AgriTech AI Vision Day: adding value with image data and AI

AGAi develops AI-based Soil Intelligence for agrifood producers and processing-related supply chains. Our models predict yield, quality and harvest times based on soil, climate and cultivation data months in advance. For the first time, we are enabling more predictable, resilient and efficient production systems - from field to processing

Karevo develops compact optical potato sorting systems, ideal for direct marketers and family farms. With intelligent image processing, the systems reliably detect defects and sort efficiently, making the day-to-day work of farms easier, saving time and ensuring consistently high quality.

KIREAP is an AI and DeepTech startup that bundles agricultural data and goods flows from the field to the customer in an integrated, digital ecosystem.
By combining satellite data, AI, blockchain and quantum technology, KIREAP develops innovative solutions for efficient and sustainable agriculture.

While farmers reduce their farming costs and increase yields, buyers gain planning certainty and transparency for their supply chain and climate goals.

Insurers and authorities benefit from lower monitoring costs.

TALOS is a Munich-based NewSpace start-up that develops satellite-based IoT technology for tracking wildlife and livestock from space. Lightweight, solar-powered tags record location, movement, temperature and acceleration data and transmit it via a CubeSat constellation. The technology enables sensor-based data collection from remote regions - with direct applications in livestock monitoring, pasture analysis, early detection of animal diseases and wildlife protection.

FeldSchau GmbH develops digital products that simplify, accelerate and objectify complex observation and analysis tasks for plants, animals and the environment. Founded in 2024 in Ingolstadt from the Ingolstadt University of Applied Sciences and the Weihenstephan-Triesdorf University of Applied Sciences, we support the "green industry" in its daily tasks. Our vision is to record the status of plants and animals in production and ecosystems in an automated, reliable and scalable way.