Innovation package: Open cultivation

Overview of our projects

Agrifood 01

Full autonomy enabling systems

Within Agrifood01, we are developing an advanced system of autonomous agricultural vehicles equipped with AI-driven sensors and algorithms designed to perform agricultural tasks with high precision and minimal human intervention. By optimizing these autonomous vehicles, we not only increase the efficiency of food production but also contribute to more sustainable farming practices. This project is a crucial step in establishing global standards for sustainable agriculture and improving labor efficiency within the sector.

In this project, we are developing plasma technology as a sustainable alternative to current agricultural solutions. Plasma, produced with electricity and air, can be used for crop protection, nitrogen fixation, and air purification, contributing to the sustainability of agricultural processes. We focus on scaling and implementing this technology to reduce emissions, promote energy transition, and support circular agriculture. This not only accelerates the sustainability of food production but also integrates closely with precision agriculture and autonomous technologies.

Agrifood 02


Agrifood 03


In Agrifood03, we are developing an advanced, electrically powered, and autonomously operating tractor-implement combination to address sustainability and rising labor costs in the agri-tech market. The consortium is working on building 'E-tractors' that we aim to introduce both nationally and internationally. The first step involves building electric prototypes that are extensively tested in a real-world environment. Subsequently, we will further research and develop autonomous techniques. This initiative will not only achieve significant CO2 reduction—estimated at 32,000 tons per year by 2030 for 1,000 tractors, each with 1,000 operating hours—but also ensure a healthy profitability for users and applicators of this new technology, essential for sustainable impact in the sector.

This project focuses on the development of agro-robots and the corresponding digital infrastructure for a global network of autonomous farms. The goal is to accelerate the growth from 10 to 200 autonomous farms, with an expected expansion to 1,000 autonomous farms worldwide by 2029. The multifunctional Robot One from PixelFarming Robotics will be immediately deployable on these farms. The Robot Union acts as a central hub, connecting local autonomous farmers and providing a marketplace for allocating agricultural land.

Agrifood 04

Pixelfarming Robotics

Agrifood 05

Apple picking robot

Agrifood05 focuses on the development of a robot that can not only automatically pick apples in orchards but also perform automated pruning. This initiative aims to export a large number of these robotic systems, with the goal of increasing revenue for strategic partners and production companies in the fruit cultivation sector. For distribution and market reach expansion, we will utilize our existing dealer network, which serves as a foundation and will be further expanded to effectively support this technological advancement.

This project is centered on developing autonomous mobile machines for harvesting field-grown vegetables, employing technologies such as IoT, AI, and robotics. These technologies help to reduce reliance on human labor, minimize food waste, and enhance product quality. The ultimate goal is the implementation of sustainable, automated vegetable harvesting machines that reduce the ecological footprint of agricultural activities.

Agrifood 06

Handsfree autonomous harvesting field-grown vegetables

Agrifood 07

Handsfree Orchards

Within this project, we are developing an autonomous fruit cultivation system where tractors navigate orchards independently, equipped with sensors to monitor each tree individually. It uses artificial intelligence to analyze key growth parameters such as growth, blooming, and production and makes real-time decisions for optimal orchard management. The ultimate goal is fully autonomous orchard management, minimizing human intervention. Initial applications focus on monitoring blossom, growth, and production, and experimental research into disease and pest detection and advanced pruning techniques.

The 'Hollandse Datalinie' project creates an integrated data infrastructure for farmers to manage and protect their own data. This project offers a solution to the fragmented data storage system in which farmers often provide data without central control. Within this project, we are working on a solution that enables farmers to control their data themselves and connect with innovations, leading to better decision-making, transparency in food production, and insights into performance on environmental themes.

Agrifood 08

Hollandse Datalinie

Agrifood 09

Towered Imaging Sensors

The Towered Imaging Sensors (TOIS) project introduces a new method for crop monitoring using cameras from fixed installations. This approach avoids the limitations of satellites (such as cloud cover and sun synchronization) and drones (regulatory and maintenance issues) by utilizing advanced multi- or hyperspectral cameras. TOIS provides high-quality data that are immediately useful for simulations and decision-support calculations. As a proof of concept, this technology is first tested on sports fields in collaboration with the KNVB to improve grass management, and subsequently applied to four demo companies for specific crop monitoring.

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