# Dairy Farm Mechanization: Automation and Smart Farming Technologies ## Key Takeaways - Dairy farm mechanization, encompassing robotic milking, automated feeding, activity monitors, and smart sensors, aims to enhance operational efficiency, reduce labor, and improve animal monitoring by substituting capital equipment for manual labor. - Robotic milking systems require consistent cow traffic patterns and adequate stall design, while automated feeders necessitate regular calibration and ingredient quality monitoring to ensure precision delivery of rations. - Activity monitors and smart sensors provide continuous physiological and environmental data, but their efficacy hinges on accurate sensor function, reliable data transmission, and the farmer's ability to establish action thresholds and interpret deviations from baseline herd values. - Implementing automation necessitates a thorough cost-benefit analysis, considering capital and operating expenses against labor savings and potential production benefits, with payback periods for robotic milking systems typically ranging from five to ten years. - Successful integration of multiple automation technologies demands software compatibility, robust data management strategies, comprehensive training, and ongoing technical support, with a structured decision framework prioritizing constraint identification and technology sequencing. - While automation offers significant advantages, farmers must remain cognizant of its limitations, including technical complexity, infrastructure dependence, and the critical need to maintain animal welfare standards and worker safety through vigilant oversight and adherence to biosecurity protocols. --- Dairy farm mechanization refers to the integration of automated systems and smart farming technologies into daily herd management and milk production operations. For dairy farmers considering investment in these systems, the primary objective is to improve operational efficiency, reduce manual labor requirements, and enhance animal monitoring capabilities. This article surveys robotic milking systems, automated feeders, activity monitors, and smart sensors, providing a cost-benefit framework and integration guidance based on available evidence from official agricultural sources. ## At a Glance: Automation Technology Options The following table summarizes the main categories of [dairy farm automation](/knowledge/animal-farming/dairy-cattle/dairy-farm-automation-technologies-for-monitoring-and-management) technologies, their primary functions, and typical operational considerations. Farmers should evaluate each option against their specific herd size, facility layout, and labor availability. | Technology | Primary Function | Key Operational Consideration | |------------|------------------|------------------------------| | Robotic Milking Systems | Automated milking without human labor for each session | Requires consistent cow traffic patterns and adequate stall design | | Automated Feeders | Precision delivery of total mixed rations or concentrate | Needs regular calibration and ingredient quality monitoring | | Activity Monitors | Detection of estrus, health deviations, and rumination changes | Depends on collar or leg-band sensor accuracy and data interpretation | | Smart Sensors (temperature, pH, methane) | Continuous environmental and physiological tracking | Requires reliable data transmission and integration with herd management software | ## Core Principles of Dairy Farm Mechanization Mechanization in dairy farming follows the principle of substituting capital equipment for manual labor while maintaining or improving animal welfare and milk quality. The United States Department of Agriculture Natural Resources Conservation Service provides guidance on conservation practices that can be integrated with mechanized systems, including manure management and water resource planning [1]. Farmers should understand that automation does not eliminate management responsibility but shifts it toward system oversight and data analysis. The transformation of American agriculture since 1929 demonstrates a long-term trend toward mechanization, with dairy operations consolidating and adopting labor-saving technologies [6]. This historical context helps farmers recognize that mechanization is part of a broader structural change in agricultural production. The Food and Agriculture Organization of the United Nations emphasizes that sustainable animal production requires balancing productivity gains with environmental stewardship and animal welfare [3]. ## Robotic Milking Systems Robotic milking systems, also known as automatic milking systems (AMS), allow cows to be milked without direct human involvement during each milking session. These systems use sensors to identify individual cows, clean teats, attach milking cups, and monitor milk flow and quality. ### System Components and Operation A typical robotic milking system includes a milking stall, robotic arm, teat cleaning and attachment mechanisms, milk meters, and software for data collection. Cows voluntarily enter the milking station, often motivated by concentrate feed dispensed during the milking process. The system records milk yield, milking duration, and conductivity for each quarter, providing daily data for health monitoring. ### Management Considerations Farmers transitioning to robotic milking must adjust their management approach. Cow traffic patterns become critical, as cows must be willing to visit the milking station multiple times per day. Facility design should include well-designed holding areas and lanes that encourage voluntary movement. The Merck Veterinary Manual provides guidance on management and nutrition practices that remain relevant when implementing automated systems, including proper feeding strategies and health protocols [2]. ### Cost and Labor Implications Robotic milking systems represent a significant capital investment. Farmers should calculate the payback period based on reduced labor costs, potential increases in milk production, and changes in herd health. The system reduces the physical demands of milking but requires technical skills for maintenance and troubleshooting. Farmers should budget for ongoing service contracts and replacement parts. ## Automated Feeding Systems Automated feeding systems deliver precise amounts of feed to individual cows or groups based on nutritional requirements. These systems can include total mixed ration (TMR) delivery robots, concentrate feeders in milking parlors, and forage feeders. ### Precision Feeding Benefits Automated feeders allow farmers to adjust rations based on milk production, stage of lactation, and body condition score. This precision can improve feed efficiency and reduce waste. The system records individual feed intake, which helps identify cows with reduced appetite that may be experiencing health problems. ### Integration with Milking Systems In robotic milking systems, concentrate feeders are often integrated into the milking station to encourage voluntary visits. Farmers must balance the amount of concentrate fed during milking with the total ration provided at the feed bunk. Overreliance on concentrate can lead to metabolic disorders if not properly managed. ### Maintenance and Calibration Automated feeders require regular calibration to ensure accurate delivery. Farmers should establish a routine for checking auger operation, moisture content of ingredients, and software settings. Ingredient variability, particularly in forages, can affect ration accuracy and requires ongoing adjustment. ## Activity Monitors and Health Sensors Activity monitors and health sensors provide continuous data on cow behavior and physiology. These devices can detect estrus for timely insemination, identify early signs of illness, and monitor rumination patterns. ### Types of Monitoring Devices Common monitoring devices include neck collars that measure activity and rumination, leg bands that track steps and lying time, and ear tags with temperature sensors. Some systems also include rumen boluses that measure internal temperature and pH. The USDA National Agricultural Library provides resources on animal health and welfare that can help farmers interpret monitoring data [4]. ### Data Interpretation and Action Thresholds The value of monitoring systems depends on the farmer's ability to interpret data and take appropriate action. Farmers should establish baseline values for their herd and set alerts for deviations. For example, a drop in rumination time may indicate the onset of metabolic disease, while increased activity may signal estrus. Farmers should work with their veterinarian to develop protocols for responding to alerts. ### Limitations and False Alarms Monitoring systems can generate false alarms due to sensor malfunction, environmental factors, or normal behavioral variation. Farmers should verify alerts through direct observation before making management decisions. Overreliance on automated alerts without visual confirmation can lead to unnecessary treatments or missed health problems. ## Smart Sensors for Environmental Monitoring Smart sensors measure environmental conditions within the barn, including temperature, humidity, ammonia levels, and ventilation rates. These sensors help farmers maintain optimal conditions for cow comfort and health. ### Temperature and Humidity Monitoring Heat stress is a significant concern in dairy operations, affecting milk production and reproductive performance. Smart sensors can trigger automated ventilation systems, sprinklers, or fans when temperature and humidity thresholds are exceeded. The USDA Natural Resources Conservation Service offers technical guidance on designing ventilation systems that integrate with sensor technology [1]. ### Air Quality Sensors Ammonia sensors help farmers monitor air quality in confined housing systems. High ammonia levels can irritate the respiratory tract of cows and workers, leading to health problems. Farmers should establish ventilation protocols that maintain ammonia concentrations below recommended limits. ### Integration with Barn Management Smart sensors can be integrated with barn management software to provide real-time data and historical trends. Farmers can use this information to adjust ventilation settings, modify bedding practices, or change stocking density. Regular sensor calibration is necessary to maintain accuracy. ## Cost-Benefit Analysis Framework Farmers considering automation investments should conduct a thorough cost-benefit analysis that accounts for both financial and operational factors. ### Capital Costs Capital costs include the purchase price of equipment, installation expenses, facility modifications, and initial training. Farmers should obtain quotes from multiple suppliers and factor in shipping, taxes, and potential import duties. Financing options, including loans and leases, should be evaluated based on interest rates and repayment terms. ### Operating Costs Operating costs include electricity, maintenance, replacement parts, software subscriptions, and technical support. Farmers should estimate annual operating costs based on manufacturer recommendations and local utility rates. Some systems require specialized lubricants or cleaning agents that add to operating expenses. ### Labor Savings Labor savings are the primary financial benefit of automation. Farmers should calculate the number of labor hours eliminated and the hourly wage rate for replacement workers. Part-time or family labor may be valued differently than hired labor. Farmers should also consider the value of reduced physical strain on workers and improved working conditions. ### Production Benefits Automation can lead to increased milk production through more frequent milking, improved feed efficiency, and better health monitoring. Farmers should estimate potential production gains based on published research and local experience. Production increases are not guaranteed and depend on management quality. ### Payback Period Calculation The payback period is the time required for cumulative savings to equal the initial investment. Farmers should calculate payback using conservative estimates of labor savings and production benefits. A typical payback period for robotic milking systems ranges from five to ten years, depending on herd size and labor costs. ## Integration Tips for Multiple Systems Integrating multiple automation systems requires careful planning to ensure compatibility and data flow. ### Software Compatibility Farmers should verify that different systems can communicate with each other through a common software platform. Some manufacturers offer integrated solutions that combine milking, feeding, and monitoring data. Open protocols, such as ISO 11783, facilitate data exchange between equipment from different manufacturers. ### [Data Management](/blog/guides/data-management-basics-principles-processes-and-best-practices) Automation systems generate large volumes of data that must be organized and analyzed. Farmers should establish a data management plan that includes regular backups, data security measures, and protocols for sharing data with advisors. Cloud-based platforms offer remote access but require reliable internet connectivity. ### Training and Support Farmers and employees need training on each system's operation and maintenance. Manufacturers typically provide initial training, but ongoing education is necessary as systems are updated. Farmers should identify local technical support providers and establish service agreements before installation. ## Records and Measurements Accurate records are essential for evaluating the performance of automation systems and making informed management decisions. ### Key Performance Indicators Farmers should track key performance indicators (KPIs) for each system, including milking frequency, milk yield per cow per day, feed intake, and activity levels. These KPIs should be compared to baseline values established before automation was implemented. ### Data Recording Protocols Farmers should establish protocols for recording system malfunctions, maintenance activities, and animal health events. Digital records are preferable to paper records for analysis and sharing. Software platforms often include reporting features that generate summary statistics. ### Benchmarking Farmers can benchmark their performance against industry averages using data from regional dairy associations or extension services. Benchmarking helps identify areas for improvement and validates the investment in automation. ## Common Failure Patterns Understanding common failure patterns helps farmers anticipate problems and implement preventive measures. ### Mechanical Failures Mechanical failures in robotic milking systems often involve the robotic arm, teat cups, or milk meters. Regular preventive maintenance, including lubrication and inspection, reduces the risk of unexpected breakdowns. Farmers should stock critical spare parts and have access to emergency repair services. ### Software Glitches Software glitches can cause data loss, incorrect alerts, or system shutdowns. Farmers should install software updates promptly and maintain backup copies of system configurations. Rebooting the system often resolves minor glitches, but persistent problems require manufacturer support. ### Cow Adaptation Issues Some cows may be reluctant to use robotic milking stations, particularly older cows or those with previous negative experiences. Farmers should implement a gradual introduction protocol and provide positive reinforcement through concentrate feed. Cows that consistently refuse to use the system may need to be culled. ### Data Overload The volume of data generated by automation systems can overwhelm farmers who lack data analysis skills. Farmers should focus on a few critical metrics and use software tools that highlight deviations from normal patterns. Hiring a consultant or using extension services can help with data interpretation. ## Limitations of Automation Farmers should recognize the limitations of automation to avoid unrealistic expectations. ### Technical Complexity Automation systems require technical skills for installation, operation, and maintenance. Farmers who are not comfortable with computers and electronics may struggle with system management. Training and ongoing support are essential but may not be readily available in all regions. ### Dependence on Infrastructure Automation systems depend on reliable electricity, internet connectivity, and water supply. Power outages or internet disruptions can halt operations and compromise animal welfare. Farmers should install backup generators and consider offline data storage options. ### Animal Welfare Considerations While automation can improve animal welfare through consistent milking and health monitoring, it can also create welfare risks if systems fail or are improperly managed. The USDA National Agricultural Library provides resources on [animal welfare assessment](/knowledge/animal-farming/poultry/poultry-welfare-assessment-protocols-and-practical-implementation) that can help farmers evaluate their systems [4]. Farmers should monitor cow behavior and body condition regularly to ensure that automation does not compromise welfare. ### Economic Viability Automation is not economically viable for all dairy operations. Small herds may not generate sufficient labor savings to justify the capital investment. Farmers should conduct a thorough financial analysis before committing to automation. ## Welfare and Safety Context Animal welfare and worker safety are critical considerations in mechanized dairy operations. ### Animal Welfare Standards Automation systems should be designed and managed to meet or exceed animal welfare standards. The Food and Agriculture Organization of the United Nations emphasizes that sustainable animal production must prioritize animal health and welfare [3]. Farmers should ensure that cows have adequate space, access to feed and water, and opportunities for natural behaviors. ### Worker Safety Automation reduces some physical hazards associated with manual milking and feeding but introduces new risks related to machinery operation and electrical systems. Farmers should provide safety training for all employees and establish lockout/tagout procedures for maintenance activities. The USDA Natural Resources Conservation Service offers guidance on farm safety practices [1]. ### Biosecurity Automation systems can affect biosecurity by increasing the movement of people and equipment between farms. Farmers should establish biosecurity protocols for visitors, service technicians, and replacement parts. Cleaning and disinfection procedures should be applied to shared equipment. ### [Food Safety](/knowledge/bacteria/livestock-bacteria/cooking-chicken-bacteria-prevention) Milk quality and food safety remain paramount in automated systems. Farmers should monitor milk [somatic cell](/blog/guides/somatic-cell) counts, bacteria counts, and antibiotic residues. The Merck Veterinary Manual provides guidance on milk quality management that applies to both conventional and automated systems [2]. ## Professional Escalation Criteria Farmers should know when to seek professional assistance for automation-related issues. ### Technical Support Farmers should contact the manufacturer's technical support for system malfunctions that cannot be resolved through routine troubleshooting. Persistent software errors, hardware failures, and electrical problems require professional intervention. ### Veterinary Consultation Veterinary consultation is necessary when health monitoring systems detect abnormalities that cannot be explained by routine management. The Merck Veterinary Manual recommends involving a veterinarian in the interpretation of health data and the development of treatment protocols [2]. ### Engineering Consultation Engineering consultation may be needed for facility modifications, ventilation system design, or electrical system upgrades. The USDA Natural Resources Conservation Service provides technical assistance for conservation practices that may be relevant to facility improvements [1]. ### Financial Advisory Financial advisors can help farmers evaluate investment options, secure financing, and manage tax implications. Farmers should consult with agricultural lenders or extension economists before making major capital investments. ## Practical Decision Framework for Selecting and Sequencing Automation Technologies Selecting the appropriate automation technologies for a dairy operation requires a structured decision process that accounts for herd characteristics, facility constraints, financial capacity, and management capabilities. Farmers who approach automation investments systematically are more likely to achieve satisfactory returns and avoid costly mistakes. The following framework provides a step-by-step method for evaluating and sequencing automation technologies based on evidence from official agricultural sources. ### Step 1: Assess Current Operational Baseline Before considering any automation investment, farmers should document their current operational metrics. This baseline includes milk production per cow per day, labor hours per cow per year, feed conversion efficiency, reproductive performance indicators, and health event frequencies. The USDA National Agricultural Library provides resources on animal health and welfare that can help farmers establish baseline measurements for health-related metrics [4]. Farmers should collect at least six months of data to account for seasonal variation. ### Step 2: Identify Primary Constraints The next step involves identifying the most limiting constraint in the current operation. Common constraints include labor availability, milking capacity, feed management precision, or health monitoring capability. Farmers should rank these constraints based on their impact on profitability and animal welfare. The Food and Agriculture Organization of the United Nations emphasizes that sustainable animal production requires identifying and addressing key limiting factors [3]. For example, a farm with reliable labor but poor reproductive performance may benefit more from activity monitors than from robotic milking. ### Step 3: Evaluate Technology Options Against Constraints Each automation technology addresses specific operational constraints. Farmers should create a matrix that maps technologies to constraints and scores each option based on potential impact, implementation complexity, and capital requirement. Robotic milking systems address labor constraints in milking but require significant facility modifications. Automated feeders address feed management precision but may not reduce overall labor requirements. Activity monitors address health and reproduction monitoring but require data interpretation skills. Smart sensors address environmental management but depend on integration with ventilation and cooling systems. ### Step 4: Determine Sequencing Priority For farms that plan to implement multiple automation technologies, sequencing matters. The Merck Veterinary Manual provides guidance on management practices that should be established before introducing automation, including proper nutrition and health protocols [2]. A logical sequence often begins with monitoring technologies that provide data for decision-making, followed by feeding automation that improves nutritional precision, and finally milking automation that requires the largest capital investment. Farmers should implement one technology at a time and allow a stabilization period before adding the next system. ### Step 5: Conduct Financial Analysis with Sensitivity Testing Financial analysis should include base-case, optimistic, and pessimistic scenarios. Farmers should calculate net present value, internal rate of return, and payback period for each scenario. The USDA Natural Resources Conservation Service offers technical guidance on conservation practices that may qualify for cost-share programs, potentially improving the financial case for certain automation investments [1]. Sensitivity testing should examine how changes in milk price, labor cost, and interest rates affect the investment outcome. ### Step 6: Develop Implementation Timeline and Contingency Plan The implementation timeline should account for equipment delivery lead times, facility modifications, training periods, and cow adaptation phases. Farmers should develop contingency plans for system failures, including backup milking procedures, manual feeding protocols, and emergency veterinary care. The transformation of American agriculture since 1929 demonstrates that mechanization often proceeds unevenly, with some farms adopting technologies faster than others [6]. Farmers should plan for a transition period during which both automated and conventional systems may need to operate simultaneously. ### Record System for Automation Decision Tracking Farmers should maintain a structured record system that documents the decision-making process and tracks outcomes after implementation. The following record categories are recommended: **Pre-Implementation Records**: Baseline metrics, constraint ranking scores, technology evaluation matrix, financial analysis spreadsheets, and supplier quotes. These records provide the foundation for post-implementation comparison. **Implementation Records**: Installation dates, training completion certificates, system configuration settings, and initial cow adaptation observations. These records help identify factors that influence implementation success. **Post-Implementation Records**: Monthly performance metrics compared to baseline, maintenance logs, system downtime events, and animal health outcomes. These records enable ongoing evaluation of automation benefits. **Annual Review Records**: Summary of actual versus projected financial performance, identification of unexpected costs or benefits, and recommendations for system adjustments or additional investments. The USDA National Agricultural Library provides resources on record-keeping systems that can be adapted for automation tracking [4]. ### Troubleshooting Method for Automation Integration Issues When multiple automation systems are integrated, compatibility issues can arise. The following troubleshooting method addresses common integration problems: **Step 1: Isolate the Problem Component**: Determine whether the issue originates from a single system or from the communication between systems. Disconnect non-essential systems temporarily to identify the source. **Step 2: Verify Data Flow**: Check that data is being transmitted correctly between systems. Common issues include incorrect network configurations, incompatible data formats, or software version mismatches. The Merck Veterinary Manual recommends consulting with system manufacturers when data interpretation problems arise [2]. **Step 3: Check Power and Connectivity**: Automation systems depend on stable power and network connections. Verify that power supplies are functioning, network cables are secure, and wireless signals are strong. Power fluctuations can cause intermittent problems that are difficult to diagnose. **Step 4: Review System Logs**: Most automation systems maintain logs of events and errors. Review these logs to identify patterns or recurring issues. Farmers should establish a routine for reviewing logs weekly and after any system malfunction. **Step 5: Consult Manufacturer Support**: If the problem persists after basic troubleshooting, contact the manufacturer's technical support. Provide detailed information about the issue, including error codes, system configurations, and steps already taken. The Food and Agriculture Organization of the United Nations emphasizes the importance of technical support for successful automation adoption [3]. **Step 6: Document the Resolution**: Record the problem description, troubleshooting steps, and final resolution. This documentation helps with future troubleshooting and can be shared with other farmers facing similar issues. ### Common Failure Patterns in Technology Integration Farmers should be aware of common failure patterns that occur when integrating multiple automation technologies: **Data Silos**: Different systems may store data in incompatible formats or separate databases, preventing integrated analysis. Farmers should specify data integration requirements when purchasing systems and verify compatibility before installation. **Overlapping Alerts**: Multiple systems may generate alerts for the same event, leading to alert fatigue and missed critical notifications. Farmers should configure alert thresholds to minimize redundancy and prioritize alerts based on severity. **Software Update Conflicts**: Updating one system's software may cause compatibility issues with other systems. Farmers should coordinate software updates and verify system integration after each update. **Network Bandwidth Limitations**: Multiple systems transmitting data simultaneously can overwhelm network capacity, causing data loss or delays. Farmers should assess network requirements before installation and upgrade infrastructure as needed. ### Professional Escalation Criteria for Integration Problems Farmers should seek professional assistance when integration problems exceed their technical expertise. Specific escalation criteria include: **Persistent Data Loss**: If data is consistently lost or corrupted despite troubleshooting, consult with system manufacturers or an agricultural technology specialist. Data loss can compromise health monitoring and decision-making. **System Shutdowns**: If automation systems shut down repeatedly or unexpectedly, professional electrical or mechanical assessment is necessary. System shutdowns can compromise animal welfare and milk production. **Inconsistent Performance**: If automation systems perform inconsistently across different areas of the farm or different groups of cows, facility design or management factors may need professional evaluation. **Financial Performance Below Projections**: If actual financial performance falls significantly below projections after implementation, consult with an agricultural economist or extension specialist to identify the causes and potential corrective actions. ## Frequently Asked Questions ### What is the typical payback period for a robotic milking system? The payback period for a robotic milking system depends on herd size, labor costs, and milk prices. Farmers should calculate payback using conservative estimates of labor savings and production benefits. A typical payback period ranges from five to ten years, but individual results vary based on local conditions and management quality. ### How do automated feeders improve feed efficiency? Automated feeders improve feed efficiency by delivering precise amounts of feed based on individual cow requirements. The system records feed intake, allowing farmers to adjust rations for milk production, stage of lactation, and body condition. This precision reduces waste and improves the conversion of feed to milk. ### Can activity monitors replace visual heat detection? Activity monitors can supplement visual heat detection but may not replace it entirely. The monitors detect increased activity associated with estrus and can alert farmers to cows that are ready for insemination. Farmers should verify alerts through visual observation and consider using other methods such as tail chalk or pedometers for confirmation. ### What are the main causes of false alarms in health monitoring systems? False alarms in health monitoring systems can result from sensor malfunction, environmental factors, or normal behavioral variation. Common causes include sensor displacement, battery failure, and interference from other equipment. Farmers should verify alerts through direct observation before making management decisions. ### How much training is required to operate a robotic milking system? Training requirements vary by system complexity and the operator's technical background. Manufacturers typically provide initial training that covers system operation, maintenance, and troubleshooting. Farmers should budget for ongoing training as systems are updated and new employees are hired. ### What infrastructure upgrades are needed for automation systems? Infrastructure upgrades may include electrical system improvements, internet connectivity, facility modifications, and water supply enhancements. Farmers should consult with system suppliers and local contractors to identify required upgrades before installation. The USDA Natural Resources Conservation Service provides technical guidance for conservation practices that may be relevant to facility improvements [1]. ### How do automation systems affect milk quality? Automation systems can improve milk quality through consistent milking procedures and real-time monitoring of milk conductivity and [somatic cell](/blog/guides/somatic-cell) counts. Improper system maintenance or management can compromise milk quality. Farmers should monitor milk quality parameters regularly and follow recommended cleaning and sanitation protocols. ### What is the role of the veterinarian in automated dairy operations? The veterinarian plays a critical role in automated dairy operations by interpreting health monitoring data, developing treatment protocols, and advising on herd health management. The Merck Veterinary Manual provides guidance on veterinary involvement in dairy operations [2]. Farmers should establish a working relationship with a veterinarian who understands automation systems. ## Related Farming Guides - [Dairy Farm Manure Management](/knowledge/animal-farming/dairy-cattle/dairy-farm-manure-management) - [Dairy Cattle Farming Nutrition Housing Health Signals And Herd Management](/knowledge/animal-farming/dairy-cattle/dairy-cattle-farming-nutrition-housing-health-signals-and-herd-management) - [Dairy Cow Cooling System Management](/knowledge/animal-farming/dairy-cattle/dairy-cow-cooling-system-management) - [Dairy Cow Culling Decisions And Records](/knowledge/animal-farming/dairy-cattle/dairy-cow-culling-decisions-and-records) - [How To Design A Comfortable Dairy Cow Barn](/knowledge/animal-farming/dairy-cattle/how-to-design-a-comfortable-dairy-cow-barn) ## Related Clinical & Scientific Guides * [Evaluating Feed Additives for Dairy Cow Performance](/knowledge/animal-farming/dairy-cattle/evaluating-feed-additives-for-dairy-cow-performance) * [Dairy Barn Fire Safety: Design and Prevention Measures](/knowledge/animal-farming/dairy-cattle/dairy-barn-fire-safety-design-prevention) * [Dairy Cow Pregnancy Loss Records and Review](/knowledge/animal-farming/dairy-cattle/dairy-cow-pregnancy-loss-records-and-review) ## References and Further Reading - [www.nrcs.usda.gov](https://www.nrcs.usda.gov/) - [www.merckvetmanual.com](https://www.merckvetmanual.com/management-and-nutrition) - [FAO Animal Production and Health](https://www.fao.org/animal-production/en). Food and Agriculture Organization of the United Nations. - [Animal Health and Welfare](https://www.nal.usda.gov/animal-health-and-welfare). USDA National Agricultural Library. - [The development of the Reunion Island's highlands through dairy cattle farming: A model at the end of its rope](https://doi.org/10.4000/GEOCARREFOUR.10865). Geocarrefour, 2018. - [A revolution down on the farm: The transformation of American agriculture since 1929](https://api.elsevier.com/content/abstract/scopus_id/84895082193). A Revolution Down on the Farm the Transformation of American Agriculture Since 1929, 2008. > This article is educational and is not a substitute for veterinary diagnosis, treatment, public-health guidance, or regulatory reporting.