Our projects focus on Precision Agricultre Farming (PA) for vegetable (Precision Crop Farming) and animal (Precision Livestock Farming) farming, on the one hand, and the digitalization of the agrofood sector, on the other hand. Below you will find an overview of some of our projects. Interested? Make sure you follow us on Twitter to keep in touch with the latest activities or contact us via this website!  


Precision Crop Farming (PCF)

Precision Crop Farming (PCF) focuses on technology that enables farmers to grow crops more efficiently and eco-friendly, while taking the variability of the soil, crop and climate into account. The data processing algorithms and models offer support during the decision making process and to create ‘task maps’. These can be used for site-specific dosing of inputs (precision crop protection and precision spreading). Furthermore, automation and robotization are implemented to increase work efficiency.  


Robots for small-scale (organic) agriculture

Robots are ideal for repetitive and labor-intensive tasks. Moreover, small-scale organic agriculture provides lots of opportunities for the implementation of such (semi-) autonomous robots in the work process. This project’s aim is to develop a robot prototype with specialized implements in co-creation with farmers and mechatronics companies. 
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Disease and weed detection using cameras and AI

Can cameras on sprayer booms and drones combined with AI accurately detect and control disease and weed in the field? Find out in this article about a project where we collaborated with technology manufacturers and competence centers to test this technology on maize and potato crops. 
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Wikileeks: Optimizing leek fertilization strategies

Currently, leek fields are fertilized evenly. However, there is usually considerable soil and crop variation in the field. This project will make use of all sorts of sensor data (soil scans, soil sensors, drone and satellite images) to fertilize leeks in a way that is customized to the needs of the individual leek plant. In addition, we have also created a knowledge platform about precision techniques in vegetable cultivation.

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Innoseta: an online database for spraying technology innovations

Today, a wide variety of innovative spraying tools are available to farmers and it is easy to get lost on the endless company websites in search of them, but hard to compare and filter out the truly innovative technologies without an overarching platform that compiles and structures all this information. That is why the INNOSETA project has launched a website with an online database that offers a structured overview of all innovative techniques, manuals, articles and projects on sustainable ways to spray PPP’s on your crops via search filters and keywords. Explore the INNOSETA knowledge platform and help spread information on innovations by becoming a registered user. Read more >>>


Mechanical marigold harvesting

Marigolds are a promising new crop in Flanders. They are used for essential oils in cosmetics and pharmaceutics or as a seed oil that offers a renewable and environmental friendly alternative for the dyeing and textile industry. Because the crop is in such high demand, it would be interesting to mechanize the marigold harvesting process for farmers and processing companies alike.
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Anomaly detection in potato cultivation via drone technology

Agricultural technological innovations increasingly use Artifical Intelligence (AI) and Deep Learning. Unfortunately, the development of such models is incredibly data-intensive and requires a lot of labelling work. This project will investigate whether semi-supervised learning can be used for anomaly detection in potato cultivation, which will help farmers and advisors decide whether or not they want to use and develop it.


ISOBUS monitoring system for tractors

Modern tractors have various sensors that provide the farmer with useful information. By monitoring the CAN bus, we try to determine the relationship between georeferenced (RTK-GPS) machine parameters such as fuel consumption, traction, and wheel slip, on the one hand, and soil parameters, on the other hand.


OPTIMA: Optimized integrated crop protection

Integrated crop protection contributes to reduced use of plant protection products (PPPs) and therefore offers numerous benefits for the environment, food safety and public health. The aim of the OPTIMA project is to develop innovative solutions to reduce the negative effects from PPP use in the cultivation of fruit (apples and grapes) and vegetables (carrots). A User Group Community is set up during development of the IPM system where stakeholders can participate in technical discussions.


Precision Livestock Farming (PLF)

Precision Livestock Farming (PLF) focuses on technology that helps farm livestock efficiently and eco-friendly, while taking inter-animal variability into account. The sensor technology monitors individual animals (production, welfare, health). Moreover, the data processing algorithms and models translate these into decision support or warning systems to help with the general management of the farm and with the estimation of a time-frame for implementing specific actions or treatments. Sensors monitor animal parameters for each individual animal and also make specific adjustments to the work process possible.


GPS trackers for cows

GPS-trackers help farmers search for grazing cows in the ‘Verdronken Land’ region of Saeftinghe. As a consequence, cows that get stuck in gullies can be saved more easily and they will not die. In addition, the data can be used to record the time that dairy cows spent grazing on pastures, which helps farmers obtain the ‘pasture milk label’.
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Automatic detection of hoof injuries in dairy cattle

By using innovative tools such as infrared cameras and Artifical Intelligence (AI), injuries can be detected automatically and possibly at an early stage. This should result in a reduction of hoof problems and lameness in the dairy cattle of Flemish livestock farmers.
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Pig farm warning system

This project was developed as a response to the increasing demand for more sustainable pork production. We use sensors to collect information about the group and the individual porkers. Moreover, they are used to link data across the value chain. These decision support tools provide the pig farmers with the necessary information to effectively implement and carry out their management activities.
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Low-cost system for monitoring the barn climate and the behaviour of pigs

The ventilation level of pig barns is dependent on the air quality of the barn, the emission level and the welfare of the animals. The aim of this project is to search for cost-efficient sensor solutions to measure the indoor climate of the barn and to monitor the behavior of the animals. With these techniques, we can search for connections between the ventilation schedule, the air quality and the behaviour of the animals and explain them.
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Sustainable Pig Production

In context of Precision Livestock Farming, pig farms equipped with sensors and cameras that monitor environmental parameters, pigs’ weight, feed intake and water usage are actually big data producers. At slaughterhouse level as well, many different data are collected by the people, sensors and camera systems that can help to make decisions about meat quality and logistics. Therefore, the pork production chain needs the deployment of new approaches and higher computation power to manage this huge amount of data and to be able to apply complex algorithms to get the most out of it.  Read more >>> 


Digitalisation in Agrifood (Agrifood 4.0)

Digitalisation in Agrifood (Agrifood 4.0) creates technology that automates the work process, improves the traceability of a product and optimizes products and processes in general. We inspire and support companies in their transition to industry 4.0 hardware and data management (software). To do this, IoT and big data that allow us to connect various steps of the process to each other and to link data back to the primary production, are essential.


Hyperspectral cameras determine meat quality

Quality parameters of food products can be determined automatically with hyperspectral cameras. What is so interesting about working with hyperspectral camera’s is that the process is contact-free and non-destructive, which is especially important for working with meat in hygienic circumstances. We investigate the feasibility of implementing this technology for the objective determination of the quality parameters of pork (Latissimus Dorsi).
Read more (Dutch) >>> 


Djustconnect: Sharing platform for data on the agrifood chain

We launched a data platform that enables various stakeholders of th agrifood chain to exchange data in an efficient and regulated way. This platform can be used to develop new apps that simplify administration, offer management support or give technical advice.
Read more >>>  or Watch the video >>> 


Vision inspection technology demo for food companies

Innovative technology such as vision inspection (RGB, multispectral and hyperspectral) can be used to automate processes and quality controls or to improve traceability. This project organizes a series of demo’s and workshops for food companies of different sub-sectors to demonstrate the added value of this known, but still under-utilized smart technology and to accelerate implementation.
Read more >>>  of watch the video >>> 

Any questions or ideas? Please feel free to contact us.