R
Riad Balaghi
Researcher at Institut national de la recherche agronomique
Publications - 22
Citations - 467
Riad Balaghi is an academic researcher from Institut national de la recherche agronomique. The author has contributed to research in topics: Arid & Irrigation. The author has an hindex of 9, co-authored 21 publications receiving 367 citations.
Papers
More filters
Journal ArticleDOI
Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco
TL;DR: This study proposes empirical ordinary least squares regression models to forecast the yields at provincial and national levels of wheat in Morocco based on dekadal (10-daily) NDVI/AVHRR, deKadal rainfall sums and average monthly air temperatures.
Journal ArticleDOI
Evaluating NDVI Data Continuity Between SPOT-VEGETATION and PROBA-V Missions for Operational Yield Forecasting in North African Countries
Michele Meroni,Dominique Fasbender,Riad Balaghi,Mustapha Dali,Myriam Haffani,Ismael Haythem,Josh Hooker,Mouanis Lahlou,Raúl López-Lozano,Hamid Mahyou,Moncef Ben Moussa,Nabil Sghaier,Talhaoui Wafa,Olivier Leo +13 more
TL;DR: Yield estimation performances are not affected (Morocco and Algeria) or improved (Tunisia) by the source transition, and both the (null) hypotheses that the model predictions and the root mean square error (RMSE) in yield estimation are not different, when using PROBA-V instead of SPOT-VGT, cannot be rejected.
Journal ArticleDOI
New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco
Simone Bregaglio,Nicolò Frasso,Valentina Pagani,Tommaso Stella,C. Francone,G. Cappelli,Marco Acutis,Riad Balaghi,H. Ouabbou,Livia Paleari,Roberto Confalonieri +10 more
TL;DR: In this article, the authors adapted the models WOFOST and CropSyst to agro-climatic conditions in Morocco by measuring aboveground biomass six times along the season.
Journal ArticleDOI
Cereal Yield Forecasting with Satellite Drought-Based Indices, Weather Data and Regional Climate Indices Using Machine Learning in Morocco
El houssaine Bouras,Lionel Jarlan,Salah Er-Raki,Riad Balaghi,Abdelhakim Amazirh,Bastien Richard,Said Khabba +6 more
TL;DR: In this paper, the authors developed an early forecasting model of cereal yields (soft wheat, barley and durum wheat) at the scale of the agricultural province considering the 15 most productive over 2000-2017 (i.e., 15 × 18 = 270 yields values).
Journal ArticleDOI
Monitoring surface water content using visible and short-wave infrared SPOT-5 data of wheat plots in irrigated semi-arid regions
TL;DR: In this paper, the authors evaluated the potential of two spectral indices, calculated from SPOT-5 high-resolution visible HRV data, to retrieve the surface water content values from bare soil to completely covered soil over wheat fields and detect irrigation supplies in an irrigated area.