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Responsible Data Exchange in Agriculture

In recent years, technology has transformed the agricultural industry in numerous ways. Farmers are now able to collect and store massive amounts of data on their crops, soil, and livestock, which can be used to make informed decisions about their operations. However, the collection and exchange of this data can present significant challenges, particularly when it comes to data fragmentation, ownership, quality, privacy & security.


In this blog post, we’ll discuss the key issues surrounding data exchange in agriculture and SoilBeat’s approach to data sharing.


Responsible Data Exchange in agriculture, handshake

Data exchange issues in agriculture

During conversations with farmers, they told us most challenges they have with data sharing are related to:


Data fragmentation

Farmers collect data from various sources such as:

  • Management systems

  • Suppliers

  • Weather reports

  • Monitoring devices

However, this data is often scattered across different platforms, making it difficult to combine, analyze, and derive insights. Fragmented data can lead to inefficiencies in decision-making, as farmers are unable to access a comprehensive overview of their operations.


Data ownership

In many cases, third-party companies collect and control farm data, leaving farmers with limited ownership and control over their information. This can be problematic since farmers

  • cannot always access their own data

  • cannot control who has access to it

  • may lose (their!) historical data when they switch to a different data platform

Data quality

The quality of the data that comes from third parties is often poor. This is mainly due to the lack of open data standards. Open data standards provide a common framework for data formatting and exchange. And they also ensure compatibility between different sources.


Privacy & security

Farm data can be incredibly valuable, and it can be used to gain insights into crop yields, soil health, and other aspects of farm operations. However, this also means that data can be a target for hackers or other malicious actors who may seek to steal or exploit it.


You can read more about issues when adopting data-driven agriculture in this blogpost.


SoilBeat’s approach to data exchange in agriculture

At SoilBeat, we recognize the importance of responsible data exchange in agriculture. We believe that farmers and growers should have full ownership and control over their data, and that data should be collected and handled in a way that protects farmers’ rights and privacy.


We use 3 core principles when it comes to data usage:


1. Full ownership to the farmer or grower

The farmer or grower also determines who gets access and never lose historical data.


2. Easy integration using open data standards

Open data standards are necessary to ensure compatibility between the different sources. We believe there should be a common understanding of data formatting, which facilitates efficient transfer of data between farmers, platforms and systems. This helps different stakeholders to collaborate to identify best practices, develop new technologies, and drive innovation in the agricultural sector.


Read more about our integrations below and on our website.


3. Safe data exchange

Safe data exchange is very important for us. To guarantee the data rights of farmers and growers, we align with the Codes of Conduct of BO Akkerbouw and Copa Cogeca.


Data integrations in agriculture

Our Integrations

We believe that integration is key to making data-driven decision making in agriculture more accessible and efficient. Integrations help to streamline the decision-making process. By making it easier to access data from other platforms, farmers can save time and reduce errors in their decision making. This can lead to increased efficiency and productivity on the farm. That’s why we are constantly working on developing APIs and integrations with various platforms:


1. Farmer Management Software (FMS)

By integrating with FMS, farmers can get a more complete picture of their operations, making more informed decisions. We work on integrations with FMS including Trimble, SmartFarm, Dacom, and Werktrekker.


2. Labs

Integrations with labs allow farmers to easier monitor soil & plant health and nutrient levels, which can help to increase crop yields. We work on integrations with labs, including Eurofins, Van Iersel, NovaCropControl, ALNN, Nutrilab, Fertilab, and Groen Agro Control.


3. Other Relevant Platforms

SoilBeat also works on integrations with other useful platforms to streamline the decision-making process, including Boer & Bunder, RVO, and weather data platforms.


Interested to see how our app works? Create a demo account!



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