| Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy A Morellos, XE Pantazi, D Moshou, T Alexandridis, R Whetton, G Tziotzios, ... Biosystems Engineering 152, 104-116, 2016 | 520 | 2016 |
| Non-destructive early detection and quantitative severity stage classification of Tomato Chlorosis Virus (ToCV) infection in young tomato plants using vis–NIR Spectroscopy A Morellos, G Tziotzios, C Orfanidou, XE Pantazi, C Sarantaris, ... Remote Sensing 12 (12), 1920, 2020 | 31 | 2020 |
| Comparison of deep neural networks in detecting field grapevine diseases using transfer learning A Morellos, XE Pantazi, C Paraskevas, D Moshou Remote sensing 14 (18), 4648, 2022 | 25 | 2022 |
| An IoT Transfer Learning-Based Service for the Health Status Monitoring of Grapevines A Morellos, K Dolaptsis, G Tziotzios, XE Pantazi, D Kateris, R Berruto, ... Applied Sciences 14 (3), 1049, 2024 | 1 | 2024 |
| Forecasting of Fusarium head blight spatial distribution in winter wheat using machine learning A Morellos, XE Pantazi, MB Almoujahed, Z Kriaučiūnienė, M Kazlauskas, ... Computers and Electronics in Agriculture 231, 109967, 2025 | | 2025 |
| Investigation of Deep Learning Architectures for Disease Identification of Vines in Agricultural Environments K Dolaptsis, A Morellos, G Tziotzios, A Anagnostis, D Kateris, D Bochtis 2023 6th Experiment@ International Conference (exp. at'23), 122-127, 2023 | | 2023 |
| Prediction of Soil Nitrogen from Spectral Features Using Supervised Self Organising Maps XE Pantazi, D Moshou, A Morellos, RL Whetton, J Wiebensohn, ... Engineering Applications of Neural Networks: 16th International Conference …, 2015 | | 2015 |
