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
Coordinator:
Tutor: MatteoMatteucci (matteo.matteucci@polimi.it)
Collaborator:
Students: LodewijkVoorhoeve (lodewijk.voorhoeve@wur.nl)
Research Area: Machine Learning
Research Topic: Image Classification
Start: 2017/09/4
End: 2018/01/31
Status: Active
Level: Ms
Type: Thesis

Contents

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.

Dates

Start date: 2017/09/04

End date: Still in progress

Project head(s)

M.Matteucci

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