The document discusses the transition from traditional decision-making in agriculture to digital technologies that enhance data-driven practices, using concepts like precision agriculture. It highlights the importance of collecting and interpreting data to tailor farming actions, while also addressing challenges like data security, ownership, and rural connectivity. The adoption of IoT and blockchain is expected to improve data management, supply chain traceability, and food safety in the agricultural sector.

2. Reinder Prins
Digital agriculture specialist
Charles Green
Director of Thought Leadership

3. The move from traditional decision
making to using digital tech
Traditional decision
making involved
interpreting local
conditions
- How soil has performed
- Traditional weather
patterns
Digital technology
enhances and
improves traditional
decision making
- Data
- Analytics

4. Digital Ag, or Precision Agriculture,
is a farm management concept.
It is centred around the belief that
growers need to measure and
respond to inter and intra-field
variability in crops, or individual
animal metrics in herds, instead of
treating everything the same.

5. Collecting the data
Making data available on a
platform farmers and growers
can easily use
Interpreting the data
What does the information
mean for my decision making
process?
Execution
Changing specific actions based
on the analysis, e.g. tailoring the
amount of feed per cow

6. Internet of things
Blockchain
Data storage platforms

7. ● Networks of physical devices that collect data and are able
to connect and exchange this data, are set to rapidly
advance digital agriculture
● Metrics enable us to actively manage crops
● By using sensor data, crop management decisions can be
tailored to micro-climates once they are identified
● Overcoming rural connectivity issues
● IT security issues

8. Following the adoption of IoT
technology and sensors, blockchain will
help organize and secure this data
● Blockchain technology has already
been used for trading agricultural
commodities
● We believe the biggest and most
immediate impact will be ensuring
the accurate traceability of supply
chains in agriculture
● Significant enhancement to food
safety for providers and consumers

9. Data storage in agriculture is more complicated than in other sectors
● Data security
● But data is much more valuable when shared
● But who has access to this data? Who owns the data? Every data
point has a GPS coordinate and can be traced to an individual field
Need new technologies to provide greater rural connectivity
● LPWAN, LoRaWAN

10. By using the right equipment, apps
and other software, stakeholders
from farmers to technology service
providers, can set themselves up for
success.
However, issues such as data
security, data sharing, ownership and
the traceability of data remain
important matters to solve.

12. Contact details
Reinder Prins
reinderprins@gmail.com
Charles Green
cgreen@belatrixsf.com