Hema Duddu
Hema Duddu
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Deepwheat: Estimating phenotypic traits from crop images with deep learning
S Aich, A Josuttes, I Ovsyannikov, K Strueby, I Ahmed, HS Duddu, ...
2018 IEEE Winter conference on applications of computer vision (WACV), 323-332, 2018
Crop lodging prediction from UAV-acquired images of wheat and canola using a DCNN augmented with handcrafted texture features
S Mardanisamani, F Maleki, S Hosseinzadeh Kassani, S Rajapaksa, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Increased seeding rate and multiple methods of mechanical weed control reduce weed biomass in a poorly competitive organic crop
OS Alba, LD Syrovy, HSN Duddu, SJ Shirtliffe
Field Crops Research 245, 107648, 2020
Classification of crop lodging with gray level co-occurrence matrix
S Rajapaksa, M Eramian, H Duddu, M Wang, S Shirtliffe, S Ryu, ...
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 251-258, 2018
High-throughput UAV image-based method is more precise than manual rating of herbicide tolerance
HSN Duddu, EN Johnson, CJ Willenborg, SJ Shirtliffe
Plant Phenomics, 2019
UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity
KD Singh, HSN Duddu, S Vail, I Parkin, SJ Shirtliffe
Canadian Journal of Remote Sensing 47 (1), 33-47, 2021
Automatic detection and segmentation of lentil crop breeding plots from multi-spectral images captured by UAV-mounted camera
I Ahmed, M Eramian, I Ovsyannikov, W van der Kamp, K Nielsen, ...
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1673-1681, 2019
Does yield loss due to weed competition differ between organic and conventional cropping systems?
D Benaragama, SJ Shirtliffe, EN Johnson, HSN Duddu, LD Syrovy
Weed Research 56 (4), 274-283, 2016
From RGB to NIR: Predicting of near infrared reflectance from visible spectrum aerial images of crops
M Aslahishahri, KG Stanley, H Duddu, S Shirtliffe, S Vail, K Bett, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle-Based Imagery
T Zhang, S Vail, HSN Duddu, IAP Parkin, X Guo, EN Johnson, SJ Shirtliffe
Frontiers in Plant Science 12, 686332, 2021
Developing an integrated weed management system for herbicide-resistant weeds using lentil (Lens culinaris) as a model crop
C Redlick, LD Syrovy, HSN Duddu, D Benaragama, EN Johnson, ...
Weed Science 65 (6), 778-786, 2017
Variation of seed dormancy and germination ecology of cowcockle (Vaccaria hispanica)
HSN Duddu, SJ Shirtliffe
Weed Science 62 (3), 483-492, 2014
Quantifying hail damage in crops using sentinel-2 imagery
T Ha, Y Shen, H Duddu, E Johnson, SJ Shirtliffe
Remote Sensing 14 (4), 951, 2022
Image-Based Rapid Estimation of Frost Damage in Canola (Brassica napus L.)
HSN Duddu, V Pajic, SD Noble, KK Tanino, SJ Shirtliffe
Canadian Journal of remote sensing 44 (2), 169-175, 2018
Data-driven multispectral image registration
R Yasir, M Eramian, I Stavness, S Shirtliffe, H Duddu
2018 15th Conference on Computer and Robot Vision (CRV), 230-237, 2018
Field pea and lentil tolerance to interrow cultivation
KA Stanley, SJ Shirtliffe, D Benaragama, LD Syrovy, HSN Duddu
Weed Technology 32 (2), 205-210, 2018
Effect of seeding rate on dose response of wild mustard (Sinapis arvensis) to fluthiacet-methyl
C Redlick, HSN Duddu, LD Syrovy, CJ Willenborg, EN Johnson, ...
Weed Science 65 (4), 525-533, 2017
Spatial super resolution of real-world aerial images for image-based plant phenotyping
M Aslahishahri, KG Stanley, H Duddu, S Shirtliffe, S Vail, I Stavness
Remote Sensing 13 (12), 2308, 2021
Effects of pollination timing and distance on seed production in a dioecious weed Silene latifolia
JF Anderson, HSN Duddu, SJ Shirtliffe, D Benaragama, LD Syrovy, ...
Acta Oecologica 69, 153-160, 2015
A semi‐automatic workflow for plot boundary extraction of irregularly sized and spaced field plots from UAV imagery
T Ha, H Duddu, A Vandenberg, S Shirtliffe
The Plant Phenome Journal 5 (1), e20039, 2022
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