Difference between revisions of "Machine Learning for Crop Weed Classification"
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===== Students currently working on the project ===== | ===== Students currently working on the project ===== | ||
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=== 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 09:08, 4 September 2017
Machine Learning for Crop Weed Image Classification
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| 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)
Students currently working on the project
Laboratory work and risk analysis
This project is related to software developing so there are no dangerous activities
