| GHG global emission prediction of synthetic N fertilizers using expectile regression techniques K Benghzial, H Raki, S Bamansour, M Elhamdi, Y Aalaila, ... Atmosphere 14 (2), 283, 2023 | 3 | 2023 |
| Crop classification using deep learning: A quick comparative study of modern approaches H Raki, J González-Vergara, Y Aalaila, M Elhamdi, S Bamansour, ... International Conference on Applied Informatics, 31-44, 2022 | 3 | 2022 |
| Combining AI Tools with Non-Destructive Technologies for Crop-Based Food Safety: A Comprehensive Review H Raki, Y Aalaila, A Taktour, DH Peluffo-Ordóñez Foods 13 (1), 11, 2023 | 2 | 2023 |
| Interactive information visualization models: a systematic literature review MA Ortega-Bustamante, W Hasperué, DH Peluffo-Ordóñez, D Imbaquingo, ... International Conference on Computational Science and Its Applications, 661-676, 2023 | 2 | 2023 |
| A comparative study of Machine Learning-based classification of Tomato fungal diseases: Application of GLCM texture features C Nyasulu, A Diattara, A Traore, C Ba, PM Diedhiou, Y Sy, H Raki, ... Heliyon 9 (11), 2023 | 1 | 2023 |
| Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction Y Aalaila, I Bachchar, H Raki, S Bamansour, M Elhamdi, K Benghzial, ... SN Computer Science 5 (1), 75, 2023 | | 2023 |
| Combining AI Tools with Non-destructive Technologies for Crop-based Food Safety: A Comprehensive Review (preprint) H Raki, Y Aalaila, A Taktour, D Peluffo | | 2023 |
| Construction and assessment of bacterial consortia enabling higher P use efficiency through in vitro and in planta experiments H Raki Mohammed VI Polytechnic University, 2021 | | 2021 |
| Assessment of Fungal Disease Severity in Tomato Leaves Using Convolutional Neural Networks C Nyasulu, A Diattara, A Traore, C Ba, PM Diedhiou, Y SY, ... Available at SSRN 4713194, 0 | | |
Diego Hernán Peluffo-OrdóñezHead of the SDAS Research Group (https://sdas-group.com/)Verified email at sdas-group.com
