| Crop yield prediction using deep neural networks S Khaki, L Wang Frontiers in plant science 10, 621, 2019 | 782 | 2019 |
| A CNN-RNN framework for crop yield prediction S Khaki, L Wang, SV Archontoulis Frontiers in Plant Science 10, 1750, 2020 | 560 | 2020 |
| Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning S Khaki, H Pham, L Wang Scientific Reports 11 (1), 11132, 2021 | 160 | 2021 |
| Winter wheat yield prediction using convolutional neural networks from environmental and phenological data AK Srivastava, N Safaei, S Khaki, G Lopez, W Zeng, F Ewert, T Gaiser, ... Scientific reports 12 (1), 3215, 2022 | 122 | 2022 |
| WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting S Khaki, N Safaei, H Pham, L Wang Neurocomputing 489, 78-89, 2022 | 95 | 2022 |
| Deepcorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang Knowledge-Based Systems 218, 106874, 2021 | 74 | 2021 |
| Corn yield prediction with ensemble CNN-DNN M Shahhosseini, G Hu, S Khaki, SV Archontoulis Frontiers in plant science 12, 709008, 2021 | 68 | 2021 |
| Convolutional neural networks for image-based corn kernel detection and counting S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang Sensors 20 (9), 2721, 2020 | 65 | 2020 |
| Predicting yield performance of parents in plant breeding: A neural collaborative filtering approach S Khaki, Z Khalilzadeh, L Wang Plos one 15 (5), e0233382, 2020 | 46 | 2020 |
| Classification of crop tolerance to heat and drought—a deep convolutional neural networks approach S Khaki, Z Khalilzadeh, L Wang Agronomy 9 (12), 833, 2019 | 43 | 2019 |
| High-throughput image-based plant stand count estimation using convolutional neural networks S Khaki, H Pham, Z Khalilzadeh, A Masoud, N Safaei, Y Han, W Kent, ... Plos one 17 (7), e0268762, 2022 | 18 | 2022 |
| Rs-dpo: A hybrid rejection sampling and direct preference optimization method for alignment of large language models S Khaki, JJ Li, L Ma, L Yang, P Ramachandra arXiv preprint arXiv:2402.10038, 2024 | 17 | 2024 |
| A hybrid deep learning-based approach for optimal genotype by environment selection Z Khalilzadeh, M Kashanian, S Khaki, L Wang Frontiers in Artificial Intelligence 7, 1312115, 2024 | 2 | 2024 |
| Comprehensive crop yield prediction using transformer-enhanced neural networks considering different combinations of sequential data including weather, genotype, and apsim … Z Khalilzadeh, SS Sajid, S Khaki, L Wang, G Hu Improving crop productivity through data-driven optimization and hybrid deep …, 2024 | 1 | 2024 |
| Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models S Khaki, AA Aditya, Z Karnin, L Ma, O Pan, SM Chandrashekar arXiv preprint arXiv:2309.03831, 2023 | 1 | 2023 |
| Conformal prediction intervals for neural networks using cross validation S Khaki, D Nettleton arXiv preprint arXiv:2006.16941, 2020 | 1 | 2020 |
| Novel deep learning-based methods for high-throughput image-based plant phenotyping and large scale crop yield prediction S Khaki Iowa State University, 2022 | | 2022 |
Lizhi WangProfessor, Oklahoma State UniversityBestätigte E-Mail-Adresse bei okstate.edu