Difference between revisions of "Machine Learning for Crop Weed Classification"

From AIRWiki
Jump to: navigation, search
(Students currently working on the project)
Line 29: Line 29:
 
===== Students currently working on the project =====
 
===== Students currently working on the project =====
  
[[User:LodewijkVoorhoeve|LodewijkVoorhoeve]]
+
[[User:LodewijkVoorhoeve|Lodewijk Voorhoeve]]
  
 
=== Laboratory work and risk analysis ===
 
=== Laboratory work and risk analysis ===
  
 
This project is related to software developing so there are no dangerous activities
 
This project is related to software developing so there are no dangerous activities

Revision as of 10:08, 4 September 2017

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

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