Sharing references: the power of Brainbay and Agrimeter

To determine the value of agricultural real estate, it is crucial to have reliable and up-to-date data. Modern technologies are a very suitable support for this. Platforms such as Brainbay and Agrimeter are now well-known examples that help to simplify the sharing of references. We explain how these platforms support the appraiser in the valuation of agricultural real estate.

The complexity of agricultural real estate

KATE is at the heart of the agricultural real estate market. Over the past two years, 6,000 agricultural valuations have been carried out using KATE software. Together with working groups from the various trade associations, we look every day at how we can improve the KATE platform in order to accelerate the valuation process. Brainbay and Agrimeter mainly help with searching for references that are immediately available in the KATE software, and thus in the final report.

Agricultural valuation is often more complex than valuing a regular office building. It is a considerable sum: for example, how many plots of land belong to an agricultural company? What is the yield of milk? And how many hectares of land belong to the real estate object? But also: is it a livestock farm, greenhouse horticulture or arable farming? All these factors contribute to the final valuation value of the object.

Together we are strong

We all know it: collaboration in the agricultural market is very important. Sharing knowledge with partners helps to keep references up to date and to greatly expand the diversity of data. In this way, we are building a complete database with access to a large diversity of information about various agricultural and rural companies: from greenhouse horticulture to dairy farms.

Brainbay and Agrimeter are online platforms that provide valuable data, analyses and insights for the valuation of agricultural real estate. This provides valuers with a wealth of information that is of incalculable value in the valuation process. We explain how the platforms work.

Brainbay

Brainbay was founded by the NVM. It is a real estate database with information about homes, commercial real estate and of course agricultural companies. The database is the source for all the offers on Funda and real estate websites. For example, they work with the Reference API. This generates an overview of comparable real estate objects. To use Brainbay, you must be an NVM member.

Agrimeter

Agrimeter was set up by the Dutch Association of Landlords and Real Estate Professionals. The aim of the platform is to collect and make available agricultural data and references in one portal. With Agrimeter, users can organise their own transaction database and save a lot of costs and time by simplifying the sharing of references.

They do this with visual presentations of data, data enrichment and the possibility to share information with partners. Agrimeter is a public platform, so every agricultural appraiser can use it for a fee.

All reference data in one place

KATE software links all reference data in one place. That is why we have also added links with Brainbay and Agrimeter to our software. This gives appraisers access to all current reference data.

How does it work? You simply log in with your Brainbay or Agrimeter credentials and our software retrieves all the information from Brainbay and Agrimeter. This way, relevant reference data is linked directly to your valuation report.

In addition to the link with Brainbay and Agrimeter, our valuation software has all kinds of other links with public sources. Think for example of Google, information about soil types, the Land Registry and information about crop rotation or the groundwater level.

With all this information in one place, much less searching is needed. This allows appraisers to focus on the most valuable parts of a valuation report. We provide the reference data, appraisers take care of the rest with their knowledge and expertise. Together we are building a future-proof agricultural real estate market.

Was this blog interesting? Then keep an eye on our next blogs about working with trade associations, calculation models and delivering via XBRL.