HEA BLO AGR Wildlife damage assessment

Wildlife damage assessment for crop insurance

Wild boar damage on corn was quickly and accurately assessed before harvest with PIX4Dfields, helping a farmer with crop insurance claims.

Wild boars in cornfields cause significant yield losses for farmers and challenge insurance companies with damage assessments. Copterinspect, a northern Germany-based company founded in 2023 by farmer and drone expert Henry Kühl, used PIX4Dfields to efficiently and reliably quantify wild boar damage. Specializing in agricultural applications, Copterinspect also provides object surveying and building inspections, leveraging innovative drone technology to address diverse farming challenges across northern Germany.

Detecting wild boar damage in corn fields within a day

Before the corn harvest, Copterinspect was tasked with assessing wild boar damage in several fields. Manual estimation was slow and inaccurate, so he used a multispectral drone flight and NDVI analysis with PIX4Dfields. The project, including report generation and crop loss estimation, took 3 hours.

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RGB drone images showing vegetation damage caused by waterlogging due to soil compaction (left) and dead corn plants lying on the field as a result of wild boar damage (right)

After the drone flight, Henri processed and analyzed the images in PIX4Dfields. He was then able to identify vegetation damage that was caused by other factors like water logging and mark and exclude it using PIX4Dfields’ obstacle functionality. By generating an NDVI map, he identified areas with less vegetation and created a variable rate biomass map with three levels indicating different biomass areas.

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NDVI map of a corn field indicating different levels of plant biomass: areas without plants (red color), areas with affected plants (yellow color), areas with healthy plants (green color)
IMG BLO AGR Wildlife damage assessment 3
Field areas affected by other factors like water logging, marked in PIX4Dfields’ NDVI map
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Table generated in PIX4Dfields, indicating plant biomass damage level
LocationGermany
UserHenry Kühl
Project duration3 hours
Area surveyed14 hectares
Software usedPIX4Dfields
Hardware usedDJI Mavic 3 Multispectral with RTK, 7 batteries, power station, charger, 128GB SD storage
Processing hardwareLaptop: Fujitsu Celsius Core i7, Netgear Nighthawk router
Images captured500
GSD0,9

Yield loss estimation for crop insurance

Using PIX4Dfields, Henry generated a detailed crop damage report in just 3 hours. Among various crop insights, he discovered wild boars preferred one corn variety over another. The report supports the farmer’s insurance claims, detailing compensation for the damage.

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Comparison of NDVI index map (left) and orthomosaic (right) in PIX4Dfields indicating accuracy on field areas affected by wild boar damage
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Close-up of corn plants affected by wild boar damage on NDVI map (left) and on orthomosaic (right) in PIX4Dfields

Results and benefits

  • Complete losses and partial damages were zoned
  • All data was incorporated into a PIX4Dfields report, providing the farmer and their insurer with a reliable basis for decision-making
  • Total damage: around 109 metric tons of lost yield, worth more than €3,800 (excluding VAT)
“Without Pix4D, I wouldn’t have taken on this project, nor would I be able to work as a service provider.” Henry Kühl, Copterinspect

PIX4Dfields enables effective agricultural use, such as assessing wild boar damage. With multispectral drone imagery, fast offline processing, and an intuitive interface, it empowers providers like Copterinspect to deliver farmers actionable data for damage and yield analysis, requiring no prior expertise.

Since insurance claims for wild boar damage rely on accurate data collection, all parties benefit from the precise mapping, application, and documentation options that PIX4Dfields provides:

  • Farmers gain a clear factual basis for their claims
  • Insurance companies can rely on robust, objective data
  • Service providers such as Copterinspect establish themselves as competent and reliable partners
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