The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems J Jung, M Maeda, A Chang, M Bhandari, A Ashapure, J Landivar-Bowles Current Opinion in Biotechnology 70, 15-22, 2021 | 463 | 2021 |
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS) A Chang, J Jung, MM Maeda, J Landivar Computers and electronics in agriculture 141, 232-237, 2017 | 236 | 2017 |
Comparison of vegetation indices derived from UAV data for differentiation of tillage effects in agriculture J Yeom, J Jung, A Chang, A Ashapure, M Maeda, A Maeda, J Landivar Remote Sensing 11 (13), 1548, 2019 | 117 | 2019 |
Measurement and calibration of plant-height from fixed-wing UAV images X Han, JA Thomasson, GC Bagnall, NA Pugh, DW Horne, WL Rooney, ... Sensors 18 (12), 4092, 2018 | 115 | 2018 |
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data A Ashapure, J Jung, A Chang, S Oh, J Yeom, M Maeda, A Maeda, N Dube, ... ISPRS Journal of Photogrammetry and Remote Sensing 169, 180-194, 2020 | 113 | 2020 |
A comparative study of RGB and multispectral sensor-based cotton canopy cover modelling using multi-temporal UAS data A Ashapure, J Jung, A Chang, S Oh, M Maeda, J Landivar Remote Sensing 11 (23), 2757, 2019 | 104 | 2019 |
Prediction of maize grain yield before maturity using improved temporal height estimates of unmanned aerial systems SL Anderson, SC Murray, L Malambo, C Ratcliff, S Popescu, D Cope, ... The Plant Phenome Journal 2 (1), 1-15, 2019 | 85 | 2019 |
Plant counting of cotton from UAS imagery using deep learning-based object detection framework S Oh, A Chang, A Ashapure, J Jung, N Dube, M Maeda, D Gonzalez, ... Remote Sensing 12 (18), 2981, 2020 | 84 | 2020 |
Automated open cotton boll detection for yield estimation using unmanned aircraft vehicle (UAV) data J Yeom, J Jung, A Chang, M Maeda, J Landivar Remote Sensing 10 (12), 1895, 2018 | 83 | 2018 |
Temporal estimates of crop growth in sorghum and maize breeding enabled by unmanned aerial systems NA Pugh, DW Horne, SC Murray, G Carvalho Jr, L Malambo, J Jung, ... The Plant Phenome Journal 1 (1), 1-10, 2018 | 81 | 2018 |
Validation of agronomic UAV and field measurements for tomato varieties J Enciso, CA Avila, J Jung, S Elsayed-Farag, A Chang, J Yeom, ... Computers and Electronics in Agriculture 158, 278-283, 2019 | 70 | 2019 |
Assessing winter wheat foliage disease severity using aerial imagery acquired from small Unmanned Aerial Vehicle (UAV) M Bhandari, AMH Ibrahim, Q Xue, J Jung, A Chang, JC Rudd, M Maeda, ... Computers and Electronics in Agriculture 176, 105665, 2020 | 66 | 2020 |
Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes J Jung, M Maeda, A Chang, J Landivar, J Yeom, J McGinty Computers and Electronics in Agriculture 152, 74-81, 2018 | 58 | 2018 |
A novel framework to detect conventional tillage and no-tillage cropping system effect on cotton growth and development using multi-temporal UAS data A Ashapure, J Jung, J Yeom, A Chang, M Maeda, A Maeda, J Landivar ISPRS Journal of Photogrammetry and Remote Sensing 152, 49-64, 2019 | 57 | 2019 |
Identification of individual tree crowns from LiDAR data using a circle fitting algorithm with local maxima and minima filtering A Chang, Y Eo, Y Kim, Y Kim Remote sensing letters 4 (1), 29-37, 2013 | 49 | 2013 |
Unoccupied aerial system enabled functional modeling of maize height reveals dynamic expression of loci SL Anderson, SC Murray, Y Chen, L Malambo, A Chang, S Popescu, ... Plant Direct 4 (5), e00223, 2020 | 43 | 2020 |
Hybrid pansharpening algorithm for high spatial resolution satellite imagery to improve spatial quality J Choi, J Yeom, A Chang, Y Byun, Y Kim IEEE Geoscience and Remote Sensing Letters 10 (3), 490-494, 2012 | 41 | 2012 |
Unmanned aircraft system‐(UAS‐) based high‐throughput phenotyping (HTP) for tomato yield estimation A Chang, J Jung, J Yeom, MM Maeda, JA Landivar, JM Enciso, CA Avila, ... Journal of Sensors 2021 (1), 8875606, 2021 | 40 | 2021 |
Comparison of canopy shape and vegetation indices of citrus trees derived from UAV multispectral images for characterization of citrus greening disease A Chang, J Yeom, J Jung, J Landivar Remote Sensing 12 (24), 4122, 2020 | 40 | 2020 |
Multicenter study of QuantiFERON®-TB Gold Plus in patients with active tuberculosis DJ Horne, BE Jones, A Kamada, K Fukushima, KL Winthrop, SAR Siegel, ... The International Journal of Tuberculosis and Lung Disease 22 (6), 617-621, 2018 | 35 | 2018 |