Fruit 4.0 De vruchten van meer technologie

Roadmap
A roadmap has been set out using the vision and analysis of the wishes and priorities that resulted
from the study and interviews. It identifies four themes, in which applications will be developed that
can be implemented within the supply chain in the short-term (between now and three years) and
further in the future (over ten years). In brief:
• Management and big data includes processing and analysing all kinds of information during the crop
cycle. Applications target better management information for cultivation, business administration
and the supply chain. This allows steering based on further optimisation of investments for labour
and production materials and increasingly improved fine-tuning of crops and quality in collaboration
with the supply chain. Benchmarking is a useful tool here.
• Observation and detection comprises automated, structured and timely collection of accurate
information during the crop cycle. That prepares the grower to take timely action when this is
necessary and to plan better. And that can increase efficiency and reduce the use of resources.
Sharing plans and forecasts also increases efficiency in the supply chain.
• High-tech solutions for orchards include various machines and robots that can perform an increasing
number of tasks in the orchard. All that enables the grower to reduce use of resources, increase fruit
quality and bring down costs. The expectation is that, over the course of time, this will lead to a
multifunctional robot that will be capable of performing complex tasks autonomously.
• High-tech for the supply chain includes developing applications that help growers and supply chain
partners to deliver better products, reduce losses and avoid unnecessary costs between harvesting
and marketing the product. This includes, for example, a packing robot. In these ways, efficiency
and returns are improving in the supply chain, and it in turn supplies better products to the
consumer.
The four themes are set out in the road map below:
Figure S.2
12 | LEI Rapport 2016-004