'Computing' with plants - new sensor platform and technique from computer science successfully used to 'quantify' plant behavior
improve chicken productivity and welfare.Research approachA marketable, modular system-based toolbox of sensors and interpretation possibilities is the final goal, which will be further developed towards 2 commercial activities:1.
PLF technologies and research have focused predominantly on single applications for which a small number of specific parameters are monitored by a specific sensor (e.g., pH value monitoring for illness, milk analysis for mastitis, activity detection for oestrus).
Main research questionIn goat farming, how can we develop/improve a wireless automated monitoring system with sensors on the animal to provide the farmer with real-time insight into the daily (inter)action of the dairy goats?
Modern farms create a huge amount of data based on IoT sensors and drones, while vast EO data become available via Copernicus Hubs. AgriDataValue aims to establish itself as the “Game Changer” in Smart Farming and agri-environmental monitoring.
Main research questionThis now finalized Interreg Flanders-Netherlands project had the intention to make new biosensor technology industrially applicable, at least to the level of a finely tuned, reliable demonstrator, with the right scale and connected to a clear software platform. That was successful.
Precise fertigation based on model prediction (Big Data) and sensor technology that can reduce environmental pollution and save water resources, leading simultaneously to higher yields with improved quality (foodwaste reduction).
Using open-source use of intelligent sensors, robotics, AI and big data, we aim to create new forms of urban agro-production for a local, resilient and fair food system.Research approachAction learning takes center stage. The STEM & VORK project offers two linked trajectories that build on a series of introductory workshops.
The specific objectives are: (a) to investigate the sensitivity of Flemish citizens to androstenone; (b) to validate an LC-MS method for the simultaneous detection of the three known compounds of boar taint (androstenone, skatole en indole); (c) to evaluate the sensorial assessment by trained experts in the abattoir as an at-line method to detect boar