Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Research Opportunity
Apply now View Formal Call
Research Opportunity

Robotics and Automation for agriculture and forestry.

[Closed]

Work description

- Collecting images with different sensors in real context and its annotation with phenotypic characteristics relevant to the agronomic process. - Create image datasets to test and validate neural networks for robots applied in forestry and agriculture. - Establish causal relationships between phenotypic characteristics derived from images and useful attributes for the agronomic process. - Validate robotics solutions for agriculture in a real context.

Academic Qualifications

MSc in Agronomy

Minimum profile required

Proven experience in using deep learning algorithms for precision agriculture context applications.The jury may not award the scholarship if the quality of the candidates is inferior to that intended.

Preference factors

Experience in writing scientific articles Knowledge in image processing Availability for advanced training at the PhD level

Application Period

Since 27 Dec 2021 to 11 Jan 2022

[Closed]

Cluster / Centre

Industrial and Systems Engineering / Robotics in Industry and Intelligent Systems

Scientific Advisor

Mário Cunha