case study with FANCAMPO Mexico
  • Case study

FANCAMPO Mexico Uses Remote Sensing For Crop Insurance

The crop insurance market in Mexico is currently in a state of evolution and expansion. The Mexican government and private insurance companies are working collaboratively to provide comprehensive insurance coverage to farmers for a variety of crops and associated risks.

Despite these efforts, a significant portion of the agricultural sector, particularly small-scale farmers, remains underinsured, indicating a gap in the market that needs to be addressed. Additionally, climate change poses a significant challenge to the sector, necessitating innovative insurance products and risk management strategies to cope with the increasing frequency and severity of weather-related events .

One solution to this complex situation is for insurance providers to embrace the opportunities stemming from the availability of big data and the rapidly flourishing commercial space sector. As a result, there is a growing emphasis on leveraging such technology. For instance, FANCAMPO Mexico is a reputable insurance fund that leverages satellite imagery analytics to improve the accuracy and efficiency of claims processing and risk assessment for their clients in agriculture.

Overview: About FANCAMPO

FANCAMPO (Fondo de Aseguramiento Nacional Agropecuario y Rural) is an insurance entity in Mexico dedicated to providing comprehensive risk coverage to the agricultural sector. It plays a crucial role in supporting farmers by offering a range of insurance programs designed to safeguard against various risks such as weather-related events, pests, and diseases. The mission of the fund is to protect the heritage of agricultural producers in Mexico and to secure the operational continuity of their production units by meeting risk management needs.

FANCAMPO is a key player in the Mexican agricultural insurance market, striving to consolidate the local agricultural sector with the capacity, resources, and culture needed to manage the risks affecting national rural activity. To turn this strategic vision into reality, the company works in collaboration with EOS Data Analytics, integrating satellite data in their daily operations.

Challenges: Lack Of Data, Need For Streamlining Processes

FANCAMPO commenced its agricultural insurance operations in 2021, starting with the Spring-Summer cycle by implementing a parametric scheme for corn cultivation in the state of Jalisco. However, they were unable to operate during the Autumn-Winter cycle due to the absence of a satellite service provider.

Overall, the business goal of FANCAMPO in this case, could be described as the need to obtain a reliable source of information for evaluating agricultural properties and processing insurance claims.

In the short term, they needed to perform continuous monitoring of the fields subject to insurance, maintaining records that could be accessed and analyzed as needed. Meanwhile, their long-term goals include the development of customized solutions for tailor-made projects.

EOSDA Crop Monitoring

Fields analytics tool with access to high-resolution satellite images for remote problem areas identification!

Solutions: Comprehensive Claims Assessment, Continuous Fields Monitoring

In 2022, FANCAMPO reached out to EOS Data Analytics to implement EOSDA Crop Monitoring as their primary source of remote sensing analytics. Initially focusing on monitoring NDVI (Normalized Difference Vegetation Index), the company’s agronomists gradually expanded their scope of analytics by employing numerous tools available on the platform.

In the event of an accident that negatively impacts crop health and potential yields of insured fields, FANCAMPO’s agronomists examine satellite images of the impacted property. Additionally, a technician is dispatched to physically inspect the property. To enhance the assessment’s accuracy, the results from both the monitoring and field visits are put together and examined in synergy to formulate a decision on the claim.

The most frequently used features of the EOSDA Crop Monitoring by FANCAMPO are Season Analytics, Field Leaderboard, and Scout Tasks.

Total insured area, FANCAMPO
Total insured area, that is being monitored by FANCAMPO.

EOSDA Crop Monitoring has helped us to effectively and continuously oversee crops. We can accurately estimate the precise time when crops are exposed to either insured or non-insured risks.

For instance, in the event of drought-related incidents, satellite imagery can pinpoint the exact timeframe when crops begin to show signs of stress or damage.

FANCAMPO-insured field
Screenshots of FANCAMPO-insured field exhibiting risk patterns potentially subject to insurance claims proceedings.

Having access to this information enables FANCAMPO to promptly assist insured clients. Moreover, if a producer expresses a need, they supply satellite imagery of the insured properties as evidence of risks or their absence.

Results: Precise Risk Management, Scaling Opportunities

Overall, EOSDA Crop Monitoring has helped FANCAMPO to provide the highest level of precision in their service and to improve the processing time of claims, thereby contributing to the trust and satisfaction of fund members.

It’s necessary to highlight that EOSDA Crop Monitoring has allowed us to evaluate the value of insured entities and the validity of insurance claims with a high degree of precision and data reliability. Additionally, we spend 30-35% less time identifying accident areas, which helps us to understand when the accident occurred.

In 2023, FANCAMPO has set an ambitious goal to insure over 50,000 hectares of cotton, barley, corn, wheat, and sugarcane crops across 10 Mexican states. This is part of their commitment, in collaboration with EOSDA, to deliver top-notch service to their partners and their insured crops.

Looking ahead, the fund plans to co-develop products with EOSDA that will enable state-level monitoring of large surface areas through automated alert systems. This will ensure that the platform’s data is accessible to producers, insured entities, state representatives, and FANCAMPO simultaneously, thereby eliminating any potential information bias among the parties.

Did you enjoy this article?
Thanks for your feedback!

About the author:

Lidiia Lelechenko Account Executive at EOS Data Analytics

Lidiia Lelechenko holds a Master Degree in Viticulture, Winemaking & Marketing obtained in ESA (École supérieure d'agricultures d'Angers). She has over 6 years of experience in various roles related to SaaS solutions sales and research activities in sensory analysis. Currently, Lidiia is responsible for strengthening EOSDA presence and recognition on European markets as an Account Executive.

Recent articles

Growing Cassava: From Land Choice & Planting To Harvest
  • Crop cultivation

Growing Cassava: From Land Choice & Planting To Harvest

Growing cassava can work well even in poor soils and dry conditions, unsuitable for most other crops. So, farmers can achieve high yields even under less-than-ideal conditions without too much input.

Kakhovka Dam Flooding Detection In Ukraine For PEJ
  • Case study

Kakhovka Dam Flooding Detection In Ukraine For PEJ

EOSDA helped Project Expedite Justice calculate the flooding of the surrounding area around the Kakhovka Dam destruction on June 6, 2023, for the justice report for the International Criminal Court.

Downy Mildew: How To Identify, Prevent, And Control
  • Crop management

Downy Mildew: How To Identify, Prevent, And Control

Controlling downy mildew — an aggressive crop disease — requires early identification and action. Targeted prevention strategies have a direct impact on the overall economic sustainability of farming.