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Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence (Studies in Big Data, 143)

✍ Scribed by Jamal Mabrouki (editor), Mourade Azrour (editor)


Publisher
Springer
Year
2024
Tongue
English
Leaves
343
Edition
1st ed. 2024
Category
Library

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✩ Synopsis


Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities―anywhere on the globe―can record temperature, relative humidity, water content, leaks, and any other physical parameters.



✩ Table of Contents


Contents
Contributors
Combining Artificial Intelligence and Systems Thinking Tools to Predict Climate Change
1 Introduction
2 Artificial Intelligence
2.1 Types of Artificial Neural Networks
2.2 Artificial Neural Networks Advantages and Disadvantages
3 System Thinking
3.1 Holistic Thinking
3.2 Non-Linearity
3.3 Feedback Loops
4 Main Findings and Discussion
5 Closure
References
A Mini-Review on Natural and Modified Clays for Removal of Organic and Inorganic Pollutants From Wastewater and Their Other Applications
1 Introduction
2 Application of Natural and Modified Clay for the Removal of Hazardous Materials
2.1 Natural Clay
2.2 Modified Clays
3 Comparison Studies for Removal of Inorganic and Organic Pollutants
4 Cost of Natural and Modified Clay as Adsorbent
5 Other Applications
6 Conclusion and Future Perspectives
References
How Can the Internet of Things (IoT) Be Used to Improve Port Performance—Moroccan Ports Case Study
1 Introduction
2 Theoretical Framework
2.1 Literature Review
2.2 The Characteristics of Smart Port
2.3 Internet of Things IoT’s Transformative Integration in Optimizing Smart Port Operations
3 Methodology
3.1 Sample
3.2 Processing
4 Results
4.1 Role and Benefits from IoT in Port Performance
4.2 The SWOT Analysis
4.3 The Challenges in Implementing IoT in Moroccan Ports
4.4 Smart Ports and Emerging Trends in IoT Technology
5 Conclusion
References
Contribution to the Bryoflora of Morocco: Toubkal National Park (TNP) Rhérhaya Valley
1 Introduction
2 Material and Methods
2.1 Site of the Study
2.2 Methodology
3 Results and Discussion
4 Conclusion
Bibliographic References
Innovation and the Sustainable Development in the Arganeraie Biosphere Reserve (ABR)
1 Introduction
1.1 Study Area
1.2 Methodology
2 Literature Review
2.1 Historical Overview of Sustainable Development
2.2 Understanding the Changing Faces of the Concept of Innovation
3 Results and Discussion
3.1 The Challenges of the Arganeraie Biosphere Reserve (ABR)
3.2 Putting Environmental Innovation to Work for Sustainable Development in the Arganeraie Biosphere Reserve
3.3 Driving Sustainable Development through Innovation: The Arganeraie Biosphere Reserve's Strategic Approach
3.4 Innovation and Sustainability in the Arganeraie Biosphere Reserve
3.5 Future Prospects for the Innovation and Sustainability in the Arganeraie Biosphere Reserve
4 Conclusion
References
AI and Smart Technologies for Smart Agriculture Environment
1 Introduction
2 Types of Precision Agriculture
3 Precision Agriculture’s Role in the New Era of the Farm Land Sector.
3.1 Advantages of Precision Farming
3.2 Disadvantages of Precision Farming
3.3 How Could India Benefit from Precision Farming?
4 Challenges in Adopting Precision Farming in India
4.1 The War Forward
5 How Precision Agriculture in India is Adopted
6 Conclusion
References
Diversity of Endomycorrhizal Fungi in the Rhizosphere of Fig Trees in the Region of Ifrane (Middle Atlas Region of Northern Morocco)
1 Introduction
2 Materials and Methods
2.1 Soil Sample
2.2 Spores Extraction
2.3 Identification of Spores
2.4 Statistical Analyzes
3 Results and Discussion
4 Conclusion
References
Efficacy of the Combined Application of Based Trichoderma Asperellum Products and Tolclofos-Methyl to Control Rhizoctonia Solani Black Crown Rot in Strawberry
1 Graphical Abstract
2 Introduction
3 Material and Methods
3.1 Substrate Preparation
3.2 Plant Material
3.3 Preparation of Bioproducts Based on Trichoderma Asperellum
3.4 Soil Inoculation and Treatment
4 Scoring Results
4.1 Notes of Crown Rot and Root Development
4.2 Reisolation from Soil Planting
4.3 Reisolation from Strawberry Plants
4.4 Agronomic Parameter Assessment
4.5 Statistical Analysis
5 Results
6 Discussion
References
Variability of Parasitic Specificity in Curvularia Spicifera
1 Introduction
2 Material and Methods
2.1 Fungal Isolate Origin
2.2 Plant Material
2.3 Scoring of Results
2.4 Statistical Analysis
2.5 Results
3 Discussion and Conclusion
References
Evaluation of Genetic Intra-Variability and Clonal Selection Within the Main Population Variety (Moroccan Picholine cv) of the Olive Tree (Olea Europaea L.) Grown in Northern Morocco (Ouezzane Region) Using Morphological Descriptors
1 Introduction
2 Material and Methods 
2.1 Plant Materials
2.2 Studied Characters
2.3 Statistical Analysis
3 Results and Discussion
3.1 Qualitative Characters
3.2 Quantitative Characters
4 Conclusion
References
Application of Endomycorrhizae, Phospho Composts and Phospho Laundry Sludges as Safe Fertilizers for Improving Plant Growth “Bean Plants”
1 Introduction
2 Materials and Methods
2.1 Plant Material
2.2 Mycorrhizal Inoculum
2.3 Growing Medium
2.4 Bean Seedling Inoculation Technique
2.5 Experimental Apparatus
2.6 Extraction and Identification of Spores Recovered from Potted Growing Substrates
2.7 Root Coloring
2.8 Agronomic Parameters
2.9 Evaluation of Mycorhization Rates
2.10 Statistical Analysis
3 Results
3.1 Plant Growth Parameters
3.2 Pod’s Length and Weight
4 Discussion
5 Conclusion
References
Applied Sciences Green Microalgae for Future Biomass Development
1 Introduction
2 The Potential of Microalgae as a Raw Material for Biofuel Production
3 Efficiency of Biofuel Production Using Microalgae
4 Microalgae for Environmental Protection
4.1 Wastewater Treatment
4.2 Carbon Sequestration
4.3 Ecological Remediation
5 Conclusion
References
In Vitro and In Vivo Biological Control by Trichoderma Asperellum Against Rhizoctonia Solani a Causal Agent of Collar and Root Rot in Strawberries
1 Introduction
2 Materials and Methods
2.1 In Vitro Antagonistic Activity of Trichoderma Asperellum Against Rhizoctonia Solani
2.2 Indirect Confrontation (Volatile Substance Test)
2.3 Indirect Confrontation (Diffusible Substance Test)
2.4 In Vivo Biological Control of Strawberry Crown Rot Using Trichoderma Asperellum
2.5 Rating of Results
2.6 Re-Isolation
2.7 Agronomic Parameter Assessment
2.8 Statistical Analysis
3 Results
3.1 In-Vitro Tests
3.2 In Vivo Tests
4 Discussion
5 Conclusion
References
GIS and Remote Sensing-Based Malaria Risk Modeling and Mapping: A Case Study of Dibrugarh District, Assam, India
1 Introduction
2 Materials and Methods
2.1 Description of the Study Area
2.2 Data Source
2.3 Malaria Conditioning Factors
2.4 The AHP
3 Results and Discussion
4 Conclusion
References
Defluoridation of Youssoufia-Morocco-Mine Fluoride-Contaminated Water by Adsorption on the Fly Ash in Static and Dynamic Reactor
1 Introduction
2 Introduction
2.1 Water Characterization
2.2 Chemical Analysis of Fly Ash
2.3 Adsorption of Fluoride Ions, Mine Water, Batch and Dynamic
3 Results and Discussion
3.1 Characterization of Youssoufia Mine Water
3.2 Chemical Composition of Ash
3.3 Defluoridation of Mine Water
4 Conclusion
References
Study of the Impact of Irrigation with Wastewater Through the Evaluation of Intestinal Parasite Load in the Case of Ouad Rha in Ouazzane, a Northern Moroccan City
1 Introduction
2 Materials and Methods
2.1 Wastewater Sampling
2.2 Preparation and Microscopic Observation
2.3 Enumeration
3 Results and Discussion
3.1 Quantitative Characterization of Parasite Load in Wastewater
3.2 The Cultivated Plants Along the Banks of the Oued Rha and Their Edible Parts
3.3 The Parasitic Load of the Edible Parts of Vegetable Crops Irrigated with Wastewater
4 Conclusion
References
Social Recommender Systems in E-Learning Environments: A Literature Review
1 Introduction
2 Fundamental Recommendation Systems Approaches
2.1 Content-Based Recommender Systems (CB)
2.2 The Collaborative Filtering Recommender Systems (CF)
2.3 Knowledge Recommender Systems (KB)
2.4 The Hybrid Recommender Systems (HRS)
2.5 Social Recommender Systems
3 E-learning Recommender Systems
3.1 Learning Analytics
3.2 Data Mining
3.3 Big Data
4 Bibliometric Analysis of E-Learning Recommender Systems
4.1 Data Set
4.2 Publications Per Year
4.3 Types of Publication
4.4 Research Area
5 Conclusion
References
Bacteriological characterization of dehydrated sludge from the wastewater treatment plant of the city of Kenitra and their impact on the environment
1 Introduction
2 Materials and Methods
2.1 Description of the Kenitra Wastewater Treatment Plant in Morocco
2.2 Location of the Kenitra Wastewater Treatment Plant in Morocco
2.3 Sampling Dewatered Sludge from Wastewater Treatment Plants, in Accordance with NM ISO 5667–13 (2009)
2.4 Analytical Methods for Bacteriological Parameters in Dewatered Sludge from the Wastewater Treatment Plant
3 Results and Discussion
3.1 Results of Bacteriological Analyses of Dewatered Sludge from the Kenitra City Wastewater Treatment Plant for 1 Year of the Year 2022–2023
4 Conclusion
References
Analytic Performance Between 4 and 5G Networks Using Big Data
1 Introduction
2 Problematic
3 The State-of-Art
4 The Theoretical Phase
4.1 Technologies from 4 to 6G
5 How 5G and Big Data Work for IoT
6 Dataset Description 5G Dataset with Channel and Context Metrics
6.1 Dataset Overview
6.2 Attributes Description
7 The Practical Phase
7.1 Method
7.2 Results
7.3 Streaming in Static Mode
7.4 Streaming in Driving Mode
7.5 Downloading in Driving Mode
7.6 Downloading in Static Mode
8 Use Case of 6G Prediction
9 Conclusion
References
Study of the Physicochemical Properties of Lavender Essential Oil (Lavandula Stoechas)
1 Introduction
2 Materials and Methods
2.1 Medicinal and Aromatic Plants
2.2 Botanical Description of Lavandula Stoechas
2.3 Essential Oils
2.4 Physical and Chemical Properties
2.5 Essential Oil Extraction Processes
2.6 Plant Collection and Identification
2.7 Oil Production Yield
2.8 Physico-Chemical Tests
3 Results and Discussion
3.1 Acid Index
3.2 Refractive Index
3.3 Relative Density
3.4 Ph Measurement
3.5 EO Yield
4 Conclusion
References


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