weed detection and classification using high …
TRANSCRIPT
![Page 1: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/1.jpg)
WEED DETECTION AND CLASSIFICATION USING HIGH RESOLUTION UAV-IMAGERY
Dr. Gilles RockParc d’activités 85 – 87
L-8303 Capellen / Luxembourg
Max-Planck-Straße, 654296 Trier / Germany
http://www.geocoptix.com
![Page 2: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/2.jpg)
Weed detection and classification using high resolution UAV-imagery
Precision Agriculture
(1) (2) (3)
(1) marketresearch.biz(2) https://www.dronethusiast.com/agricultural-drones/(3) (3) independent.ie
![Page 3: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/3.jpg)
Motivation
• Efficiency• Increasing world population• Climate change• Sustainability
Produce more with less: Less water, less land and fewer resources
Weed detection and classification using high resolution UAV-imagery
Precision Agriculture
(1) marketresearch.biz(2) https://www.dronethusiast.com/agricultural-drones/(3) (3) independent.ie
![Page 4: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/4.jpg)
(1)
(2)(3)
Weed detection and classification using high resolution UAV-imagery
Precision Agriculture
The need for data
• “the right dose at the right place at the right moment”• data quality• high potential of remote sensing
satellite, airborne and UAV remote sensing
(1) marketresearch.biz(2) https://www.dronethusiast.com/agricultural-drones/(3) (3) independent.ie
![Page 5: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/5.jpg)
„Effiziente Fruchtfolgen“
Optimizing crop rotation and agricultural systems
Goals:
- optimizing cultivation of rapeseed while reducing use of herbicides- reducing freshwater pollution- prevention of erosion- increasing the biodiversity
RGB DEM
Weed detection and classification using high resolution UAV-imagery
EFFO-Project
![Page 6: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/6.jpg)
RGB DEM
Weed detection and classification using high resolution UAV-imagery
EFFO-Project UAV-study
• image analysis for weed detection and classification• rapeseed• 3 treatments with Metazachlor
Goals:
• Method for weed detection• Suited for an practical, operational service
![Page 7: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/7.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project UAV data acquisition:
UAV MAVinci Sirius Pro RTK
Sensors RGB + NirGB
Flight altitude 77m
GSD 2 cm / pixel
XY-Precision < 4 cm
Acquisition dates 06.10.201614.03.2017
NirGBDEM RGB
![Page 8: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/8.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project UAV data acquisition:
UAV MAVinci Sirius Pro RTK
Sensors RGB + NirGB
Flight altitude 77m
GSD 2 cm / pixel
XY-Precision < 4 cm
Acquisition dates 06.10.201614.03.2017
NirGBDEM RGB
![Page 9: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/9.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project Classification:
datasets RGB, NIR, nDEM, 3 GLCM texture features (ENT, DIS, COR)
method CART
sampling method Poisson Disk (3m)
validation 50:50 crossvalidation
Result class membership probability
sampling
![Page 10: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/10.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project Classification:
datasets RGB, NIR, nDEM, 3 GLCM texture features (ENT, DIS, COR)
method CART
sampling method Poisson Disk (3m)
validation 50:50 crossvalidation
Result class membership probability
probrapeseed probsoilprobweeds classification
![Page 11: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/11.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project
![Page 12: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/12.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project Classification results:
• Autumn: min: 50% , max: 83%
• Spring:min: 69% , max: 84%
• Further processing into task maps• > 50 ha within 18 hours
• no species discrimination @ 2cm/pix
![Page 13: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/13.jpg)
Weed detection and classification using high resolution UAV-imagery
EFFO-Project Classification results:
• Autumn: min: 50% , max: 83%
• Spring:min: 69% , max: 84%
• Further processing into task maps• > 50 ha within 18 hours
• no species discrimination @ 2cm/pix
![Page 14: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/14.jpg)
Weed detection and classification using high resolution UAV-imagery
Precision AgricultureExciting future
Complete change in agriculture• laws• jobs• technology
Use of remote sensing and UAVs in agriculture!
![Page 15: WEED DETECTION AND CLASSIFICATION USING HIGH …](https://reader036.vdocuments.mx/reader036/viewer/2022062602/62b4ac51d95e2672277d01f0/html5/thumbnails/15.jpg)
Parc d’activités 85 – 87L-8303 Capellen / Luxembourg
Max-Planck-Straße, 654296 Trier / Germany
http://www.geocoptix.com
Weed detection and classification using high resolution UAV-imagery