| 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 | 472 | 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 |
| Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest BK Pekin, J Jung, LJ Villanueva-Rivera, BC Pijanowski, JA Ahumada Landscape ecology 27, 1513-1522, 2012 | 138 | 2012 |
| 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 | 118 | 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 | 118 | 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 | 114 | 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 | 108 | 2019 |
| Ensemble multiple kernel active learning for classification of multisource remote sensing data Y Zhang, HL Yang, S Prasad, E Pasolli, J Jung, M Crawford IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 105 | 2014 |
| Combined vegetation volume and “greenness” affect urban air temperature AY Davis, J Jung, BC Pijanowski, ES Minor Applied Geography 71, 106-114, 2016 | 94 | 2016 |
| 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 | 86 | 2020 |
| 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 | 86 | 2019 |
| 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 | 84 | 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 | 67 | 2020 |
| Soundscapes reveal disturbance impacts: biophonic response to wildfire in the Sonoran Desert Sky Islands A Gasc, BL Gottesman, D Francomano, J Jung, M Durham, J Mateljak, ... Landscape Ecology 33, 1399-1415, 2018 | 67 | 2018 |
| A framework for land cover classification using discrete return LiDAR data: Adopting pseudo-waveform and hierarchical segmentation J Jung, E Pasolli, S Prasad, JC Tilton, MM Crawford IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 61 | 2014 |
| 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 |
| 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 | 44 | 2020 |
Juan A. LandivarTexas A&M AgriLife Reserach, Corpus Christi and WeslacoZweryfikowany adres z ag.tamu.edu