estimation crop physical parameters from uav rgb …€¦ · crop1 –1.30 m crop2 –1.41m crop3...
TRANSCRIPT
ESTIMATION CROP PHYSICAL PARAMETERS FROM UAV RGB IMAGERY AND DEEP LEARNING
Maria Polinova, Keren Salinas, Anna Brook
Spectroscopy and Remote Sensing Laboratory, The Department of Geography and Environmental Studies, University of Haifa, Israel
Department of Geography and Environmental Studies
Irrigation management
Inputs
Crop
Field parameters
Weather
Irrigation schedule
Field feedback (crop parameters)
Crop growth guides
Study Area
Data collectionOceanOptics USB4000-VIS-NIR
DJI Phantom 4 Professional Flight planning Image processing Orthophotomosaic
Point measurements (20-50 per plant) Spectra 400-1000nm (accuracy 1nm)
Representative crops
Hight patches (“health”) Mixed patches Low patches (“stressed”)
Neural Network. Stage1 – Full Spectral Resolution
Neural Network. Stage2 – Resampled Spec 2 RGB
Neural Network. Results1– estimation accuracy
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L2 Cotton 1 – Full Spec
H L
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L2 Cotton 1 – Sprc2RGB
H_spec_RGB L_Spec_RGB
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L2 Cotton 1 – RGB image
H_image_RGB L_image_RGB
Crop1 – 1.30 m
Crop2 – 1.41m
Crop3 – 1.36m
Crop4 – 1.36m
Crop5 – 1.64 m
Crop6 – 1.59m
Crop7 – 1.46m
Crop8 – 0.90m
Crop9 – 1.47 m
Crop10 – 1.39m
Crop11 – 1.51m
Crop12 – 1.43m
Crop13 – 1.56m
Pre-processed RGB image
Neural Network. Results2– field scaleCrop class H
5 probability levels0.94–0.950.95–0.960.96–0.970.97–0.98
0.98–1
max prob 0.9889
Crop class L
7 probability levels0.6–0.80.8–0.90.9–0.950.95–0.960.96–0.970.97–0.98
0.98–1
max prob 0.992
Perspective of application
Biomass (g)60 180
Total chlorophyll content (mg g-1)
0.13 3.21
No water stress
Water stress
Leaf area index (m2 /m2)
0.10 2.37
Cotton field with disease
Our projects
Past Present Future
Topic 2.1.3: Irrigationtechnologies andpractices
Low-cost irrigationsystem web-DSS basedon agronomist practice(joint Italian-Israeli R&Dprojects)
Solution for high-throughputand low-costphenotyping of wholeplants in realisticagricultural settings(national R&D projects)
Optimization irrigationschedule by weathershort-term weatherforecasting and fieldspectroscopy (fundedby Israeli WaterAuthority)
Thank you for attention!
For more info please contact:
Maria Polinova - [email protected]
Keren Salinas - [email protected] Brook - [email protected]
Department of Geography and Environmental Studies