Food & Farm


We are only just getting started with bringing the power of AI, Machine Vision and Robotics to the world of Food and Farms. Due to the high variability of natural products and the delicate approach, it has traditionally been hard for many processes to be automated. Deep learning has changed how we teach machines and with our long history of applying these techniques, we look forward to your challenge!



When we started building the first pieces of our Robovision AI it was always with an operator-first mindset, they had to be able to perform the steps of creating and fine-tuning AI without the need of a machine vision AI expert. Today this is one of the cornerstones of our platform and we continue to simplify AI.


Working with natural products means constant change. New breeds and varieties as well as crops that are harvested just a few days apart all require a system that can quickly adapt and capture new intelligence.


Robovision is scaling farms and food producers across the globe through automating steps that traditionally only could be done by humans. We build systems that push AI training and deploying to fields, farms and processing plants.

Capture Intelligence

Available algorithms

Training algorithms to tell a robot where to grab a plant, cut a flower or to remove an alien object from your raw materials, with Robovision AI we enable your business with powerful AI capabilities to optimize your workflow.


Our Experience

We have been active in the agriculture field since 2009 combining machine vision and robotics technologies. We understand the challenges natural products bring to processes in the Food & Farm business and have built our platform from the ground up to handle the diversity of products and processes in the world of Food & Farms.


To dictate precise movements and accurate actions from robots we employ 3D techniques to make the right analysis. Natural products are delicate and require precision and accuracy when handling them to ensure the robots inflict no damage.

Food and farm industries deal with tight timeframes to process food and organic products. Traditionally many tasks required human eyes and hands as well as a dependency on seasonal workers. With Robovision AI we can automate many processes and put the robots to work for you!

Sorting food and plants requires fast systems that can handle the high throughput to sort the bad from the good. With Robovision AI you can detect foreign objects such as plastic/glass vs food grade products. You can automate and optimize quality control processes and become consistent in the products you bring to the market.

The sisters think it is hilarious to dump bags of lentils in Cinderella’s lap, or in the fireplace, or on the hearth, and make Cinderella sort the good from the bad.

Every year crops that come from the field differ in size, shape and color, and the same goes for new GMO varieties. With Robovision AI you are ready to handle these fluctuations, our system is built to adapt to constant change. By grouping wide ranges of breeds and varieties into “super” models, we drastically reduce the operator workload and dependencies for a full-time operation.


Isogroup use-case

Since 2009 Robovision and ISO Group have been innovating together and changing the world of planting. The machines are deployed all over the world and are continuously expanding to bring efficiency and innovation to fields and farms everywhere.

Cutting planter 2500

Cutting & planting 1800

Cutting planter 4000

Bulb planting system

Trusted Tech

Mitsubishi Electric Corporation

Mitsubishi Electric Corporation (三菱電機株式会社, Mitsubishi Denki kabushiki gaisha) is one of the world’s leading names in the manufacturing and sales of electrical and electronic products and systems used in a broad range of fields and applications.


All our Exobots™️ are designed to be fully autonomous. Based on state-of-the-art sensors, mapping, processing, machine learning and control technologies our robots can navigate safely and robustly. By using physically realistic simulation tools most navigation strategies can be tested before actually moving a robot.