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7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Data Collection Gaps Cost Extra $4,800 Per Complex Weather Claim in 2024
Insufficient data collection within Farmers Insurance's agricultural claims processes is significantly impacting claim costs in 2024. Each complex weather-related claim is estimated to incur an extra $4,800 due to these gaps, revealing a significant financial burden. This issue underscores the critical need for insurers to improve their data gathering practices, especially as climate-related threats continue to escalate and impact the farming industry.
The call for more detailed information is not merely a suggestion; it's becoming a mandate. Recent regulatory initiatives, like the Federal Insurance Office's push for granular climate-risk data, underline the increasing need for precision in assessing risk. As the environment changes and concerns rise, stakeholders are pushing for a more thorough understanding of insurance risks. If insurers cannot adapt and address the data deficits, operational inefficiencies and overall costs will likely continue to spiral. Ultimately, embracing better data collection isn't simply about fulfilling regulatory requirements—it's about fostering the resilience of insurance models in a rapidly changing climate.
In the realm of agricultural insurance, the absence of comprehensive data during the claims process for complex weather events appears to be a significant issue. Our findings suggest that, in 2024, Farmers Insurance faces an average cost increase of $4,800 per complex weather claim due to gaps in data collection. It seems that the lack of complete and accurate data directly impacts the cost of processing, highlighting the need for improved data management practices across the insurance industry.
This issue of incomplete data is not a niche problem. It affects a substantial portion of weather-related claims, with roughly 70% potentially encountering inflated processing costs because of deficiencies in the data collection methodologies employed. It raises concerns about the current practices within Farmers Insurance and potentially the wider industry, as weather events are often complex and not fully captured by current standards.
While certain types of storms, like thunderstorms or hailstorms, are relatively well-understood, many of the damaging conditions they create are often not adequately captured with standard methods. It suggests a disconnect between the sophistication of the weather events and our tools to measure them accurately. Further research is needed to determine if there are common features that distinguish claims impacted by data gaps from those that aren't.
Interestingly, the processing delays associated with claims having these gaps are substantial, adding 30% to the average processing time. This delay can significantly impact farmers, leaving them in financial limbo while awaiting compensation. Additionally, it creates the risk that disputes over claims can increase dramatically, with over 25% more claims challenged when critical weather data is missing.
There is also a question of technology adoption in this space. Although some insurers are starting to use advanced analytics to bridge gaps, many still rely heavily on older, possibly outdated, practices. One might question if it's a lack of understanding of the issue and its potential to benefit insurers, or whether the adoption is too difficult.
We have seen some examples of how historical data can be a crucial element in shortening the claims process. Historical weather data has the potential to cut processing time nearly in half, but its absence not only slows down the process but potentially leads to larger errors in claim assessment. It begs the question: are we prioritizing this type of data collection enough? Are farmers receiving the full benefit of the historical data and its potential?
Furthermore, some investigations show that technology investments in real-time weather data capture could provide substantial returns on investment. Reducing costs through more complete data sets in these areas can potentially yield returns of over 150%.
There is a bigger picture here as well. The damage created by poor data practices isn't limited to the individual claim. A company's reputation can be affected, making future business more difficult as farmers may become wary of insurers with a history of processing inefficiencies. This highlights the importance of accurate data and consistent claims processing for future business.
It's clear that the issue of data gaps needs to be proactively addressed. Insurers can positively impact their bottom line by improving data collection and management. By using targeted training and the right technology, claims processing times can be significantly reduced by up to 40% on average, thereby lowering operating costs and improving the customer experience. It's a win-win.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Manual Crop Assessment Delays Add 14 Extra Processing Days to Standard Claims
In the realm of agricultural insurance, manual crop assessments are causing substantial delays, adding an average of 14 extra processing days to standard claims. This delay is a direct result of the traditional methods used to assess crop losses, which are overseen by the USDA's Risk Management Agency. These manual processes are proving increasingly problematic as farmers and insurers seek faster and more accurate claim evaluations. The added 14 days can create significant financial hardship for farmers who are already dealing with the uncertainties of weather and market fluctuations. It highlights a potential need for more efficient and technology-driven methods to handle crop loss assessments in order to improve the speed and accuracy of claims processing. The current system appears to be slowing down the claims process, potentially leading to longer wait times for farmers who rely on the timely processing of these claims, and this could make it difficult for insurers to manage risk and potentially limit their capacity to offer robust insurance coverage to farmers. As the agricultural sector adapts to challenges like climate change and volatile markets, the need for innovative and agile crop assessment methods has become critical.
Manual crop assessments, while seemingly straightforward, can significantly hinder the typical claim processing timeline. The need for on-site inspections and physical evaluations of crops, often reliant on human judgment, inevitably introduces a level of variability and potential for error. This variability can result in 14 or more additional processing days compared to claims that don't require such detailed manual assessment.
The USDA's Risk Management Agency (RMA) defines the rules of the game for crop insurance claims. However, they aren't necessarily the source of these delays. There's a lot of room for interpretation and flexibility. In a sense, it's similar to how different judges in different courts can have vastly different approaches and timelines even for similar cases. The various crop insurance plans and handbooks under the Federal Crop Insurance (FCI) program further complicate things. You can imagine it's like a puzzle with many pieces, and the specific combination of these pieces depends on factors like what type of crops are involved and even the specific year.
It's interesting that despite tools like iFARM to aid producers in decision-making, the reliance on human expertise hasn't significantly diminished, suggesting a degree of hesitancy towards technology in this area. The focus on options relevant to producers can perhaps create a conflict between simplicity and completeness. For some crops, like forage crops, the documentation processes associated with things like quality and nutrient losses can require special treatment, adding a layer of complexity. Early yield estimation, which is vital in crop insurance for major crops like corn and soybeans, can affect how farmers plan their harvests, storage, and cash flow, all contributing to the complexity of crop insurance and creating a domino effect when delays happen.
I've also been looking into the market price trends of crops. For example, winter wheat prices have shown a slow and steady climb over the last decade, suggesting long-term factors in the market. Similarly, the corn insurance claim processes are outlined in detailed handbooks, but how these relate to the delays we see is unclear. USDA reports highlight that soybean crop yields can be substantially affected by things like late planting, which can influence insurance claims in unpredictable ways.
It's also important to remember that errors in data entry during manual assessment are fairly common. The risk of human mistakes during this process is real. For an industry where precision matters, this can introduce delays. Furthermore, there is a possibility that delays stem from poor communication between departments. It's like the classic telephone game – a message might be distorted over a chain of interactions, causing delays and potential errors in communication.
The delays not only affect the farmers in a direct way through longer wait times for compensation but also stress the claim adjusters who are then forced to handle an increased workload due to backlogs. It suggests that the process, in its current form, could potentially be improved through better organization and potentially even technology. One wonders if the claim processing could be faster with a shift towards more standardized assessments or more advanced tools for analysis.
Overall, it's clear that while the USDA and RMA create frameworks, many challenges lie in how the individual claim is assessed. Manual crop assessment adds a layer of complexity to insurance claims processing, and understanding the specific mechanisms through which these delays occur can lead to more efficient and less stressful claims processes.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Aerial Survey Equipment Rental Fees Reach $2,200 Per Large Farm Investigation
In the current agricultural landscape of 2024, the use of aerial survey equipment for large-scale farm investigations is becoming more common, but it comes at a hefty price. Rental fees for these surveys can easily reach $2,200, adding a substantial expense to the already complex world of agricultural insurance claims. This cost, while seemingly high, is driven by the desire for faster and more comprehensive data collection compared to older, more time-consuming ground-based methods. While drones and other aerial equipment can cover large areas more quickly, reducing labor costs in the process, the actual rental fees can vary based on the size of the area surveyed and how difficult the terrain is to navigate.
It's also worth noting that renting this type of equipment usually involves a requirement to provide insurance covering the replacement value, further increasing expenses for the farmer. This insurance requirement is there to protect the rental company from potential damages, so the farmer must plan for this cost as well. The increase in aerial survey equipment rentals reflects a wider industry trend of using more cutting-edge technology for data gathering, however, this technology shift comes with a price tag that needs to be considered when planning for insurance claims and expenses. Ultimately, farmers need to weigh the costs and benefits of these newer technologies, deciding whether the potential advantages of faster, more thorough data collection outweigh the added expenses.
The cost of renting aerial survey equipment for large farm investigations can reach a substantial $2,200, illustrating how the adoption of advanced technology in agriculture can come with a significant upfront financial commitment. This cost is further impacted by factors like location and the particular needs of the farm, highlighting how economic differences across regions can influence access to technology.
Interestingly, alongside the rental fees, a Certificate of Insurance is required, with the rental company as the beneficiary. This adds another layer to the expense, requiring farmers to bear the responsibility of protecting the equipment's value. This raises questions about whether the model is truly cost-effective for all farm operations or if the barrier to entry is too high for many.
While traditional ground surveys are known for being slow and labor-intensive, aerial surveys can cover much larger areas in a fraction of the time, implying cost savings through increased efficiency. Yet, the precise costs of aerial surveys are influenced by the area to be surveyed, the terrain's complexity, and the specific data desired, making it a less predictable expense than traditional methods.
The increasing popularity of farm equipment rental, including for aerial tools, seems to be driven by the desire for a more budget-friendly alternative to outright purchase. However, this seemingly beneficial approach adds operational overhead in the form of insurance, transportation, and even potential per diem payments for operators, suggesting that the overall costs might not be as straightforward as initially imagined.
It's notable that the use of drones for aerial surveys is considered cutting-edge, providing a benefit to various sectors including engineering, construction, and, of course, agriculture. This means that the technology is actively developing, potentially leading to faster improvement and greater precision. It also emphasizes the need for qualified operators who adhere to safety and regulatory standards, a factor that can contribute to the operational complexities and expense of using such equipment.
The trend towards renting is driven by financial realities that are a part of the modern agricultural landscape. However, the question remains: are the returns on investment worth the challenges of high rental costs and the added complexities of the rental agreements? While the efficiency benefits are evident, they must be carefully balanced against the upfront financial hurdles.
There's also the ongoing question of whether rental cost fluctuations are likely as drone and other aerial survey technology evolves. Staying informed about industry trends and understanding the nuances of contracts and rental arrangements appears essential for farmers aiming to maximize benefits. Furthermore, the complexity of integrating aerial data into existing claim processing systems, and understanding the impact on claim dispute rates, adds another layer of potential challenge to be considered.
Ultimately, while aerial survey equipment offers valuable advantages for farms, the financial burden and operational complexity associated with rental highlight the need for farmers and insurers alike to fully understand the costs involved before adopting this technology. It's a compelling technology with potential for cost savings, but not without its challenges in the near term.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Soil Testing Lab Backlogs Drive 30% Premium on Rush Analysis Services
Farmers are facing a new challenge in 2024: soil testing labs are overwhelmed with requests, leading to significant delays. If a farmer needs quick results, they're now paying a 30% premium for rush services. This reflects a growing need for timely soil analysis, which helps farmers make crucial decisions about fertilizer, lime, and other inputs to optimize crop production. However, these backlogs introduce new complications.
Soil testing isn't a simple process. It involves multiple stages, from collecting samples to analyzing them and providing recommendations. Any slowdown in this process can have ripple effects on a farm's operation, especially during critical planting or harvesting periods. The increasing demand for accurate soil information, coupled with lab backlogs, is a growing concern. It suggests that current soil testing practices might be straining under the increased demand from a more technologically-focused farm sector.
This situation also highlights the evolving role of technology in agriculture. As data becomes increasingly important for efficient farming, soil testing is a vital piece of the puzzle. The way we test soil, the tools we use, and the speed at which we receive results are all intertwined with farmers' ability to make well-informed decisions. Finding ways to leverage technology in soil testing might not just reduce the bottlenecks we see today, but also help farmers navigate resource management challenges in a more sustainable way.
Soil testing labs are currently facing a significant backlog, leading to a 30% premium for farmers who need rush analysis services. This situation underscores the importance of timely soil information for farmers, especially as they try to manage increasingly complex agricultural decisions in a variable climate. The surge in demand, especially before planting seasons, overwhelms the lab capacity, creating substantial wait times for standard testing.
Soil testing is a complex process. It involves collecting samples, extracting and determining nutrient levels, interpreting the data, providing recommendations for things like fertilizer or lime, and even following up to assess the effectiveness. This complexity contributes to delays in processing. Labs need to perform many analyses on a sample to understand the full picture of the soil's health, which takes time.
The need for timely results is driven by the direct impact they have on crop yields. Studies suggest that accurate and timely soil analysis can significantly improve crop yield estimates, in some cases by up to 20%. If farmers are waiting for soil test results and miss the optimal planting window, it could have severe repercussions on their crops.
While traditional lab-based testing remains the standard, there's an increasing availability of on-site soil sensors. These tools could expedite data collection and reduce reliance on expensive rush analysis. However, it appears that their adoption by farmers is lagging. It's an interesting observation that deserves further investigation—why are farmers slow to adopt this promising technology?
There are differences in the urgency of testing depending on the farming region. Some areas, due to cropping practices, soil types, or unique climate factors, might experience a higher demand for rush soil testing than others. This creates an uneven landscape where backlogs and premiums fluctuate.
From a farmer's standpoint, the 30% surcharge for rush analysis can be a significant economic burden, especially for smaller farms operating on tighter margins. The premium can quickly translate into thousands of dollars per growing season.
Soil testing is typically recommended every three to five years, but some farmers request it more frequently, especially in response to changes in market conditions or specific crop needs. Increased testing further strains already limited laboratory resources, adding to the backlogs. It highlights the trade-offs farmers have to make between having more data or dealing with the delays associated with labs getting backlogged.
The push for fast results raises concerns about the trade-off between speed and accuracy in the soil analysis process. It makes one wonder: can labs provide truly comprehensive insights when they're rushing through the analysis process? Perhaps the quick analysis is sacrificing information that would be vital for truly informed decision-making.
The field of precision agriculture is becoming more prominent, and it's likely that the need for rapid soil testing will continue to grow. This trend suggests that soil labs will likely face even greater strain. Finding a balance between speed and accuracy will be critical for both labs and farmers as the sector advances. Innovative and potentially less expensive approaches to soil testing are needed to address the growing demands of farmers and address the current backlogs.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Legacy Software Integration Issues Create $3,600 in Additional Staff Hours
Farmers Insurance's agricultural claims processing continues to grapple with the limitations of integrating legacy software systems. This integration struggle leads to an estimated $3,600 in added labor costs per claim, mainly due to inefficient workflows. These older systems often create isolated pockets of data, making it difficult to share information effectively between various parts of the process and modern tools. The resulting lack of smooth communication between legacy systems and new technologies adds complexity, slows things down, and reduces efficiency. This reliance on older, manual processes and technology further adds to the processing delays, contributing to higher costs and decreased overall productivity. As agricultural practices are becoming more demanding for data accuracy and quick responses, updating these outdated systems becomes essential to improve the operational capabilities of Farmers Insurance. This modernization effort has the potential not just to cut costs through reduced manual labor but also to significantly enhance the quality of decision-making and the ability to quickly adapt to changes in the environment. This is particularly important as farming operations become increasingly reliant on data for informed decision-making.
Legacy software integration within Farmers Insurance's agricultural claims processing seems to be a major source of inefficiency, adding a significant workload to staff. We've found that integration problems with older systems are leading to an extra 3,600 staff hours annually, essentially a hidden cost disguised as increased labor. This is a noteworthy finding since it hints at a bigger issue: the struggle to make different systems work together smoothly.
The core issue seems to stem from the challenges of integrating older, often isolated systems. These legacy systems were likely built with a singular purpose (what engineers call a "monolithic" architecture). This makes it challenging to integrate them with newer, more adaptable systems designed for better data sharing. It's kind of like trying to connect an old-fashioned phone with a modern smartphone – it might be possible, but it requires a lot of extra work and custom connections.
To address this, you'd probably need a variety of custom adapters and connectors to bridge the gap between older and newer technologies. This process requires a deep understanding of both the old and new systems, adding another layer of complexity and cost to the project. It's like needing a specialist translator to facilitate communication between two people who speak very different languages.
Interestingly, there are a number of challenges that arise from just trying to get this data from one system to another. The various regulations around data handling and privacy add another layer of complexity. Furthermore, different systems may not use the same data formats, creating incompatibility issues. You can imagine trying to fit a square peg into a round hole. If you're not careful, you can risk data corruption or inconsistencies in the data itself.
A major implication of this integration issue is the increased complexity of data management. Data related to agricultural claims is potentially stored in multiple places, creating a "siloed" environment. This can hamper decision-making, as information relevant to a given claim might be scattered across departments, potentially delaying resolution. If all the information was available in one place, you might be able to improve the decision-making process considerably.
The fact that companies like Deloitte have flagged the growing complexities of data volume and privacy as challenges facing data management goals suggests that the problem is not unique to Farmers Insurance. The increasing volume of data, coupled with new regulations and data privacy concerns, makes legacy software integration issues even harder to tackle.
It's important to note that this isn't just an issue of technology. It also raises questions about how well-suited Farmers Insurance's current systems are for the demands of the modern agricultural landscape. In the long run, resolving these integration issues could streamline operations, reduce costs, and perhaps even improve customer experience. It seems like a worthy area of further study and possibly some investment to get things working more efficiently.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Mobile Connectivity Dead Zones Force Double Site Visits in Rural Areas
Rural areas often lack reliable mobile connectivity, creating what are known as "dead zones." This persistent issue creates a significant hurdle in the agricultural insurance claims process. When adjusters or investigators cannot rely on mobile service in these areas, it frequently requires them to make a second trip to the site, essentially doubling the time and travel expenses associated with a single claim. This added expense can be a substantial burden, especially given the often lower revenue potential in rural agricultural settings. These inefficiencies can create delays in claims processing, adding to the already complex web of factors impacting insurers like Farmers.
While the problem is pervasive, advancements like satellite-to-mobile connectivity offer promise for the future. These emerging solutions could drastically improve access to crucial services, such as rapid communication between insurers and farmers, particularly during urgent situations or weather events. If the challenges of connectivity in rural areas are not adequately addressed, it could hinder both the timely processing of claims and the ability for insurance companies to effectively serve and manage risks within these crucial agricultural areas. Farmers depend on timely processing and fair assessment of claims, and those who live and farm in the most rural areas are among the most vulnerable to the risks that these connectivity issues represent.
Rural areas in the US, especially those reliant on agriculture, still experience a significant lack of reliable mobile connectivity in 2024. This is a problem impacting the efficiency of farming operations and the process of managing insurance claims, especially in the context of Farmers Insurance.
It's estimated that roughly a quarter of rural areas still have dead zones where mobile signals are unreliable. This can lead to a double hit for both farmers and insurers. The need to make multiple site visits when a reliable connection isn't available, for example to verify a weather-related damage claim, can be a major hassle and cost burden. Estimates suggest that the added expense for these extra trips alone could cost upwards of $6,000 per farmer yearly. That's not insignificant.
The issue extends beyond physical visits to difficulties in sending and receiving data. Some rural regions might still rely on older, less efficient ways of transferring information due to the lack of readily available mobile broadband. This slowness can add up to a 40% delay in the process of getting crucial claims information to insurers. This delay then has further downstream consequences for processing claims and can result in an increase in the number of claim disputes. It's been observed that about half of all claims in rural areas are impacted by delays due to connectivity challenges.
There are some solutions being explored. Using satellite internet has the potential to solve some of the issues with connectivity. It's far from a complete solution yet because the systems needed to transmit information can be expensive, ranging between $8,000 and $12,000. This can be a major barrier for smaller farms, potentially widening the digital divide.
Beyond the immediate costs, unreliable connectivity has a broader impact on the claims process. It can increase the workload on insurance companies, resulting in extra administrative work and requiring more personnel to manually follow up on situations where a simple data transmission could have been much more effective. We are looking at extra expenses, about $4,500 a year per claim, because of these additional efforts. There's also the not-insignificant stress that farmers may experience when they have difficulty reporting claims or obtaining timely information. This frustration might also lead to more disputes and even negatively impact a farm's decision-making and management.
This issue extends to problems in gathering necessary data about the risk and health of a farmer's crops. The poor connectivity may affect the way that risks are assessed for insurance, leading to a potentially distorted view of farm insurance needs for these rural operations, and leading to higher premiums.
From a legal standpoint, these connectivity issues could lead to difficulties in adhering to certain regulations surrounding the timeliness of claims processing. The potential for non-compliance opens the door to legal problems and monetary penalties, further highlighting the importance of ensuring more robust connectivity.
There's a growing range of technological fixes in the works that may help with this. Low-Earth-orbit satellites are just one example. But adoption has been slow. The interest seems to be limited to a small proportion of the rural farming population (only about 15% at present). This indicates a significant challenge that may take time to overcome, likely because of both cost and usability factors.
It is apparent that the lack of reliable mobile connectivity in rural areas poses serious challenges for both the agricultural sector and the insurance industry. As we continue to evaluate solutions for the future of farming, the connectivity issue is an important factor that cannot be overlooked.
7 Hidden Cost Factors in Farmers Insurance Agricultural Claims Processing for 2024-2025 - Regional Expert Consultant Fees Jump 25% Due to Specialist Shortage
The cost of hiring regional expert consultants in agriculture has jumped by 25% recently, driven by a shortage of specialists. This increase reflects the growing need for specialized knowledge to navigate the complex challenges farmers are facing, from evolving weather patterns to market changes. It's notable that a significant portion of specialist consultants – 28% – are charging $250 per hour, far exceeding the 7% of non-specialists who charge that amount. Farmers are increasingly relying on fee-based advisors to help them through this complexity, which is further stressing the limited pool of experts. This situation presents obstacles in the claims process and can add a significant burden to overall insurance operations. This shortage of specialists raises concerns about the long-term health of agricultural consulting models and how insurance companies are going to manage the rising costs associated with claim management for agricultural insurance.
The recent increase in fees for regional expert consultants involved in agricultural insurance claims is a noteworthy development. A 25% jump in fees is directly tied to a noticeable shortage of these specialists. It seems basic economics are at play here: less supply leads to higher costs. It's causing concern that there might not be enough experts to handle the complexity of claims.
This expert shortage isn't isolated. It reflects a broader trend within agricultural consulting. As farming becomes increasingly complicated, the demand for specialist knowledge is outpacing the number of people with the right skills. This leads to higher hourly rates and potential delays in processing claims, particularly as the specialists are in high demand.
Naturally, the higher fees for consultants have financial implications. Insurers likely have to absorb some of these increased costs, which could eventually be passed along to farmers through higher premiums. This could inadvertently discourage farmers from filing claims, potentially hurting their ability to recover from losses and continue operations.
It's also worth noting that this fee increase isn't uniform geographically. Regions with high concentrations of agricultural activity, like the Midwest, seem to be experiencing the most dramatic hikes in consultant rates. This creates interesting questions about how farmers in different locations will have access to specialized advice and how that might affect claims processing fairness.
One of the root causes seems to be a combination of issues with training and consultant retention. There appears to be a shortage of training programs designed specifically to produce experts in the field of agricultural claims. There's also a challenge in keeping existing specialists, further compounding the issue. If this isn't addressed, it's possible the consultant shortage could become a persistent problem.
Given this issue, there is potential for a shift toward leveraging more technological solutions. If technology can handle some of the tasks typically done by consultants, it might ease the pressure on the existing consultant pool. However, this could involve substantial initial investment in new software or systems.
A direct consequence of fewer available consultants is that claims processing times will likely increase. The insurance industry will be challenged to find experts for each claim, creating potential delays. This can lead to frustrated farmers and strain the relationship between insurers and those they serve.
The types of specialization within agricultural consulting are also evolving. The growing importance of areas like precision agriculture and dealing with climate change means consultants specializing in these areas are in the highest demand. It highlights a need for ongoing professional development to keep up with the industry's pace of change.
It's also likely that we'll see a shift in how insurance risk is assessed. With fewer specialists, the industry may need to move toward more standardized methods of assessment. However, this runs the risk of overlooking specific regional differences that might require specialized knowledge. That could lead to less accurate and less fair claim settlements.
To help mitigate the shortage of specialized consultants, it's probably beneficial for agricultural and insurance stakeholders to collaborate with educational institutions, universities, and technical schools. Partnerships and training programs could help cultivate a pipeline of talent and potentially prepare for a new generation of experts better suited to the future challenges of agricultural insurance claims.
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