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6. Recent applications of machine learning, remote sensing, and iot approaches in yield prediction: a critical review

Author

Bassine, Fatima Zahra, Epule, Terence Epule, Kechchour, Ayoub, and Chehbouni, Abdelghani

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Networking and Internet Architecture, Computer Science - Software Engineering
Abstract

The integration of remote sensing and machine learning in agriculture is transforming the industry by providing insights and predictions through data analysis. This combination leads to improved yield prediction and water management, resulting in increased efficiency, better yields, and more sustainable agricultural practices. Achieving the United Nations' Sustainable Development Goals, especially "zero hunger," requires the investigation of crop yield and precipitation gaps, which can be accomplished through, the usage of artificial intelligence (AI), machine learning (ML), remote sensing (RS), and the internet of things (IoT). By integrating these technologies, a robust agricultural mobile or web application can be developed, providing farmers and decision-makers with valuable information and tools for improving crop management and increasing efficiency. Several studies have investigated these new technologies and their potential for diverse tasks such as crop monitoring, yield prediction, irrigation management, etc. Through a critical review, this paper reviews relevant articles that have used RS, ML, cloud computing, and IoT in crop yield prediction. It reviews the current state-of-the-art in this field by critically evaluating different machine-learning approaches proposed in the literature for crop yield prediction and water management. It provides insights into how these methods can improve decision-making in agricultural production systems. This work will serve as a compendium for those interested in yield prediction in terms of primary literature but, most importantly, what approaches can be used for real-time and robust prediction., Comment: 35 pages, 12 figures, 14 tables

Published
2023

10. Gridded Datasets for Climatic and Hydrological Characterization over the Main River Basins in Moroccan Atlas Mountains

Author

Boudhar, Abdelghani, Baba, Wassim Mohamed, Marchane, Ahmed, Ouatiki, Hamza, Bouamri, Hafsa, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Ksibi, Mohamed, editor, Negm, Abdelazim, editor, Hentati, Olfa, editor, Ghorbal, Achraf, editor, Sousa, Arturo, editor, Rodrigo-Comino, Jesus, editor, Panda, Sandeep, editor, Lopes Velho, José, editor, El-Kenawy, Ahmed M., editor, and Perilli, Nicola, editor

Published
2024
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11. Evaluation of Statistical and Deep Learning Methods for Short-Term Weather Forecasting in Semi-arid Regions

Author

El Hachimi, Chouaib, Belaqziz, Salwa, Khabba, Saïd, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Chenchouni, Haroun, editor, Zhang, Zhihua, editor, Bisht, Deepak Singh, editor, Gentilucci, Matteo, editor, Chen, Mingjie, editor, Chaminé, Helder I., editor, Barbieri, Maurizio, editor, Jat, Mahesh Kumar, editor, Rodrigo-Comino, Jesús, editor, Panagoulia, Dionysia, editor, Kallel, Amjad, editor, Biswas, Arkoprovo, editor, Turan, Veysel, editor, Knight, Jasper, editor, Çiner, Attila, editor, Candeias, Carla, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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12. Application of a Decision Support Tool to Assist Water Governance Within a Water-Stressed Area: Case of the Souss Basin, Morocco

Author

Attar, Oumaima, Brouziyne, Youssef, Bouchaou, Lhoussaine, Ait Brahim, Yassine, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Chenchouni, Haroun, editor, Zhang, Zhihua, editor, Bisht, Deepak Singh, editor, Gentilucci, Matteo, editor, Chen, Mingjie, editor, Chaminé, Helder I., editor, Barbieri, Maurizio, editor, Jat, Mahesh Kumar, editor, Rodrigo-Comino, Jesús, editor, Panagoulia, Dionysia, editor, Kallel, Amjad, editor, Biswas, Arkoprovo, editor, Turan, Veysel, editor, Knight, Jasper, editor, Çiner, Attila, editor, Candeias, Carla, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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13. Potential of Support Vector Machine Fed by ERA5 for Predicting Daily Discharge in the High Atlas of Morocco

Author

Bargam, Bouchra, Boudhar, Abdelghani, Kinnard, Christophe, Nifa, Karima, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Chenchouni, Haroun, editor, Zhang, Zhihua, editor, Bisht, Deepak Singh, editor, Gentilucci, Matteo, editor, Chen, Mingjie, editor, Chaminé, Helder I., editor, Barbieri, Maurizio, editor, Jat, Mahesh Kumar, editor, Rodrigo-Comino, Jesús, editor, Panagoulia, Dionysia, editor, Kallel, Amjad, editor, Biswas, Arkoprovo, editor, Turan, Veysel, editor, Knight, Jasper, editor, Çiner, Attila, editor, Candeias, Carla, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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14. Topography-Based Estimation of Evapotranspiration at High Altitudes in Semi-arid Regions

Author

Sebbar, Badreddine, Merlin, Olivier, Khabba, Saïd, Simonneaux, Vincent, Bouchet, Marine, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Bezzeghoud, Mourad, editor, Ergüler, Zeynal Abiddin, editor, Rodrigo-Comino, Jesús, editor, Jat, Mahesh Kumar, editor, Kalatehjari, Roohollah, editor, Bisht, Deepak Singh, editor, Biswas, Arkoprovo, editor, Chaminé, Helder I., editor, Shah, Afroz Ahmad, editor, Radwan, Ahmed E., editor, Knight, Jasper, editor, Panagoulia, Dionysia, editor, Kallel, Amjad, editor, Turan, Veysel, editor, Chenchouni, Haroun, editor, Ciner, Attila, editor, and Gentilucci, Matteo, editor

Published
2024
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21. Understanding the Groundwater Recharge Processes in the Moroccan Middle Atlas Using Water Isotopes ( 2H)

Author

Rhoujjati, Nadia, Hanich, Lahoucine, Brahim, Yassine Ait, Rhoujjati, Ali, Patris, Nicolas, Chehbouni, Abdelghani, Bouchaou, Lhoussaine, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Çiner, Attila, editor, Barbieri, Maurizio, editor, Khan, Md Firoz, editor, Ugulu, Ilker, editor, Turan, Veysel, editor, Knight, Jasper, editor, Rodrigo-Comino, Jesús, editor, Chenchouni, Haroun, editor, Radwan, Ahmed E., editor, Kallel, Amjad, editor, Panagoulia, Dionysia, editor, Candeias, Carla, editor, Biswas, Arkoprovo, editor, Chaminé, Helder I., editor, Gentilucci, Matteo, editor, Bezzeghoud, Mourad, editor, and Ergüler, Zeynal Abiddin, editor

Published
2024
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25. Assessment of the modified two-source energy balance (TSEB) model for estimating evapotranspiration and its components over an irrigated olive orchard in Morocco

Author

Ourrai Sara, Aithssaine Bouchra, Amazirh Abdelhakim, Er-RAKI Salah, Bouchaou Lhoussaine, Jacob Frederic, and Chehbouni Abdelghani

Subjects
Evapotranspiration, Priestley-Taylor coefficient, Trees, ET partitioning, Arid zones, Agriculture (General), S1-972, Agricultural industries, HD9000-9495
Abstract

Olives constitute a frequently grown crop in semi-arid areas. Therefore, accurate quantification of evapotranspiration (ET) within olive groves is crucial to enhance agricultural water productivity and promote their resilience to water scarcity and future climate scenarios. In the present work, we assessed the accuracy of 3 versions of the Two-Source-Energy-Balance (TSEB) model, the first one “TSEB-SPT” using a standard Priestley-Taylor coefficient (αPT) to estimate the transpiration, the second one called “TSEB-CPT” constrained by a computed αPT using measured ET along with the equilibrium term, and the third one “TSEB-SM” where soil moisture is used as an additional constraint to improve the soil evaporation. The 3 models were applied over an irrigated olive orchard in the Tensift basin (Morocco) during two growing periods of 2003 and 2004. The comparison with ground-based flux measurements from Eddy-Covariance tower and sap flow data revealed that the TSEB-SPT model overestimates ET with an average relative error of 87% and a percentage bias of ‐78% during the two growing seasons. Conversely, TSEB-SM and TSEB-CPT improved ET estimates as compared to TSEB-SPT, with mean relative errors of 31% and 24% and an average percentage bias of 0.6% and ‐7.4%, respectively. For ET partitioning, TSEB-SM appears to be less effective in estimating transpiration, while the simulated transpiration by TSEB-CPT fits well the actual one with a root mean square error of 0.27 mm, mainly during the summer of 2003. These results open a path for future improvements: by reviewing the calibration procedure of αPT, and implementing alternative formulas to compute the evaporation, the TSEB-SM could be potentially a robust tool for monitoring the seasonal variation of ET and its partitioning over a heterogeneous canopy cover.

Published
2024
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33. Projecting Spatiotemporal Extent of Hydrological Drought in a North African Watershed: Outlooks on Hydrological Response

Author

Brouziyne, Youssef, Benaabidate, Lahcen, Bouchaou, Lhoussaine, Abouabdilah, Aziz, Chehbouni, Abdelghani, Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Kallel, Amjad, editor, Barbieri, Maurizio, editor, Rodrigo-Comino, Jesús, editor, Chaminé, Helder I., editor, Merkel, Broder, editor, Chenchouni, Haroun, editor, Knight, Jasper, editor, Panda, Sandeep, editor, Khélifi, Nabil, editor, Benim, Ali Cemal, editor, Grab, Stefan, editor, El-Askary, Hesham, editor, Banerjee, Santanu, editor, Hadji, Riheb, editor, and Eshagh, Mehdi, editor

Published
2023
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46. Snow hydrology in the Moroccan Atlas Mountains

Author

Hanich, Lahoucine, Chehbouni, Abdelghani, Gascoin, Simon, Boudhar, Abdelghani, Jarlan, Lionel, Tramblay, Yves, Boulet, Gilles, Marchane, Ahmed, Baba, Mohamed Wassim, Kinnard, Christophe, Simonneaux, Vincent, Fakir, Younes, Bouchaou, Lhoussaine, Leblanc, Marc, Le Page, Michel, Bouamri, Hafsa, Er-Raki, Salah, and Khabba, Saïd

Published
2022
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48. Analysis of the Propagation Characteristics of Meteorological Drought to Hydrological Drought and Their Joint Effects on Low-Flow Drought Variability in the Oum Er Rbia Watershed, Morocco.

Author

Houmma, Ismaguil Hanadé, Hadri, Abdessamad, Boudhar, Abdelghani, Karaoui, Ismail, Oussaoui, Sabir, El Khalki, El Mahdi, Chehbouni, Abdelghani, and Kinnard, Christophe

Subjects
SNOW cover, RANDOM forest algorithms, WATER supply, STATISTICAL models, SEASONS
Abstract

Analysis of the temporal relationship between meteorological drought and hydrological drought is crucial in monitoring water resource availability. This study examined the linear and lagged relationships of the spread of meteorological drought to hydrological drought and their joint effects on low-flow drought variability in the Oum Er-Rbia (OER) watershed. To this end, random forest (RF) model and statistical methods were used to study the characteristics of the temporal relationships between meteorological and hydrological drought indices at monthly, seasonal, and annual scales. The various analyses revealed that the relationship between hydrological and meteorological drought is mainly a function of the time scale considered, the choice of indices to describe each type of drought and the season considered. The hydrological drought of surface water and snow cover is synchronized with the meteorological drought at the monthly, seasonal, and annual scales. In contrast, the transition from meteorological drought to groundwater drought has a lag time of 1 month and is statistically significant up to t − 5 and t + 5, i.e., 6 months. The linear correlation between the annual rainfall deficit and the monthly groundwater storage index was the lowest (0.15) in December and the highest (0.83) in March. This suggests a seasonal response of groundwater drought to the cumulative effects of precipitation deficits. The RF analysis highlighted the importance of the cumulative characteristics of meteorological drought regarding the severity of low-flow drought. The meteorological drought indices at longer time scales have a greater impact on the severity of low-flow drought, with a contribution of approximately 10% per index. However, the relative contributions of meteorological factors and hydrological indices rarely exceed 5%. Thus, by exploring for the first time the complex interactions among the severity of low-flow regimes, meteorological and hydrological drought indices and meteorological factors, this study provides a new perspective for understanding the characteristics of propagation from meteorological to severe hydrological drought. [ABSTRACT FROM AUTHOR]

Published
2025
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49. Using AquaCrop for Irrigation and water productivity assessment of Table grapes in arid region of Mexico

Author

Er-Raki Salah, Bouras Elhoussaine, Rodriguez Julio Cesar, CruzBautista Fidencio, Watts Chriss, Lizarraga-Celaya Carlos, and Chehbouni Abdelghani

Subjects
Environmental sciences, GE1-350
Abstract

The aim of this work is to use the AquaCrop model for irrigation and water productivity assessment of Table grapes in arid region of Mexico during 2005 and 2006 cropping seasons. The irrigation efficiency was investigated by comparing the irrigation scheduling design used by the farmer to the AquaCrop model recommendations. Data analysis showed that the farmer irrigates almost every day, which results in the water content in the root zone always exceeding the soil moisture at field capacity (FC). This generates substantial losses of water through deep percolation. By using the AquaCrop model, the optimization of irrigation water scheduling in order to avoid both water stress and deep percolation was about 547 mm and 510 mm, which it is about half of what was applied by the farmer (1006 mm and 930 mm) during 2005 and 2006, respectively. This large difference, lost through deep percolation, reduces the water productivity (WP) by about 45%.

Published
2024
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50. Machine Learning and Deep Learning Guided Assessment of Groundwater Reservoir Hydrodynamic Parameters: A Case Study of The El Haouz Aquifer

Author

El Mezouary Lhoussaine, Hadri Abdessamad, Kharrou Mohamed Hakim, Fakir Younes, Elfarchouni Abderrahman, Bouchaou Lhoussaine, and Chehbouni Abdelghani

Subjects
Environmental sciences, GE1-350
Abstract

The Plio-Quaternary aquifer in the EL-Haouz-Mejjate region of Morocco is critical for water supply, necessitating accurate characterization for sustainable management. This study pioneers machine learning (ML) and deep learning (DL) techniques to elucidate the aquifer’s properties. Supervised algorithms, including random forest, regression, support vector machines, Gaussian process regression and neural networks, are trained on available hydrogeological data. Diverse features capture complex input-output relationships to predict key hydrodynamic factors like hydraulic conductivity and transmissivity fields. Aquifer architecture attributes, including substratum depth, thickness, and height, are also estimated. Model outputs are validated with field measurements, demonstrating promising accuracy. Enhanced hydrodynamic insights improve the conceptual model and groundwater flow modeling confidence. Uncertainties are reduced through this data-driven approach, enabling optimized aquifer management. Overall, this work shows how useful it is to combine ML and DL with traditional hydrogeology in order to get a better understanding of complicated aquifer systems. The techniques pioneered provide a pathway for sustainable management of this vital water resource.

Published
2024
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