Every tree needs technology that is precise enough

Consumers want good, affordable and sustainably grown fruit all year round. This places high demands on production in the orchard, as well as on storage, quality and planning. At the same time, fruit cultivation requires a lot of labour and craftsmanship. Pruning, crop health, harvesting and quality all depend on making the right choices at the right time. Wrong decisions can have consequences for years. Every orchard, and even every tree, has its own dynamics. This variation is exactly what makes technology in fruit cultivation promising, but also demanding. A robot, sensor or data model must be able to deal with changing conditions in the orchard and reliably support the fruit grower in daily operations.

Within the Open Cultivation innovation package, NXTGEN Hightech Agrifood works on technology that is developed and tested closer to orchard practice. On this page, you can see why fruit cultivation is an important domain within Open Cultivation. You will find the main use cases, the test location in Randwijk and public summaries with results and lessons learned.

In fruit cultivation, no two trees are the same. Growth, fruit set, leaf development, health and quality vary by variety, plot and season. At the same time, tasks such as pruning, crop management and harvesting must be carried out within short time windows. This still requires a lot of manual work, while the availability of labour is becoming more difficult. This creates a clear practical question. How can technology help growers work faster, more accurately and more consistently, with less manual labour and still enough attention for every tree?

Within the Open Cultivation innovation package, this practical context is central. Technology development does not start with the robot or sensor alone, but with what the fruit grower needs in the orchard. A solution only gains value when it can recognise differences, support decision making and fit the way growers, machines and cultivation systems work together.

In fruit cultivation, automation is about tasks where observation and timing are key. Think of monitoring growth and flowering, picking and crop management. Autonomous systems must be able to deal with branch structure, fruit position, ripeness, tree shape and changing conditions in the orchard. The three-dimensional nature of the crop makes it extra challenging to use technology reliably in cultivation.

That is why camera technology, sensors, AI models, software and machine control are not viewed separately. Together, they must form a workable application. For growers, this means labour can be used in a more targeted way and decisions around pruning, harvesting and crop management can be better supported. For technology companies and researchers, it becomes clearer what a solution needs to do before wider application across more businesses becomes realistic.

Data only becomes useful in fruit cultivation when it helps improve decisions in the orchard. By collecting the right data, growers gain insight into growth, quality, harvest timing and differences between trees or plots. Machines can then be controlled based on this data to optimise production. This is where sensors, digital registrations and AI models can add value.

When this information is available at the right time, growers can plan more effectively, save labour and manage crops more accurately. At the same time, this information helps improve technology further. What is measured and learned in the orchard gives direction to the next step in development, validation and application.

Within the Open Cultivation innovation package, fruit cultivation shows how precise technology needs to be in order to create value in a living cultivation environment. Within the Handsfree Agrifood ecosystem, growers, technology companies, researchers and other partners come together to test solutions faster, align them more closely with orchard practice and make them suitable for wider use. This creates knowledge that helps take the next step, through use cases, field labs, public summaries or direct contact.