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 | 60 | 2019 |
Explainable Deep Learning in Plant Phenotyping S Mostafa, D Mondal, K Panjvani, L Kochian, I Stavness Frontiers in Artificial Intelligence 6, 1203546, 2023 | 17 | 2023 |
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 | 15 | 2018 |
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 | 10 | 2022 |
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 | 5 | 2023 |
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 | 5 | 2023 |
LiDARPheno: A Low-Cost LiDAR-based 3D Scanning System for Plant Morphological Trait Characterization K Panjvani University of Saskatchewan, 2018 | 2 | 2018 |
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 | 2 | 2017 |
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 |