Tabla de Contenidos: “…11.5 Use of Waste Materials for the Development of Carbon Allotropes -- 11.5.1 Synthesis of CNTs Using Waste Materials -- 11.5.2 Synthesis of Graphene Using Waste Materials -- 11.6 Applications for Carbon-Based Materials -- 11.6.1 CNTs -- 11.6.2 Graphene -- 11.6.3 Activated Carbon -- 11.7 Conclusions -- References -- Chapter 12 Carbon Allotropes in a Sustainable Environment -- 12.1 Introduction -- 12.2 Functionalization of Carbon Allotropes -- 12.2.1 Covalent Functionalization -- 12.2.2 Noncovalent Functionalization -- 12.3 Developments of Carbon Allotropes and Their Applications -- 12.4 Carbon Allotropes in Sustainable Environment -- 12.5 Carbon Allotropes Purification Process in the Treatment of Wastewater -- 12.5.1 Fullerenes -- 12.5.2 Bucky Paper Membrane (BP) -- 12.5.3 Carbon Nanotubes (CNTs) -- 12.5.3.1 CNT Adsorption Mechanism -- 12.5.3.2 CNTs Ozone Method -- 12.5.3.3 CNTs-Fenton-Like Systems -- 12.5.3.4 CNTs-Persulfates Systems -- 12.5.3.5 CNTs-Ferrate/Permanganate Systems -- 12.5.4 Graphene -- 12.6 Removal of Various Pollutants -- 12.6.1 Arsenic -- 12.6.2 Drugs and Pharmaceuticals -- 12.6.3 Heavy Metals -- 12.6.4 Pesticides and Other Pest Controllers -- 12.6.5 Fluoride -- 12.7 Carbon Dioxide (CO2) Adsorption -- 12.8 Conclusion and Future Perspective -- References -- Chapter 13 Carbonaceous Catalysts for Pollutant Degradation -- 13.1 Introduction -- 13.2 Strategies to Develop Carbon-Based Material -- 13.3 Advantages of Carbon-Based Metal Nanocomposites -- 13.4 Methods for the Development of Carbon-Based Nanocomposites -- 13.5 Carbon-Based Photocatalyst -- 13.5.1 Fullerene (C60) -- 13.5.2 Carbon Nanotubes -- 13.5.3 Graphene -- 13.5.4 Graphitic Carbon Nitride (g-C3N4) -- 13.5.5 Diamond -- 13.6 Applications -- 13.6.1 Dye Degradation -- 13.6.2 Organic Transformation -- 13.6.3 NOx Removal -- 13.7 Factors Affecting Degradation -- 13.7.1 Radiation…”

Tabla de Contenidos: “…3.3.1 Multi-Agent System: Argumentation -- 3.3.2 Image Processor: Phenotyping -- 3.3.3 Saliency-Map: Visualization -- 3.4 Conclusion -- References -- Chapter 4 Web Service Composition Using an AI Planning Technique -- 4.1 Introduction -- 4.2 Background -- 4.2.1 Introduction to AI -- 4.2.2 AI Planning -- 4.2.3 AI Planning for Effective Composition of Web Services -- 4.3 Proposed Methodology for AI Planning-Based Composition of Web Services -- 4.3.1 Clustering Web Services -- 4.3.2 OWL-S: Semantic Markup for Web Services (For Composition Request) -- 4.3.3 PDDL: Planning Domain Description Language -- 4.3.4 AI Planner -- 4.3.5 Flowchart of Proposed Approach -- 4.4 Implementation Details -- 4.4.1 Domain Used -- 4.4.2 Case Studies on AI Planning -- 4.4.2.1 Experiments and Results on Case 1 and Case 2 -- 4.5 Conclusions and Future Directions -- References -- Chapter 5 Artificial Intelligence in Agricultural Engineering -- 5.1 Introduction -- 5.2 Artificial Intelligence in Agriculture -- 5.2.1 AI Startups in Agriculture -- 5.2.2 Challenges in AI Adoption -- 5.2.3 Stunning Discoveries of AI -- 5.2.3.1 Precision Technology to Sow Seeds -- 5.2.3.2 Robots for Harvesting -- 5.2.3.3 Field Inspection Using Drones -- 5.2.3.4 "See and Spray" Model for Pest and Weed Control -- 5.3 Scope of Artificial Intelligence in Agriculture -- 5.3.1 Reactive Machines -- 5.3.2 Limited Memory -- 5.3.3 Theory of Mind -- 5.3.4 Self-Awareness -- 5.4 Applications of Artificial Intelligence in Agriculture -- 5.4.1 Agricultural Robots -- 5.4.2 Soil Analysis and Monitoring -- 5.4.3 Predictive Analysis -- 5.4.4 Agricultural Industry -- 5.4.5 Blue River Technology - Weed Control -- 5.4.6 Crop Harvesting -- 5.4.7 Plantix App -- 5.4.8 Drones -- 5.4.9 Driverless Tractors -- 5.4.10 Precise Farming -- 5.4.11 Return on Investment (RoI) -- 5.5 Advantages of AI in Agriculture…”

“…The chapters present valuable information regarding wheat diseases, insect pests, and various environmental stresses…”

“…This book focuses on sustainable forest management with chapters on such topics as afforestation, thinning, pest control, and mitigation of climate change, among others…”