| Chlorophyll estimation in soybean leaves infield with smartphone digital imaging and machine learning O Hassanijalilian, C Igathinathane, C Doetkott, S Bajwa, J Nowatzki, ... Computers and Electronics in Agriculture 174, 105433, 2020 | 78 | 2020 |
| Estimation of reference evapotranspiration using spatial and temporal machine learning approaches A Rashid Niaghi, O Hassanijalilian, J Shiri Hydrology 8 (1), 25, 2021 | 53 | 2021 |
| Rating iron deficiency in soybean using image processing and decision-tree based models O Hassanijalilian, C Igathinathane, S Bajwa, J Nowatzki Remote Sensing 12 (24), 4143, 2020 | 22 | 2020 |
| Supply chain model to compare the biorefinery economics and environmental performance of baled and pelleted biomass system R Pandey, O Hassanijalilian, SA Esmaeili, SW Pryor, G Pourhashem BioEnergy Research 17 (1), 334-345, 2024 | 4 | 2024 |
| Measuring soybean iron deficiency chlorosis progression and yield prediction with unmanned aerial vehicle O Hassanijalilian, C Igathinathane, S Day, S Bajwa, J Nowatzki Smart Agricultural Technology 4, 100204, 2023 | 4 | 2023 |
| Decoding common machine learning methods: agricultural application case studies using open source software SN Subhashree, S Sunoj, O Hassanijalilian, C Igathinathane Applied Intelligent Decision Making in Machine Learning, 21-52, 2020 | 3 | 2020 |
| Soybean leaf chlorophyll estimation and iron deficiency field rating determination at plot and field scales through image processing and machine learning O Hassanijalilian North Dakota State University, 2020 | 1 | 2020 |
| Evaluation of Machine Learning Techniques for Daily Reference Evapotranspiration Estimation AR Niaghi, O Hassanijalilian, J Shiri Preprints, 2019 | | 2019 |
Dr. Igathinathane CannayenAssoc. Prof. North Dakota State UniversityVerified email at ndsu.edu
