NEWS 3 November 2023

Agricultural evolution with deep learning

Deep learning is pivotal in modern agriculture, especially for advanced agri-robots.


Using vast data, these robots discern patterns, optimising tasks from herbicide application to disease detection. However, their consistent performance hinges on a deep-learning system adept at agricultural complexities. This Mikroniek article explores challenges in crafting such systems, touching on economic impacts and design trade-offs. The AutoDL Platform is introduced, which is a solution for merging data & model management, task automation, and application insights. (Image courtesy of VBTI)


References

Professional education program (Microcredentials)

The aim of the DSPE professional education program is to equip professionals with the specialized knowledge, skills, and competencies needed to design and realize innovative (high tech) systems.

Read more
Techcafé met als thema Manufacturability

Dé plek om ongedwongen nieuwe contacten op te doen én onder het genot van een borrel en bitterbal te sparren over tech onderwerpen.

Read more
Marriage of opto-mechatronics and electron…

This year’s DSPE Opto-Mechatronics Symposium attracted some 100 participants from academia and industry, all of whom seized the opportunity for networking, meeting technical peers, and visiting an interesting small-scale exhibition.

Read more