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Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence / edited by Jamal Mabrouki, Mourade Azrour.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Mabrouki, Jamal.
- Series:
- Studies in Big Data, 2197-6511 ; 143
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Environmental management.
- Big data.
- Computational intelligence.
- Data Engineering.
- Environmental Management.
- Big Data.
- Computational Intelligence.
- Local Subjects:
- Data Engineering.
- Environmental Management.
- Big Data.
- Computational Intelligence.
- Physical Description:
- 1 online resource (343 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- Intro
- 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
- 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
- How Can the Internet of Things (IoT) Be Used to Improve Port Performance-Moroccan Ports Case Study
- 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
- Contribution to the Bryoflora of Morocco: Toubkal National Park (TNP) Rhérhaya Valley
- 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
- 3.1 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
- AI and Smart Technologies for Smart Agriculture Environment
- 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
- Diversity of Endomycorrhizal Fungi in the Rhizosphere of Fig Trees in the Region of Ifrane (Middle Atlas Region of Northern Morocco)
- 2 Materials and Methods
- 2.1 Soil Sample
- 2.2 Spores Extraction
- 2.3 Identification of Spores
- 2.4 Statistical Analyzes
- 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
- Variability of Parasitic Specificity in Curvularia Spicifera
- 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
- 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
- 2.1 Plant Materials
- 2.2 Studied Characters
- 2.3 Statistical Analysis
- 3.1 Qualitative Characters
- 3.2 Quantitative Characters
- Application of Endomycorrhizae, Phospho Composts and Phospho Laundry Sludges as Safe Fertilizers for Improving Plant Growth "Bean Plants"
- 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
- Applied Sciences Green Microalgae for Future Biomass Development
- 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
- In Vitro and In Vivo Biological Control by Trichoderma Asperellum Against Rhizoctonia Solani a Causal Agent of Collar and Root Rot in Strawberries
- 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
- 3.1 In-Vitro Tests
- 3.2 In Vivo Tests
- GIS and Remote Sensing-Based Malaria Risk Modeling and Mapping: A Case Study of Dibrugarh District, Assam, India
- 2.1 Description of the Study Area
- 2.2 Data Source
- 2.3 Malaria Conditioning Factors
- 2.4 The AHP
- Defluoridation of Youssoufia-Morocco-Mine Fluoride-Contaminated Water by Adsorption on the Fly Ash in Static and Dynamic Reactor
- 2.1 Water Characterization
- 2.2 Chemical Analysis of Fly Ash
- 2.3 Adsorption of Fluoride Ions, Mine Water, Batch and Dynamic
- 3.1 Characterization of Youssoufia Mine Water
- 3.2 Chemical Composition of Ash
- 3.3 Defluoridation of Mine Water
- 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
- 2.1 Wastewater Sampling
- 2.2 Preparation and Microscopic Observation
- 2.3 Enumeration
- 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
- Social Recommender Systems in E-Learning Environments: A Literature Review
- 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
- Bacteriological characterization of dehydrated sludge from the wastewater treatment plant of the city of Kenitra and their impact on the environment
- 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
- 3.1 Results of Bacteriological Analyses of Dewatered Sludge from the Kenitra City Wastewater Treatment Plant for 1 Year of the Year 2022-2023
- References.
- Analytic Performance Between 4 and 5G Networks Using Big Data.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031508608
- 3031508602
- OCLC:
- 1423131996
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