An Evaluation of Soil Moisture Retrieval Using Machine Learning Methods: Application in Arid Regions of Tunisia. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2021)

SmartEarthTunisia: A Benchmark for Monitoring the SDGs USING Earth Observation Data and Deep Learning Techniques In Tunisia. - Hanen Balti; Manel Rhif; Farah Chouikhi; Raja Inoubli; Azza Abidi; Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IGARSS, 2022)

A Machine Learning Framework for Cereal Yield Forecasting Using Heterogeneous Data. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (ISDA (2), 2022)

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods. - Noureddine Jarray; Ali Ben Abbes; Manel Rhif; Hanen Dhaou; Mohamed Ouessar; Imed Riadh Farah (Environ. Model. Softw., 2022)

A Novel Teacher-Student Framework for Soil Moisture Retrieval by Combining Sentinel-1 and Sentinel-2: Application in Arid Regions. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (IEEE Geosci. Remote. Sens. Lett., 2022)

Machine learning for food security: current status, challenges, and future perspectives. - Noureddine Jarray; Ali Ben Abbes; Imed Riadh Farah (Artif. Intell. Rev., 2023)

Advances in remote sensing based soil moisture retrieval: applications, techniques, scales and challenges for combining machine learning and physical models. - Ali Ben Abbes; Noureddine Jarray; Imed Riadh Farah (Artif. Intell. Rev., 2024)