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Karim Panjvani
Karim Panjvani
Software Engineering Lead, Global Institute for Food Security, University of Saskatchewan
Verified email at gifs.ca - Homepage
Title
Cited by
Cited by
Year
LiDARPheno–A low-cost LiDAR-based 3D scanning system for leaf morphological trait extraction
K Panjvani, AV Dinh, KA Wahid
Frontiers in plant science 10, 147, 2019
602019
Explainable Deep Learning in Plant Phenotyping
S Mostafa, D Mondal, K Panjvani, L Kochian, I Stavness
Frontiers in Artificial Intelligence 6, 1203546, 2023
172023
Multi-focus fusion technique on low-cost camera images for canola phenotyping
T Cao, A Dinh, KA Wahid, K Panjvani, S Vail
Sensors 18 (6), 1887, 2018
152018
Iterative image segmentation of plant roots for high-throughput phenotyping
K Seidenthal, K Panjvani, R Chandnani, L Kochian, M Eramian
Scientific Reports 12 (1), 16563, 2022
102022
Constitutive basis of root system architecture: uncovering a promising trait for breeding nutrient-and drought-resilient crops
Z Liu, T Qin, M Atienza, Y Zhao, H Nguyen, H Sheng, T Olukayode, ...
Abiotech 4 (4), 315-331, 2023
52023
Application of an improved 2-dimensional high-throughput soybean root phenotyping platform to identify novel genetic variants regulating root architecture traits
R Chandnani, T Qin, H Yi, H Hu, K Panjvani, M Tokizawa, J Mora-Macías, ...
Plant Phenomics 5, 2023
52023
LiDARPheno: A Low-Cost LiDAR-based 3D Scanning System for Plant Morphological Trait Characterization
K Panjvani
University of Saskatchewan, 2018
22018
An approach to detect branches and seedpods based on 3D image in low-cost plant phenotyping platform
T Cao, K Panjvani, A Dinh, K Wahid, P Bhowmik
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering …, 2017
22017
Evaluation of variation in seedling root architectural traits and their potential association with nitrogen fixation and agronomic traits in field pea accessions
LK Dhillon, R Chandnani, A Nakhforoosh, T Qin, K Panjvani, JA Feurtado, ...
Crop Science, 2024
2024
Plant Root Occlusion Inpainting with Generative Adversarial Network
H Song, K Panjvani, Z Liu, H Amar, L Kochian, S Ye, X Yang, JA Feurtado, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 531-539, 2023
2023
Regression based algorithms for predicting age of an Arabidopsis plant
K Panjvani, A Dinh, K Wahid, P Bhowmik
2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering …, 2017
2017
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