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Author

Hamza Jdi

Observed institution: Université Sultan Moulay Slimane
ORCID: 0000-0002-3609-7903
Observed ORCID: 0000-0002-3609-7903
OpenAlex ID: A5030470234
Digital Farming: A Survey on IoT-based Cattle Monitoring Systems and Dashboards
2023 · Khalid El Moutaouakil Moutaouakil, Hamza Jdi, et al. · Agris on-line Papers in Economics and Informatics · 15
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Weather Forecast Using Sliding Window Algorithm Based on Hadoop and MapReduce
2022 · Hamza Jdi, Noureddine Falih · Lecture notes in networks and systems · 6
Comparison of time series temperature prediction with auto-regressive integrated moving average and recurrent neural network
2024 · Hamza Jdi, Noureddine Falih · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · 4
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The vast relevance of applications of spatial regression models has recently captured the interest of Economics and Agriculture, in the sense of better understanding the spatial behavior of the region under study, in the different forms of approaches. It is interesting to understand why some regions show greater variability than others, and why some forms of regional development are better explained. It is up to the researcher to understand, explore, and organize a series of observations, so that it is possible to make predictions, diagnoses, and recommendations to public policy managers and regional development agents. The municipalities’ Gross Domestic Product (Gdp) has driven studies involving spatial information. The objective of this study was to analyze the Gdp of the municipalities in Paraná-Brazil, in 2018, regarding soybean yield, corn yield, pig production, and the tax on the circulation of goods, through different approaches of spatial regression models. SAR and CAR models are global models, while the GWR model is considered a local one. Three spatial analysis models were used to perform this study: Spatial Autoregressive (SAR), Conditional Autoregressive (CAR), and Geographically Weighted Regression (GWR). The results were compared using the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Cross-Validation Criterion (CVC), and the descriptive graphic of residual diagnoses-Worm Plot. The best result obtained was for the GWR model, which best explained the GDP of the state of Paraná-Brazil in terms of its covariates.
2023 · Khalid El Moutaouakil, Hamza Jdi, et al. · Agris on-line Papers in Economics and Informatics · 3
Leveraging transformer models for enhanced temperature forecasting: a comparative analysis in the Beni Mellal region
2024 · Hamza Jdi, Noureddine Falih · Indonesian Journal of Electrical Engineering and Computer Science · 2
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Precipitation forecasting using machine learning in the region of Beni Mellal-Khenifra
2023 · Hamza Jdi, Noureddine Falih · Indonesian Journal of Electrical Engineering and Computer Science · 2
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An IoT Ecosystem-Based Architecture of a Smart Livestock Farm
2023 · Khalid El Moutaouakil, Hamza Jdi, et al. · Lecture notes in networks and systems · 1
Optimizing irrigation for Dutch roses in Beni Mellal, Morocco: Predictive modeling based on reference evapotranspiration
2025 · Hamza Jdi, Noureddine Falih · Foods and raw materials
Hybrid Approaches for Irrigation Optimization Based on Weather Forecast: a Study on Reference Evapotranspiration Prediction in Beni Mellal
2024 · Hamza Jdi, Khalid El Moutaouakil, et al. · Agris on-line Papers in Economics and Informatics
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Temperature Forecast Using Machine Learning
2024 · Hamza Jdi, Khalid El Moutaouakil, et al. · Lecture notes in networks and systems
Long-Term Average Temperature Forecast Using Machine Learning and Deep Learning in the Region of Beni Mellal
2023 · Hamza Jdi, Noureddine Falih · Lecture notes in networks and systems
Works count: 11
Citation count: 33
H-index: 3
I10-index: 1
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