant source of income and livelihood for millions of small and marginalized farmers. In regions like Southern Karnataka, where livestock farming is integral part of rural households as they are not only a source of meat, wool, and milk but also provide financial security during times of economic distress. Despite their importance, the marketing of small ruminants remains largely unorganized, posing significant challenges for farmers. The marketing of small ruminants such as sheep and goat involves the procurement of animals at primary markets from farmers, selling these animals at local markets, and further distribution to terminal markets through wholesalers or commission agents. For sheep and goat farmers, selecting the appropriate marketing channel is crucial, as the benefits they receive are largely dependent on this choice. The chosen channel must minimize marketing costs while maximizing the farmer's share of the consumer's rupee. So, this study was undertaken focusing on analysing the existing marketing channels for small ruminants in Karnataka, particularly sheep and goats, and to evaluate the cost structure of different marketing channels, understand the role of middlemen, and propose measures to reduce marketing costs and improve the farmers' share of profits. In the study area, four primary marketing channels were identified: (1) Farmer → Village Trader → Wholesaler/Butcher, (2) Farmer → Local Trader → Wholesaler/Butcher, (3) Farmer → Local Trader → Farmer, and (4) Farmer → Wholesaler → Distant Trader. The cost of marketing is a significant concern for sheep and goat farmers, encompassing expenses such as transportation, feeding, market fees, middlemen charges, personnel expenses, and loading/unloading fees. The average marketing cost per animal across various channels was ₹91.71, with transportation costs making up the largest portion (49.61%), followed by feeding costs (14.72%) and middlemen charges (17.01%).This highlights the challenges related to high transportation costs and inadequate market facilities, particularly for sheep and goat marketing. So, to improve the marketing efficiency and reduce costs for sheep and goat farmers, there is a need for the establishment of regulated markets for livestock and enhancing the transportation facilities in the rural areas to help farmers realize better prices for their small ruminants.

The Influence of Climate Perception and Low-Carbon Awareness on the Emission Reduction Willingness of Decision Makers in Large-Scale Dairy Farming: Evidence from the Midwest of Inner Mongolia, China

In recent years, global climate change has profoundly influenced natural ecosystems and human societies, making climate mitigation and carbon emission reduction a point of consensus among the international community. The issue of carbon emissions in agriculture, particularly in the livestock sector, is garnering increasing attention. This study focuses on large-scale dairy farms in the central and western regions of Inner Mongolia, exploring their low-carbon production behavioral intentions and influencing factors. By constructing a structural equation model (PLS-SEM), we systematically analyze the relationships between variables such as climate perception, value judgment, attitude, subjective norms, and perceived control and their combined effects on low-carbon production behavioral intentions. The findings suggest that the influence of climate perception and low-carbon awareness is mediated. Thus, the stronger the farm owners’ perception of climate change, the more they recognize the value of low-carbon production and the greater the social pressure they experience and their sense of self-efficacy. The farm owners’ attitudes, perceptions of social norms, and evaluations of their own capabilities collectively determine their intentions regarding low-carbon production. Furthermore, multi-group analysis showed significant heterogeneity in behavioral intentions between different scales of dairy farms. Small-scale farms, due to their weaker economic capacity, tend to harbor negative attitudes towards low-carbon production, while large-scale farms, with greater economic power and sensitivity to policy and market demands, are more likely to take low-carbon actions. This study provides theoretical support for formulating effective low-carbon policies, contributing to the sustainable development of the livestock sector and agriculture as a whole.

The Influence of Rural Ecological Environment Development by China's Industrialization Process

This article aims to solve the problem of heavy pollution load in rural ecological environment at present. This article elaborates on the relevant concepts and theories of rural industrialization and ecological environment protection, mainly using a combination of qualitative and quantitative methods to analyze the current situation of rural ecological environment pollution in the research area. The research results indicate that the current rural ecological environment pollution load in China is heavy and severe, especially the use of fertilizers, pesticides, agricultural plastic films, livestock and poultry breeding, rural life, and township enterprise production, which have caused varying degrees of harm to the regional rural ecological environment. Therefore, effective measures must be taken to achieve the organic combination of rural industrialization and ecological environment protection. This article provides guidance for promoting the optimization and upgrading of rural industrial structure, achieving a win-win situation of economic and ecological benefits.

Impact of digital technologies on farm operational activities: A case study analysis between Germany and Finland

Digitalization is a fundamental component of the European Commission's (EC) initiative to modernize agriculture, its associated activities, and rural areas within the European Union (EU). Advancements in digitalization, including robots, sensors, drones, global positioning systems (GPS), and online platforms, have created new activities, products, and services, significantly impacting farm operational activities. This study explores the potential future implications of digitalization in livestock farming in Baden-Württemberg (Germany) and North Savonia (Finland). The focus will be on examining how digital technologies transform livestock farming practices. The findings highlight the potential benefits of digitalization in improving animal welfare, efficiency, and sustainability, and addressing challenges in the livestock sector. Quantitative instruments were used to assess how implemented digital technologies impact farm activities. In addition, a structured questionnaire with specific questions was created and distributed online to farmers involved in livestock farming. Farmers in both countries reported that the use of digital technologies improved their working conditions, safety and health standards, decision-making processes, and product quality. Farmers in Finland and Germany had different opinions regarding the influence of digitalization on several aspects of farming. Finnish farmers noted a significant impact of digitalization on improving cooperation with other chain actors and access to new markets and financial resources, contrary to farmers in Germany. Digital adoption on farms has a significant impact beyond the farm since it influences decision-making and sustainability outcomes as the food chain becomes more vertically integrated.

Quantification of wildlife visits to pig farms via camera traps in Japan

Infectious diseases in livestock not only cause significant economic losses but also affect food security. Although wildlife may be involved in these infectious diseases by serving as reservoirs, research has primarily focused on livestock and related species. Moreover, while these species represent a potential threat in wildlife-borne infectious diseases, comprehensive surveys of the presence of various species are limited. In this study, we aimed to quantitatively investigate the occurrence of various mammals and birds at three pig farms in Japan. We conducted camera trap surveys from October 15, 2020, to March 24, 2022, and determined the relative abundance index inside and outside the sanitary control zone. Wild boar (Sus scrofa), sika deer (Cervus nippon), and Japanese serow (Capricornis crispus) were photographed only outside the sanitary control zone. In contrast, small and medium-sized mammals, such as feral cats (Felis catus), raccoons (Procyon lotor), and rodent species (Muridae), and birds, such as the rufous oriental turtle dove (Streptopelia orientalis) and crows of the genus Corvus, were photographed both inside and outside the sanitary control zone. This comprehensive quantitative evidence suggests that various mammals and birds may be in indirect contact with livestock, highlighting the need to improve biosecurity at livestock farms. Moreover, while fences are effective against large mammals, they are inefficient against small to medium-sized mammals and birds. Therefore, the results of this study provide important insights into enhancing biosecurity on livestock farms by strengthening physical fencing, disinfecting clothing and equipment, and complying with standards of hygiene management.

Predicting future adoption of early-stage innovations for smart farming: A case study investigating critical factors influencing use of smart feeder technology for potential delivery of methane inhibitors in pasture-grazed dairy systems

Globally, livestock farmers are challenged with reducing greenhouse gas emissions to mitigate climate change. A potential option for pasture-based dairy farmers involves including methane-inhibiting compounds in the diet. A novel approach to deliver these compounds with the required frequency and precision is via smart-feeders, an existing smart farming technology used to feed supplements automatically to animals in-paddock. For this innovation to be successful, however, it must integrate with farm systems and provide farmers with a positive value proposition. The aim of this study was to examine the farm system and technology factors influencing potential uptake of in-paddock smart technologies for delivering methane inhibitors in pasture-grazed systems. We utilized an adoption prediction tool (ADOPT) to model the adoption outcomes of smart-feeders as methane inhibitor delivery mechanisms on dairy farms, with input from industry experts and farmers via focus groups. The results indicated low adoption of smart-feeders in a pasture-based system context. This was further explored with a sensitivity analysis of seven critical ADOPT factors which were identified as influential through the farmer focus groups. We modelled the impact of the seven critical ADOPT factors for two smart-feeder concepts to evaluate their relative adoption potential. The adoption modelling showed that while factors such as technology cost and function were important, adoption would also be highly influenced by future regulation settings, innovation uncertainty, and the alignment with farmer values and worldviews about their farm system. This research highlighted that in-paddock delivery technology, and processes for its use on-farm, represents an early-stage innovation and therefore is vital that farmers and other stakeholders are involved in further development to ensure adoption factors are addressed.

Possibilities and challenges for converting waste biomass into fuel, feed, and fertilizer in Nepal

Waste biomass is mainly used conventionally, without being converted into valuable products in developing countries, e.g., Nepal, mainly due to a lack of proper conversion knowledge, infrastructure, and resource data. We assessed the amount of biomass at sub-national (geography, province, and district) levels in Nepal to explore its conversion possibilities and challenges. Our assessment includes waste biomass such as agriculture crop residues, municipal waste, livestock, and human waste. We identified their current utilization practices and discussed their conversion possibilities, focusing on fuel, feed, and fertilizers. We estimated that about 1.7–5.0 million tonnes (Mt) of pellet/briquette and biochar, 1.7–5.1 Mt of feed block, 129–387 million m3 of biogas, and 0.6–1.9 Mt of fertilizer can be produced in Nepal. The conversion of the waste biomass into valuable products can have significant environmental and economic benefits. Our findings can help authorities formulate appropriate policies and entrepreneurs to develop business plans for proper biomass utilization in Nepal at national and subnational levels.

Combining the Vaginal Microbiome and Serum Metabolome to Screen for Potential Biomarkers of Early Pregnancy in Cows.

Early pregnancy diagnostic techniques are of significant importance in livestock farming, particularly in dairy farming. This study aimed to screen artificially inseminated cows for potential biomarkers at day 21 of pregnancy using microbiota-metabolomics analysis. The microbiome analysis revealed significant changes (p < 0.05) in the composition and abundance of the vaginal microbiota in cows after pregnancy. Notably, there was an increase in the abundance of [Eubacterium]_hallii_group (p < 0.05) associated with the production of short-chain fatty acids in the pregnant group compared with the non-pregnant group. Furthermore, significant alterations were observed in the serum metabolome, with notable changes in the concentrations of prolyl-hydroxyproline (Pro-Hyp) (p < 0.01) and bonactin (p < 0.01). The majority of differential metabolites clustered within the pathways of amino acid metabolism and lipid metabolism, with lipid metabolism exhibiting a higher proportion and playing a pivotal role in early pregnancy. An enzyme-linked immunosorbent assay was employed to quantify three key metabolites of the arachidonic acid pathway. The results demonstrated significant decreases in serum concentrations of leukotriene B4 (LTB4) (p < 0.05) and prostaglandin F2α (PGF2α) (p < 0.01) and no significant changes in arachidonic acid (AA) (NS) concentrations after 21 days of gestation in cows. Spearman's correlation analysis was utilized to investigate the interrelationship between the vaginal microbiota and serum metabolites. In conclusion, the present study demonstrated that biomaterials such as bonactin, Pro-hyp, LTB4, PGF2α in serum metabolites and [Eubacterium]_hallii_group in the vaginal flora of cows could be utilized as potential biomarkers for 21 days of gestation in cows.

PRODUÇÃO DE SILAGEM COM RESIDUO UMIDO DE CERVEJARIA PARA ALIMENTAÇÃO DE VACAS LEITEIRAS.

Dairy farming in the State of Amazonas only exists on an industrial scale because of the high cost and lack of availability of cattle feed imported into the State. There is a concrete difficulty in establishing quality forage plantations due to the inadequate climate and soils, causing livestock farming to cause environmental degradation and being considered an activity with a high negative impact due to fires to obtain new pasture areas. At the same time, waste from the local brewery industry is discarded when it could be used to feed dairy cows. The aim was to develop a simple way to use waste from a brewery located in the city of Manaus as an alternative to the high-cost feed used in industrial dairy farming and, possibly, to make family farming (Carvalho et al., 2021) viable through a methodology that defines the specific conditions for sun drying and proper storing of the wet waste, ensuring an increase in the product’s shelf life and enabling its river distribution to the inland of the state (Salman, 2020).

Updated checklist of the Culicoides Latreille biting midges (Diptera: Ceratopogonidae) of Galicia (NW Spain): Diversity, distribution and medical-veterinary relevance.

Culicoides Latreille biting midges are vectors of high concern as they can transmit serious veterinary diseases such as bluetongue virus or epizootic haemorrhagic disease virus, among others. Little is known about these vectors in Galicia, so a comprehensive literature review and an intensive monitoring were carried out in the region. The Autonomous Community of Galicia was sampled through three different vector surveillance projects between 2004 and 2023. A total of 239 sampling points were deployed alongside the Galician territory. In addition, a literature review of Culicoides in Galicia related content was made by consulting several digital repositories. A total of 33 species of Culicoides belonging to 8 subgenera were identified. Among them, 15 are considered or suspected to be potential vectors of several pathogens of medical and/or veterinary interest. In addition, 20 of them are reported for the first time in the region. Updated distribution maps of the Culicoides biting midges of Galicia were provided, including several notes regarding their ecology and relevance for both public health and animal welfare. The present work is one of the most complete works made at regional level in Spain to date. As Galicia's economy relies heavily on livestock farming, this work will provide a solid baseline in order to develop new research lines in the future regarding prevention to vector-borne diseases.

Mapping ecological resource use and supply-consumption difference in China from 2000 to 2020

Net primary production (NPP) is a vital ecological resource essential for ecosystem services and economic development. Human appropriation of NPP (HANPP) measures the aggregate impact of human activities on the biomass produced annually in ecosystems. However, the coarse mapping of HANPP hinders the identification of the spatial dynamics in ecological resources use and the high-pressure areas. Using machine learning, our study annually mapped China’s HANPP at 1 km resolution due to grain, wood and animal production as well as land use changes from 2000 to 2020. High-pressure ecological resource zones expanded, primarily due to livestock farming. The pressure of ecological resources varied along the longitudinal axis. Ecological resource use is generally low in poverty areas. The spatial patterns of the supply-consumption difference of the ecological resources were also mapped, reflecting the spatial flows of ecological resources from poverty areas to non-poverty areas. This promotes the sustainable development in both areas.

Iridaea cordata lipid extract associated with the rCP01850 protein of C. pseudotuberculosis elicited a Th1 immune response in immunized sheep

Sheep farming contributes to the socioeconomic development of small and medium-scale livestock farmers. However, several factors can hinder successful animal production, as is the case for infectious diseases, such as the one caused by Corynebacterium pseudotuberculosis, known as caseous lymphadenitis (CLA). CLA has >90% prevalence in Brazilian herds and antibiotic treatment is not effective, consequently causing significant economic losses to farmers. Given the above, effective vaccines need to be developed to prevent this disease. This study aimed to evaluate the adjuvant activity of the lipid extract from the macroalgae Iridaea cordata as a candidate for developing an effective vaccine formulation. For such, four groups of six sheep each were inoculated with sterile 0.9% saline solution (G1), rCP01850 (G2), rCP01850 + I. cordata (G3), and rCP01850 + saponin (G4). Each sheep received two vaccine doses 30 days apart. Total IgG production levels significantly increased in experimental groups G3 and G4 on days 30, 60, and 90. On day 90, G3 showed higher total IgG production (p < 0.05) when compared to G4. When analyzing cytokine production, G3 was the only experimental group with significantly increased IFN-γ, IL-12, TNF-α, and IL-10 mRNA expression levels. Our results show the vaccine formulation containing rCP01850 adjuvanted with the I. cordata lipid extract elicited a Th1 immune response in sheep, indicating I. cordata lipid extract may be a promising adjuvant for developing an effective vaccine against infection caused by C. pseudotuberculosis.

Efficient electrochemical removal of ammoniacal nitrogen from livestock wastewater: The role of the electrode material

Wastewater from livestock farms contains high concentrations of suspended solids, organic contaminants, and nitrogen compounds, such as ammoniacal nitrogen. Discharging livestock effluents into water bodies without appropriate treatment leads to severe environmental pollution. Compared to conventional treatment methods, electrochemical oxidation exhibits higher nitrogen removal efficiencies. In the present work, the electrochemical removal of ammoniacal nitrogen from real livestock wastewater was investigated through a lab-scale reactor. Preliminary experiments were carried out to investigate the effects of different anode materials, including boron-doped diamond and iridium/ruthenium-coated titanium, on the total nitrogen removal efficiency using synthetic wastewater. Boron-doped diamond, a well-known non-active electrode, allowed to obtain 63.7 ± 1.21 % of total nitrogen degradation efficiency. However, the iridium/ruthenium-coated titanium electrode, belonging to the class of active anodes, showed a higher performance, achieving 78.8 ± 0.76 % contaminant degradation. Coupling iridium/ruthenium-coated titanium anode with a stainless-steel cathode improved the performance of the system, achieving even 96.2 ± 2.73 % of total nitrogen removal. The optimized cell configuration was used to treat livestock wastewater, resulting in the degradation of 67.0 ± 2.25 % of total nitrogen and 37.3 ± 0.68 % of total organic carbon when sodium chloride was added. At the end of the process, the ammonium content was completely removed, and only 17.7 ± 0.51 % of the initial nitrogen turned into nitrate. The results show that the proposed system is a promising approach to treating livestock wastewater by coupling high contaminant removal efficiencies with low operational costs. Anyway, further studies on process optimization with an emphasis on power requirements and electrode costs need to be carried out.

A booster to conditional cash transfer programme: experimental evidence on financial inclusion and livelihood enhancement project

ABSTRACT While Conditional Cash Transfer (CCT) Programmes have contributed to sustained economic growth in many countries, existing evaluations show that the Honduran CCT programme has only a modest impact on poverty. This study examines a causal impact of a training project on financial inclusion and livelihood enhancement conducted as a booster to increase the effectiveness of the CCT programme. Based on a graduation approach, the project provides multi-faceted interventions to randomly selected CCT beneficiaries. We estimate intention-to-treat effects and find that the interventions significantly increase financial literacy and inclusion, including knowledge of financial institutions, financial accounts, bookkeeping, and pro-saving attitudes. We also find that the treated individuals in rural areas gain significant income from business, livestock farming, and agriculture by switching employment. Importantly, we find evidence that the interventions contribute to female empowerment by changing the intra-household decision-making process. The impact is much larger in rural areas, where financial markets are underdeveloped, and the traditional gender pattern is more prevalent. The intervention seems to reduce the urban-rural gap.

Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning

Monitoring animal welfare, disease prevention, vaccination administration, production supply, and ownership management all depend on accurate cattle identification. Ear tag-based cattle identification techniques are frequently used in livestock farm management. These are not used to identify specific cattle on large-scale farms. However, ear tags can come off, which makes it challenging to identify a particular individual. Ear tags are susceptible to fraud, can be copied, and run the risk of being damaged. Long-term animal identification is impossible with lost tags. For this purpose, a data set was created by taking images of cattle in their natural environment. The dataset, which contains 15,000 records from 30 different cattle, was divided into three sections: training, validation, and testing. Deep learning algorithms InceptionResNetV2, MobilenetV2, DenseNet201, Xception, and NasNetLarge were used in this study to identify specific cattle faces. The DenseNet201 algorithm achieved the highest test accuracy of 99.53% with a validation accuracy of 99.83%.

How does a superior quality sign guarantee the quality of lamb meat? The Label Rouge case

Owing to the social, environmental and health changes in Europe, meat quality is becoming a critical issue for the long-term future of livestock farming. Label Rouge (LR) is a quality label owned by the French government that identifies food products produced inside or outside the European Union. This label guarantees the superior quality of a product compared with a standard product. This superior quality is guaranteed throughout the production process by specifications negotiated between the Institut National de l’Origine et de la Qualité (INAO) and operators in the sector. These specifications comprise two documents: first, common production conditions that apply to all specifications in a sector, and second, a book of specifications (BoSs). These two documents, which form the qualification mechanism, are divided into several parts: product name, product description, traceability, production method, labelling and the main control points. This study aims to understand how the LR defines lamb meat quality in the 11 existing BoSs using the seven dimensions of quality of animal-source foods (nutritional, sensory, commercial, technological, safety, convenience and image). We performed a computerised qualitative transversal analysis of the commitments associated with the production method and description of the product. This analysis was enriched by five semi-structured interviews with INAO members. We show that although LR is committed to all aspects of lamb meat quality, the sensory, image and carcass commercial quality attributes are predominant. However, the image attribute of quality is so ubiquitous that it required refinement to provide a better understanding of the construction of quality in terms of its environmental, ethical and cultural components.

O PLANEJAMENTO TRIBUTÁRIO DO PRODUTOR RURAL PESSOA FÍSICA: UMA ANÁLISE SOBRE A EVASÃO FISCAL

The agribusiness is one of the most relevant sectors in the economy. In 2022, it represented 24.3% of the Brazilian GDP. Due to its complex production chain, the stage within the gate is essential, as it represents rural activities focused on agriculture and livestock farming. In these activities, rural producers make crucial decisions related to plant and animal production and the allocation of resources for these activities. The general objective of this study is to present tax planning for individual rural producers within the gate as a strategy to avoid the hypothesis of tax evasion. To achieve this, the specific objectives are to conceptualize tax planning applied to individual rural producers, present the strategic use of tax planning for individual rural producers within the gate, and analyze tax evasion by individual rural producers. The methodological approach is based on logical-semantic constructivism, being a qualitative study with bibliographic, legal, and documentary research as instruments. As results, tax planning, or fiscal avoidance, was conceptualized as a strategic tool that uses legal means to reduce the tax burden. As a tool for individual rural producers, it requires continuous effort for its full implementation, as it is embedded in the complex scenario of sector management and taxation. The study also presents tax evasion considering the incidence of Income Tax (IR), Rural Territorial Property Tax (ITR), Circulation of Goods and Services Tax (ICMS), Social Integration Program (PIS), Contribution to Social Security Financing (COFINS), and Rural Worker Assistance Fund (FUNRURAL) on individual rural producers and their ancillary obligations, highlighting the Digital Cash Book of the Rural Producer (LCDPR), eSocial, and EFD-Reinf.

Addressing water security challenges through groundwater recharge for revival of Kanari River using AHP and geospatial techniques

Artificial recharge of groundwater has been recognized as a promising option for sustaining groundwater supplies and ensure water security for the ever rising population. With the aid of geospatial and multi-criteria decision analysis methodologies, the current study's scope aids in evaluating groundwater potential zones and locating suitable zones and sites for groundwater recharge for the revival of the Kanari River. A pragmatic methodology was suggested in this study for implementing water harvesting structures for river revival and estimation of water demand, pumping, and recharge. The geometric mean and the normalized weight for individual features were specified using the AHP in a GIS environment. All the different features/datasets were overlaid, and possible groundwater zones were revealed using AHP. Integrated maps were used to identify the groundwater recharge zone and locations for establishing artificial recharge structures within the Kanari River system. Ultimately, the domestic water demand, agriculture water use, pumping, and livestock water demand were estimated for water budgeting, and based on this data, the water availability was calculated. Based on the study results, the water demand of the Kanari River watershed was estimated to be 732 MCM. Taking into consideration the supply and demand scenarios, the pumping overdraft of the Kanari River watershed was found to be 423 MCM, and the proposed additional recharge through the planned conservation structures was estimated to be 859 MCM. So, even if pumping overdraft is considered, this additional groundwater recharge can fulfill the local demand, help maintain the river flow, and ensure water availability and security in the region.