Title: “Prediction of weeds growth”
Profile: Academic level equivalent to a Master 2 in progress or Engineer in its 5th year, in computer science
Duration: 4 to 6 months, from February 2023
Affiliation: Computer Science Lab of the Université de Tours (LIFAT), Pattern Recognition and Image Analysis Team (RFAI)
Indemnity: according to French legislation (around 600€/month in average); plus indemnity for local transports
How to candidate: Send the following documents by e-mail to nicolas.ragot [AT] univ-tours.fr before 1st of February 2023: a CV, motivation letter, your scores including bachelor degree, and references from teachers or people you worked with
Context: This internship takes place inside the regional project DESHERB’ROB (https://desherbrob.insa- cvl.fr) which aims at elaborating new robots for high precision E-agriculture. The robot should be able to localize precisely weeds and to remove them. The originality of the project relies on the use of data coming from drone images as well as temporal data to predict the growth of the weeds and to try to combine them to detect at the earliest the location of weeds apparition. The internship will be done in close relationship with a PhD student.