| Vis/NIR spectroscopy and chemometrics for the prediction of soluble solids content and acidity (pH) of kiwifruit A Moghimi, MH Aghkhani, A Sazgarnia, M Sarmad Biosystems engineering 106 (3), 295-302, 2010 | 214 | 2010 |
| Detection of fusarium head blight in wheat using a deep neural network and color imaging R Qiu, C Yang, A Moghimi, M Zhang, BJ Steffenson, CD Hirsch Remote Sensing 11 (22), 2658, 2019 | 127 | 2019 |
| Ensemble feature selection for plant phenotyping: a journey from hyperspectral to multispectral imaging A Moghimi, C Yang, PM Marchetto IEEE Access 6, 56870-56884, 2018 | 94 | 2018 |
| Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat A Moghimi, C Yang, JA Anderson Computers and Electronics in Agriculture 172, 105299, 2020 | 87 | 2020 |
| A novel approach to assess salt stress tolerance in wheat using hyperspectral imaging A Moghimi, C Yang, ME Miller, SF Kianian, PM Marchetto Frontiers in plant science 9, 1182, 2018 | 87 | 2018 |
| A novel machine learning approach to estimate grapevine leaf nitrogen concentration using aerial multispectral imagery A Moghimi, A Pourreza, G Zuniga-Ramirez, LE Williams, MW Fidelibus Remote Sensing 12 (21), 3515, 2020 | 58 | 2020 |
| A robo-vision algorithm for automatic harvesting of green bell pepper A Moghimi, MH Aghkhani, MR Golzarian, A Rohani, C Yang 2015 ASABE Annual International Meeting, 1, 2015 | 21 | 2015 |
| Performance analysis of a solar dryer equipped with a recycling air system and desiccant chamber MH Aghkhani, MH Abbaspour-Fard, MR Bayati, H Mortezapour, SI Saedi, ... Journal of Agricultural Machinery 3 (2), 92-103, 2013 | 19 | 2013 |
| Interpretation of viscoelastic behaviour of sweet cherries using rheological models A Moghimi, MH Saiedirad, EG Moghadam International Journal of Food Science & Technology 46 (4), 855-861, 2011 | 18 | 2011 |
| Ensemble hyperspectral band selection for detecting nitrogen status in grape leaves R Omidi, A Moghimi, A Pourreza, M El-Hadedy, AS Eddin 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 17 | 2020 |
| Spray backstop: a method to reduce orchard spray drift potential without limiting the spray and air delivery A Pourreza, A Moghimi, FJA Niederholzer, PA Larbi, G Zuniga-Ramirez, ... Sustainability 12 (21), 8862, 2020 | 14 | 2020 |
| A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees R Omidi, A Pourreza, A Moghimi, G Zuniga-Ramirez, H Jafarbiglu, ... Computers and Electronics in Agriculture 194, 106761, 2022 | 11 | 2022 |
| Selecting informative spectral bands using machine learning techniques to detect Fusarium head blight in wheat A Moghimi, C Yang, JA Anderson, SK Reynolds 2019 ASABE Annual International Meeting, 1, 2019 | 10 | 2019 |
| Hyperspectral imaging to identify salt-tolerant wheat lines A Moghimi, C Yang, ME Miller, S Kianian, P Marchetto Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2017 | 10 | 2017 |
| Improvement of NIR transmission mode for internal quality assessment of fruit using different orientations A Moghimi, MH Aghkhani, A Sazgarnia, MH ABBASPOUR‐FARD Journal of Food Process Engineering 34 (5), 1759-1774, 2011 | 10 | 2011 |
| Developing an aeroponic smart experimental greenhouse for controlling irrigation and plant disease detection using deep learning and IoT M Narimani, A Hajiahmad, A Moghimi, R Alimardani, S Rafiee, ... 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 7 | 2021 |
| Integrating Hyperspectral Imaging and Artificial Intelligence to Develop Automated Frameworks for High-throughput Phenotyping in Wheat A Moghimi University of Minnesota, 2019 | 5 | 2019 |
| Detection of cold stressed maize seedlings for high throughput phenotyping using hyperspectral imagery C Xie, C Yang, A Moghimi Hyperspectral Imaging Sensors: Innovative Applications and Sensor Standards …, 2017 | 5 | 2017 |
| Desigining of Computer Vision Algorithm to Detect Sweet Pepper for Robotic Harvesting Under Natural Light A Moghimi, MH Aghkhani, MR Golzarian Journal of Agricultural Machinery 5 (1), 82-91, 2015 | 4 | 2015 |
| Drone-based multispectral imaging and deep learning for timely detection of branched broomrape in tomato farms M Narimani, A Pourreza, A Moghimi, M Mesgaran, P Farajpoor, ... Autonomous Air and Ground Sensing Systems for Agricultural Optimization and …, 2024 | 2 | 2024 |
Ce YangUniversity of MinnesotaVerified email at umn.edu