Machine Learning for Crop Weed Classification

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Machine Learning for Crop Weed Image Classification
Short Description: Automatic detection of crops and weeds by using image data
Tutor: MatteoMatteucci (
Students: LodewijkVoorhoeve (
Research Area: Machine Learning
Research Topic: Image Classification
Start: 2017/09/4
End: 2018/01/31
Status: Active
Level: Ms
Type: Thesis

Project short description

The aim of this project is to transfer the work of Stefano Cereda on crop/weed detection to TensorFlow and to train the model with new data.


Start date: 2017/09/04

End date: 2018/01/30

Project head(s)


Students currently working on the project

Lodewijk Voorhoeve

Laboratory work and risk analysis

This project is related to software developing so there are no dangerous activities