AI.Land – Autonomous vegetable cultivation with AI and robotics at Agritechnica

With Davegi and Aplamo, AI.Land is demonstrating at Agritechnica how autonomous vegetable cultivation is becoming a reality through the targeted use of AI and robotics. The systems presented combine technological precision with agricultural experience—for a new form of sustainable vegetable cultivation that relies on artificial intelligence, adaptive machines, and sophisticated system architecture. The aim is to automate all processes from planting to harvesting, while responding flexibly to the individual requirements of the crops.

Automated cultivation with Davegi – the circular system for precision

The Davegi system is at the heart of AI.Land's autonomous vegetable cultivation. It is based on a circular arrangement concept that breaks new ground not only aesthetically but also functionally. Davegi organizes the entire cultivation process – sowing, care, weed control, and harvesting – autonomously, controlled by complex AI algorithms and a dense network of sensors.

Special attention is paid to individualization: each individual plant is monitored separately and treated according to its degree of maturity. This results in a dynamic system that continuously checks where action is needed, rather than a rigid schedule. The vision: an intelligent food storage system that guarantees maximum yield and freshness in the smallest of spaces.

Aplamo: Robotics for open fields – flexible, networked, precise

In addition, AI.Land offers Aplamo, an autonomous platform for field work on larger areas. This mobile robotics unit is capable of moving independently across the terrain and planting, tending, or harvesting crops with high precision. This is based not only on real-time data from drone systems, but also on intelligent databases containing agronomic knowledge. Aplamo recognizes differences in soil, growth patterns, and disturbances such as weed patches. Through targeted control, the system can intervene exactly where it is needed – without any human intervention. All control is carried out via a central platform operated on the company's own servers. This means that data processing remains local, secure, and independent of external cloud services.

AI and robotics enable selective harvesting for mixed vegetable boxes

A key feature of autonomous vegetable cultivation with Davegi and Aplamo is selective harvesting. Instead of relying on monoculture, AI.Land's technology allows individual plants to be harvested precisely when they have reached their optimal ripeness. The harvested units are processed directly into customer-specific vegetable boxes before they even leave the field. This concept of digitally controlled vegetable harvesting not only reduces harvest losses but also minimizes storage times. Consumers receive products that have literally been harvested at the last minute – it couldn't be any fresher. At the same time, this approach allows for the efficient implementation of mixed crops, which increases biodiversity in the field and preserves soil quality in the long term.

Embodied AI: Robotic arms with motion intelligence

The implementation of so-called embodied AI is particularly challenging from a technological perspective. This is a form of artificial intelligence that not only analyzes data but also physically intervenes in the environment – for example, through robotic arms that selectively pick, cut, or plant crops. These movements are not standardized but are specifically trained for each type of vegetable. Different movement profiles are used for lettuce, leeks, or carrots. These processes are controlled via “AI at the Edge” – i.e., directly on site on powerful computing units that operate without a cloud connection. This makes the system adaptive, responsive, and highly efficient. Especially in autonomous vegetable cultivation with robotics, this proximity to the plant is crucial for avoiding errors and maximizing harvest quality.

Sustainability as a system principle: solar power and water recovery

The autonomous units operate continuously and are energy self-sufficient. Solar cells on the system supply the robots with electricity, which is temporarily stored in buffer storage tanks. This enables 24/7 operation even in changeable weather conditions. The inclined alignment of the panels also allows rainwater to be collected and used for irrigation. This saves resources and creates closed water cycles directly in the field. In addition, AI.Land is investigating the use of hydrogen technologies to ensure an emission-free energy supply even in regions with low solar radiation. This makes autonomous vegetable cultivation not only efficient but also ecologically sustainable.

Applications for agriculture, cities, and institutions

The systems' scope of application goes far beyond traditional agriculture. Especially in urban regions or for commercial kitchens, hospitals, educational institutions, and companies, autonomous vegetable cultivation with AI and robotics can open up new possibilities. The goal is a locally anchored, personalized food supply – independent of staff availability, seasonal fluctuations, or supply chain problems.

With Davegi and Aplamo, AI.Land is demonstrating at Agritechnica that technological innovation in agriculture is no longer a vision of the future. Autonomous vegetable cultivation is becoming a reality – controlled by artificial intelligence, implemented by robotics, and supported by a sustainable overall concept.