Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.

Cultivation plan control agricultural land

Based on satellite images, crop recognition takes place which are verified with prescribed cropping plans in leases.

Last change on 27th of March 2024, at 10:10 (CET) | Publication Standard 1.0
Publication category
Other algorithms
Impact assessment
Field not filled in.
Status
In use

General information

Theme

Nature and Environment

Begin date

03-2022

Contact information

postbus.rvb.pacht@rijksoverheid.nl

Responsible use

Goal and impact

From the lease administration, short-term contracts for arable plots prescribed cultivation plans with the aim of maintaining or improving soil quality. In practice, deviated and high-yielding crops were often grown, which put a heavier burden on soil quality. Checking was labour-intensive, inspectors had to walk through all plots to assess whether there was a deviation. With the support of this algorithm, it is possible to identify deviations early in a growing season and to direct inspectors in a targeted way on which parcels to visit and determine on the spot whether a deviation actually exists. In the event of a deviation, leaseholders are summoned to comply with the prescribed cultivation plan. This can be done by means of a warning, penalty clause in agreement or termination of agreement.

Considerations

Benefits:

  1. Maintains soil quality through targeted control.
  2. Efficienty, less staffing due to more targeted control.
  3. Complete, all plots are checked.


Disadvantages:

  1. In cloudy weather, plots cannot be properly observed, so not all imagery can be used.
  2. Strong climate fluctuations of extreme drought, rain or heat can affect crop growth curves, making recognition less accurate.

Human intervention

In desk audit, anomalies are communicated to inspectors in the field. An inspector must then visually determine whether there is actually a discrepancy. Visual material (photos) is then taken and lessee is called to account.

Risk management

One of the biggest risks is incorrect signalling (deviation), this risk is overcome by a visual check on site.

Operations

Data

  1. Cadastral information
  2. Public low-resolution satellite images (Sentinel 1 and 2)
  3. Cultivation plan information from lease contract.

External provider

Geronimo AI

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