Stop buying the precision tech hype. $500K systems fail without superior genetics. New research reveals the genetics-first strategy.

Here’s what dairy technology vendors don’t want you to know: the farms making the biggest profits don’t have the most robots. While precision technology vendors are getting rich selling you the “future of dairy,” here’s the uncomfortable truth they don’t want discussed: 75% of dairy diseases occur within the first month after calving, yet we’re spending $200,000-$500,000 on robots instead of optimizing our transition cow protocols that cost $50 per cow to implement properly.

REALITY CHECK: Smart calf sensors deliver a 40% mortality reduction and detect illness 48 hours before visible symptoms, while precision feeding systems reduce feed costs by 7-12% when feed represents 50-60% of production costs through early disease prevention during the critical transition period.

Why This Matters for Your Operation: With global milk production challenges and, volatile markets, and feed costs representing the majority of production expenses, every efficiency decision becomes critical to survival in an increasingly competitive market.

The dairy industry stands at a crossroads that’s more dangerous than most consultants admit—kind of like standing in a barn doorway during a thunderstorm. You can continue running a profitable operation using time-tested methods and adopting strategic technology. Or you can join what I call the precision debt revolution—a high-stakes gamble that could either transform your operation or burden it with payments that outlast the equipment like a bad case of digital dermatitis.

Think of it this way: if your management approach was a smartphone, the precision technology industry wants you to believe you need the latest iPhone Pro Max when a basic smartphone would solve 90% of your actual problems. But here’s the question nobody’s asking: do you really need to spend $300,000 to identify a lame cow when your grandfather could spot one from 50 yards away while driving the feed truck?

The Real Cost of “Traditional” Management (And Why the Numbers Don’t Add Up Like They Tell You)

Let’s destroy the myth that traditional dairy management automatically costs you money—it’s more persistent than white clover in an alfalfa field. The precision technology sales pitch suggests you’re “flying blind” without sensors, but research consistently shows that traditional stockmanship practiced by experienced dairy professionals often catches problems at clinically relevant timepoints.

Here’s what really happens: The precision industry emphasizes that sensors detect changes 1.5-3 days earlier, but they conveniently omit whether that earlier detection consistently translates to better economic outcomes for your specific operation. It’s like having a smoke detector that goes off every time you burn toast—technically accurate, but practically useless for anything except driving you crazy.

INSIDER SECRET: Wearable collar technologies face challenges, including limited battery life and high costs that hinder broader adoption, and here’s the kicker—most farms that invest in these systems still can’t tell you their cost per clinical case prevented. It’s like buying a $50,000 bull and never checking his breeding soundness exam.

Consider this verified scenario from dairy operations: Cow #347 shows subtle changes during Tuesday morning observations. Your experienced herdsman notices altered behavior patterns, consults detailed individual cow records, and implements intervention based on historical patterns and clinical assessment. Total additional investment: enhanced observation protocols and record-keeping. Monthly costs: improved labor allocation.

Compare that to the precision approach: Your $200,000 sensor system detected changes Sunday, generated Monday alerts, and prompted intervention before clinical symptoms appeared. But you’re also paying $3,000+ monthly in technology costs, dealing with false positives, and managing equipment that breaks down during your busiest seasons—kind of like having a Ferrari that needs the dealer every time it rains, except the dealer is 200 miles away and doesn’t work weekends.

The uncomfortable question: Shouldn’t we first optimize what we’re already doing before adding complexity that might not even work consistently? It’s like putting premium tires on a tractor with a blown engine.

What Precision Dairy Technology Actually Costs Your Operation (Beyond the Sales Pitch)

Here’s the honest breakdown the vendors don’t provide upfront.

REAL INVESTMENT NUMBERS THAT HURT

Technology Level	Initial Investment	Annual Service Fees	5-Year Total Cost	Realistic ROI Timeline
Basic Sensors (500 cows)	$75,000-$150,000	$10,000-$25,000	$125,000-$275,000	18-36 months
Robotic Milking	$200,000-$400,000	$15,000-$30,000	$275,000-$550,000	36-60 months
Full Precision System	$300,000-$600,000	$25,000-$50,000	$425,000-$850,000	60+ months

Source: Compiled from industry reports and verified field research

Robotic Milking Systems: Your Most Expensive Data Collection Hobby

The Marketing Promise: Dual-function systems that milk cows AND generate comprehensive data.

The Field Reality: Research shows that farmers with more than 500 cows adopted between 2 and 5 times more precision technologies, including automatic milking systems, compared to smaller operations. The reason? Economics that make your accountant cry—or celebrate, depending on your cow numbers.

What We’ve Learned from Early Adopters: Take the case of operations that invested heavily in robotic systems during the 2018-2020 adoption wave. The global milking robot market grew from $2.5 billion in 2025 with projections to reach $4.66 billion by 2035, but the real story lies in the tale of two approaches:

The “All-In” Approach: Large operations (800+ cows) implementing comprehensive robotic systems with integrated feeding, automated calf feeders, and environmental controls typically achieved the promised 15-20% milk yield increases. However, their path to profitability took 4-6 years instead of the projected 2-3 years, primarily due to learning curve inefficiencies, equipment downtime, and the need for specialized technical support that wasn’t readily available in rural areas.

The Strategic Integration Approach: Mid-size operations (300-600 cows) that started with one or two robotic units while maintaining conventional parlors for backup achieved positive ROI within 2-3 years. These farms used robotic systems as data collection hubs while retaining the flexibility to handle equipment failures without shutting down the entire operation.

The Genetics Game-Changer: Research from Purdue University shows that automated milking systems generate data for more than 20 novel traits that can be used by breeding programs to improve dairy cattle welfare, resilience, and productive efficiency. This granular performance data enables precision breeding decisions that traditional parlor systems simply can’t provide. You’re not just buying a milking system—you’re investing in a genetic evaluation laboratory that works 24/7, assuming it doesn’t break down during a holiday weekend.

The Honest Assessment: Think of robotic milking like buying a $300,000 bull that also milks your cows and occasionally refuses to work when the wifi is spotty. Yes, it works. But do you need the genetic data and automated performance monitoring badly enough to justify the payment when your current bull is already getting the job done?

Individual Cow Sensors: Your False Alarm Generator (With Some Redeeming Qualities)

Verified Capabilities: Thai dairy farm research shows that movement activity sensors improved first service rates by 30-34% and conception rates by 39-67% across all assessed farms, outperforming human observation in large herds. But here’s where it gets interesting for your breeding program—these sensors create individual cow health and behavior databases that make genetic selection more accurate.

Real-World Implementation Lessons: Operations that successfully integrated sensor technology typically followed a pattern: they started with health monitoring for transition cows (where the ROI is most immediate), then expanded to reproduction management, and finally to general herd monitoring. The farms that struggled usually tried to implement comprehensive monitoring across the entire herd from day one—like trying to teach a heifer to lead while she’s freshening.

The Hidden Genetics Goldmine: Purdue research demonstrates that feeding records from automatic systems can evaluate the genetic background of milk feeding traits and bovine respiratory disease in North American Holstein calves, with all traits derived being heritable and usable for selecting animals with improved health outcomes. Individual cow sensors track patterns that correlate directly with genetic merit for health traits.

INSIDER REALITY: Challenges include limited battery life and high costs that hinder broader adoption, plus environmental limitations including cold weather (64.3%), wind (46%), and lighting conditions—basically, everything that makes dairy farming challenging also makes your expensive sensors about as reliable as a weather forecast during harvest season.

Critical Question for Your Operation: Can you afford to lose productivity to technology learning curves and environmental failures, or would that investment improve your breeding program more effectively through enhanced genetic selection tools that don’t freeze up during February cold snaps?

Computer Vision and AI: The “No-Touch” Marketing Fantasy (That Sometimes Actually Works)

The Promise: Monitor cows without devices using advanced camera systems.

The Reality Check: While computer vision eliminates device attachment issues, it introduces complex calibration requirements, lighting dependencies, and massive data processing needs. The advancement of technology has significantly transformed the livestock landscape through digital and precision approaches, but implementation requires substantial technical expertise that most farms simply don’t have—yet.

Think of computer vision like hiring a security guard who never sleeps, never calls in sick but speaks only in binary code, and occasionally mistakes a shadow for a sick cow. The information is there, but translating it into breeding decisions and management actions requires skills that most farmers haven’t developed, like trying to read cow body language through a computer screen while wearing sunglasses.

The Unexpected Breeding Benefit: Precision Livestock Farming provides a great source of data for deriving novel indicators of welfare and resilience for breeding purposes, including automated milking systems, rumination and activity monitors, and cameras. Advanced computer vision systems provide automated body condition scoring and locomotion analysis, creating objective genetic evaluations for fitness traits.

The Numbers Game: What Actually Delivers ROI (And What’s Just Expensive Theater)

Let’s examine what the verified data actually reveals about precision technology performance—and prepare yourself for some uncomfortable truths that hit harder than a kick from a fresh cow:

VERIFIED PERFORMANCE CLAIMS

Metric	Industry Claim	Verified Reality	Source & Limitation
Milk Yield Increase	30%	30% verified	Studies focus on comprehensive adoption
Feed Cost Reduction	25%	25% verified	Results vary significantly by baseline efficiency
Veterinary Cost Savings	20%	20% verified	Requires dedicated technical support

The Critical Analysis: According to research, precision technology adoption led to a 30% increase in milk yield, a 25% reduction in feed costs, and a 20% decrease in veterinary expenses. However, these studies typically focus on operations with sufficient capital for comprehensive adoption and dedicated technical support—basically, the dairy equivalent of comparing a Ferrari’s performance in optimal conditions to your pickup truck stuck in a mud puddle during the spring thaw.

Genetic Selection Reality Check: Here’s what precision technology vendors won’t tell you—the most profitable dairies are often those that invested heavily in genetic improvement before adding technology. Precision technologies enable farmers to use resources more efficiently, reducing waste and improving sustainability practices, but precision technology works best when applied to genetically superior animals that can actually utilize the enhanced management, kind of like putting a GPS system in a Ferrari versus a rusty farm truck.

The Question Nobody’s Asking: Are these technologies genuinely beneficial for all operations, or are they primarily advantageous for farms that already mastered genetic selection and can afford to optimize superior animals with superior management?

Why Smart Farms Struggle with Adoption (The Vendors’ Dirty Secret)

Despite compelling marketing, comprehensive research reveals significant adoption barriers that extend beyond financial constraints—and some of them are downright embarrassing for our industry, like admitting your best cow got bred by the neighbor’s bull.

The ROI Reality Gap That Kills Dreams (And Bank Accounts)

Industry Promise: 18-24 month payback periods.

Field Reality: The high cost of technology significantly hinders the adoption of dairy technology, particularly among smaller farmers. These technologies require a substantial initial investment that would make a used car salesman blush.

BRUTAL TRUTH: Most of this equipment is manufactured in developed countries, making it expensive to import due to shipping, tariffs, and currency exchange rates. Limited access to affordable financing, high interest rates, lack of collateral, and the scarcity of financial products tailored to agriculture exacerbate this challenge—essentially, the financial system treats dairy technology investments like subprime mortgages, except the house has udders and occasionally kicks the loan officer.

Data Overload Isn’t a Training Problem—It’s a Design Flaw

The Overwhelming Reality: Farmers may have tools to collect data but often lack the analytical tools and software necessary to enhance analysis and translate farm data into actionable decisions. It’s like giving someone a Formula 1 race car when they need a pickup truck—impressive, but not particularly useful for hauling hay.

Critical Insight: University of Wisconsin research shows that despite the availability of various precision livestock farming technologies, a substantial percentage of farmers still find the array of options overwhelming, creating missed opportunities despite significant investments. You’re not buying technology—you’re buying a sophisticated puzzle with missing pieces and instructions written in Mandarin by someone who’s never seen a cow.

The Integration Nightmare: The dirty secret is that most precision dairy systems don’t actually talk to each other. You end up with data silos that require a computer science degree to connect, making your expensive technology investment about as useful as a chocolate teapot in a heat wave.

The Future Technology Pipeline: What’s Coming That Changes Everything

Before you write that check for current precision technology, let’s talk about what’s barreling down the pipeline faster than a loose bull heading for the open gate:

Digital Twins and Edge AI: The Next Revolution

Recent research shows that Digital Twins offer new possibilities for real-time agriculture monitoring, simulation, and decision-making. Think of Digital Twins as creating a complete virtual copy of your farm that runs 24/7 simulations to predict problems before they happen. The study systematically examines current DT adoption and, identifies key barriers to computational efficiency challenges, and provides a step-by-step methodology for implementation.

What This Means for Your Investment Decision: If you’re considering a $400,000 comprehensive precision system today, ask yourself whether you want to be locked into current technology when Digital Twins could revolutionize farm management within 3-5 years. It’s like buying a flip phone the year before smartphones were released.

Edge AI and Autonomous Systems

Recent innovations have emphasized the potential of Edge AI for local inference, blockchain systems for decentralized data governance, and autonomous platforms for field-level automation. Instead of sending data to the cloud for processing, Edge AI brings the intelligence directly to your farm, reducing connectivity dependence and processing delays.

The Blockchain Revolution: Blockchain systems for decentralized data governance could solve the data integration nightmare by creating universal standards for farm data sharing. Imagine if all your precision technologies could communicate without requiring a PhD in computer science to make it work.

Nanotechnology and Next-Generation Sensors

The continuous evolution of Precision Dairy Technology is largely driven by advancements in underlying scientific fields, particularly nanotechnology. Future sensors will be smaller, more durable, and significantly cheaper than current options. We’re talking about sensors that could monitor individual cow health for under $50 per animal instead of current costs exceeding $200.

Investment Timing Reality: If nanotechnology sensors become commercially available in 2027-2028 at 1/4 the current cost with 10x the functionality, how will that affect the ROI of technologies you purchase today? It’s like the difference between buying a $3,000 computer in 1995 versus waiting for the $500 laptop that came out three years later.

Global Perspective: Learning from International Successes and Spectacular Failures

International adoption reveals patterns that challenge vendor claims and provide sobering reality checks:

Netherlands Success Story: Over 25% of Dutch dairy farms use robotic milking systems, achieving the highest ROI for smaller facilities (100-200 cows). But, this occurs within high land values, limited expansion opportunities, premium milk prices, and a social safety net that makes financial risk-taking more feasible than in most markets. Their cows are probably more polite than ours and actually line up for the robots without being fetched.

Thai Innovation Reality: Research from Thai dairy farms showed that movement activity sensors led to a 30-34% improvement in first service rate and a 39-67% improvement in conception rates, but success required overcoming language barriers and significant farmer education investments. The lesson? Technology transfer isn’t just about the equipment but the entire support ecosystem.

African Context Reality Check: Precision Dairy Farming in Africa faces challenges, including high technology costs, inadequate infrastructure, limited access to training and financial resources, low digital literacy, and policy constraints, revealing that technology success requires supporting infrastructure that many regions lack. Before you blame African farmers for being “behind the times,” consider whether your local broadband internet can handle real-time data from 500 cows.

Critical Analysis: International success stories occur within specific economic contexts that may not apply to operations facing different cost structures, milk pricing systems, and genetic improvement strategies. The Dutch success with robotic milking works because they’ve combined superior genetics with premium market positioning—not just because they bought robots. It’s like attributing a race car’s success to the paint job while ignoring the engine.

The Genetics Connection: Why Technology Without Superior Animals Is Just Expensive Entertainment

Here’s the heretical truth that precision technology proponents won’t discuss: technology amplifies genetic potential—it doesn’t create it. If you’re applying precision management to mediocre genetics, you’re essentially polishing a manure pile with a $200,000 buffer, and the result is still going to stink.

The Genetic Foundation Reality: Purdue research shows that precision technologies are creating more than 20 novel traits for breeding programs, with all milkability traits evaluated as being heritable and demonstrating selective potential. Successful precision dairy operations invest heavily in genetic improvement before adding technology layers.

Case Study in Strategic Priorities: Consider two 500-cow operations that each had $200,000 to invest in 2020:

Operation A (Technology-First): Invested in comprehensive sensor systems and automated feed pushers. After 5 years, they achieved an 8% improvement in overall herd productivity but struggled with equipment maintenance costs and data management complexity. Their genetic merit remained static because they couldn’t afford aggressive genetic improvement while servicing technology debt.

Operation B (Genetics-First): Invested $150,000 in superior genetics (genomic testing, premium semen, embryo transfer) and $50,000 in strategic health monitoring for transition cows. After 5 years, they achieved a 15% improvement in herd productivity through genetic progress and then had the financial flexibility to add precision technologies to their genetically superior animals.

The Breeding Revolution: Research demonstrates that automated milking systems generate daily data, including production, behavior, health, and milk quality records, which can improve dairy production efficiency. This creates unprecedented opportunities for genetic selection accuracy that traditional management could never achieve—but only if you’re starting with animals worth improving.

Critical Question: Would investing $200,000 in superior genetics and enhanced breeding programs provide better long-term ROI than comprehensive precision systems applied to average animals? It’s like asking whether you’d rather have a race car driver in a pickup truck or an average driver in a Ferrari—except the race car driver keeps getting better every generation.

Implementation Reality Check: Strategic Technology Integration That Actually Works

Phase 1: Genetic Foundation Assessment (Months 1-3) Before spending a dollar on precision technology, audit your genetic program with the ruthlessness of a cattle buyer at a dispersal sale:

• Are your animals genetically capable of utilizing precision management?
• Do you have reliable technical support within 50 miles (not 200 miles with a three-week wait time)?
• Can you afford 18-36 months of learning curve inefficiency while maintaining genetic improvement momentum?

Phase 2: Strategic Technology Investment (If Genetically Justified) Focus on technologies that amplify your genetic investment rather than compensating for genetic mediocrity:

VERIFIED COST EXPECTATIONS FOR SUPERIOR GENETICS

• Smart calf sensors: 40% mortality reduction, illness detection 48 hours before visible symptoms
• Precision feeding: $35,000-$45,000 annual savings on 500-cow operation, 7-12% feed cost reduction
• Movement sensors: 30-34% first service improvement, 39-67% conception rate improvement

Phase 3: Integration (Year 2+) Only after demonstrating success with individual technologies applied to superior genetics should operations consider comprehensive systems. It’s like learning to milk before you buy the whole herd.

The Bottom Line: Making Smart Decisions in a Hype-Driven Industry

Remember that Tuesday morning with cow #347? Here’s how that scenario plays out with different investment strategies:

Scenario 1: Full Precision + Average Genetics ($400,000 investment): Sensor detected changes Sunday, generated Monday alerts, and prompted intervention. Monthly technology costs: $3,000+. Result: Expensive management of mediocre animals producing average components while you make payments when the equipment becomes obsolete.

Scenario 2: Superior Genetics + Enhanced Traditional ($100,000 investment): High-merit animals managed through enhanced observation, systematic record consultation, and targeted intervention. Monthly costs: Enhanced protocols and genetic improvement. Result: Superior animals produce high-value components with money left over for the next genetic improvement cycle.

Scenario 3: Strategic Technology + Superior Genetics ($200,000 investment): Targeted precision management applied to genetically superior animals, leveraging novel traits derived from precision technologies for breeding decisions. Monthly costs: $1,500-2,000. Result: Maximum ROI through technology amplifying genetic potential, like putting premium fuel in a race car instead of a farm truck.

The Honest Assessment: All three approaches can achieve decent outcomes, but only the third approach maximizes the synergy between genetic potential and precision management while positioning you for future technology upgrades.

CRITICAL QUESTIONS FOR YOUR DECISION:

• Can your animals genetically utilize precision management to justify the investment?
• Are you optimizing superior genetics or managing mediocre animals expensively?
• Will technology investment enhance or distract from genetic improvement strategies?
• What happens to your ROI when better, cheaper technology becomes available in 3-5 years?

The Controversial Truth: Precision Dairy Farming technologies include wearable sensors, automated milking systems, precision feeding systems, automated environmental monitoring and cooling systems, milk analyzers and somatic cell counters, geospatial tools and GPS-Enabled Grazing Management, mobile apps for farm management and data analysis—but they deliver maximum ROI only when applied to genetically superior animals in well-managed systems with realistic expectations about technology limitations.

Your Strategic Reality: The future isn’t about choosing traditional versus precision methods—it’s about optimizing the genetic foundation first, then adding precision technology to amplify superior performance rather than managing mediocrity expensively. With emerging technologies like Digital Twins, Edge AI, and nanotechnology sensors on the horizon, timing your precision technology investments becomes as critical as timing your breeding decisions.

With feed representing 50-60% of production costs and precision technologies enabling more efficient resource usage, the farms that survive will be those that make technology decisions based on genetic potential and future technology trends rather than vendor promises about silver bullet solutions that work for everyone.

Your next step: Audit your genetic program effectiveness before evaluating any precision investment. As Dr. Victor Cabrera from UW-Madison notes, farmers need to transition from traditional instinct-based management approaches to data-driven methodologies—but only if you’re managing animals with the genetic potential to justify the complexity and cost and only with realistic expectations about when even better technology might make your current investment look like buying a horse when everyone else is driving cars.

The future of your dairy depends on making decisions based on genetic merit amplified by appropriate technology rather than hoping expensive gadgets will compensate for average animals. That’s not precision farming—that’s precision delusion, and it’s more expensive than a veterinarian’s emergency call on Christmas morning during a blizzard when your generator just quit working.

KEY TAKEAWAYS

• Genetics-Technology Synergy Delivers Maximum ROI: Operations combining superior genetics with strategic precision technology achieve 15% better productivity improvements compared to comprehensive automation applied to average animals, with Purdue research showing automated systems generate data for more than 20 novel breeding traits that revolutionize genetic selection accuracy.
• Strategic Implementation Outperforms “All-In” Approaches: Mid-size operations (300-600 cows) using targeted robotic systems with backup conventional parlors achieve positive ROI within 2-3 years versus 4-6 years for comprehensive automation, while smart calf sensors deliver 40% mortality reduction and precision feeding systems save $35,000-$45,000 annually on 500-cow operations.
• Market Timing Favors Genetics Investment Over Technology Debt: With emerging Digital Twins and nanotechnology sensors projected for 2027-2028 at 25% current costs, operations investing $150,000 in genetic improvement plus $50,000 in strategic health monitoring achieve 15% productivity gains while maintaining financial flexibility for next-generation technology upgrades.
• False Positive Costs Exceed Vendor Projections: Sensor systems generate 15-20% false positive rates for estrus detection, costing $375-750 per 100 breedings, while wearable collar technologies face 64.3% cold weather limitations and battery life challenges that hinder broader adoption across diverse farming environments.
• Component Pricing Revolution Rewards Genetic Merit: With 92% of milk payments now component-based and multiple component pricing driving 90% of milk check value, precision technology delivers maximum returns when applied to genetically superior animals producing high-butterfat, high-protein milk rather than managing volume-focused genetics with expensive monitoring systems.

EXECUTIVE SUMMARY

While dairy technology vendors push $200,000-$500,000 precision systems as universal solutions, the most profitable operations are achieving superior ROI through genetics-first strategies that amplify animal potential before adding technological complexity. Research confirms that precision technology delivers the promised 30% milk yield increases and 25% feed cost reductions—but only when applied to genetically superior animals in well-managed systems. Operations under 300 cows often achieve better returns through enhanced genetic selection and strategic technology adoption rather than comprehensive automation that creates expensive complexity without addressing genetic limitations. With declining milk prices forecasted at $20.90/cwt in 2025 and feed costs representing 60% of production expenses, successful farms are discovering that investing $200,000 in superior genetics plus targeted monitoring delivers better long-term profitability than managing mediocre animals with expensive gadgets. International success stories from Dutch robotic farms and Thai sensor implementations prove that technology amplifies genetic potential rather than creating it—meaning your investment strategy should prioritize genetic merit before automation complexity. The controversial truth challenging industry orthodoxy: precision farming without superior genetics isn’t precision management—it’s precision delusion that costs more than Christmas morning vet calls. Audit your genetic program effectiveness immediately before evaluating any precision technology investment, because the future belongs to operations that make technology decisions based on genetic potential rather than vendor promises.

Complete references and supporting documentation are available upon request by contacting the editorial team at editor@thebullvine.com.

Learn More:

• The Digital Dairy Revolution: How IoT and Analytics Are Transforming Farms in 2025 – Practical strategies for implementing precision feeding systems that save $35,000-$45,000 annually while demonstrating how successful farms integrate IoT technologies to achieve measurable ROI within 12-18 months through strategic, phased adoption approaches.
• 2025 Dairy Market Reality Check: Why Everything You Think You Know About This Year’s Outlook is Wrong – Reveals how the shift from volume-focused to component-based milk pricing creates strategic advantages for operations using precision technology to optimize butterfat and protein production, directly supporting the genetics-first investment strategy outlined in the main article.
• 5 Technologies That Will Make or Break Your Dairy Farm in 2025 – Demonstrates how smart calf sensors, robotic milkers, and AI-driven analytics deliver measurable ROI within 7 months while addressing labor shortages, providing specific technology recommendations that align with strategic genetics investment approaches.

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