{"product_id":"environmental-monitoring-using-artificial-intelligence-hardback-9781394270361","title":"Environmental Monitoring Using Artificial Intelligence (Hardback) 9781394270361","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEnvironmental Monitoring Using Artificial Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eA. Suresh (Edited by), Suresh (Author), T. Devi (Edited by), N. Deepa (Edited by), Ali Kashif Bashir (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394270361, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 21 March 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e432 pages\u003cbr\u003e22.9 x 15.2 x 2.6 cm, 0.794 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eEnvironmental Monitoring Using Artificial Intelligence\u003c\/b\u003e\u003c\/i\u003e is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future.\u003ci\u003e\u003c\/i\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eEnvironmental Monitoring Using Artificial Intelligence\u003c\/i\u003e provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability. \u003c\/p\u003e\n\u003cp\u003eFrom advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you’re exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, \u003ci\u003eEnvironmental Monitoring Using Artificial Intelligence\u003c\/i\u003e equips readers with the knowledge and tools to leverage technology for a sustainable future.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Transformative Trends in AI for Environmental Monitoring: Challenges, Applications 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eLeena Sri R., Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Karthikeyan Thangavel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Literature Verticals 3\u003c\/p\u003e \u003cp\u003e1.3 Key Methodologies in Literature Review 5\u003c\/p\u003e \u003cp\u003e1.4 Most Common Methods in Environmental Monitoring 8\u003c\/p\u003e \u003cp\u003e1.5 AI Architectures for Environmental Monitoring 8\u003c\/p\u003e \u003cp\u003e1.6 Applications of AI in Environmental Monitoring 17\u003c\/p\u003e \u003cp\u003e1.7 Challenges and Limitations of Using AI in Environment Modeling 20\u003c\/p\u003e \u003cp\u003e1.8 Future Directions 22\u003c\/p\u003e \u003cp\u003e1.9 Conclusion 24\u003c\/p\u003e \u003cp\u003eAcknowledgements 25\u003c\/p\u003e \u003cp\u003eReferences 25\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Fundamentals of AI and NLP in Environmental Analysis 29\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSreedevi Chikkudu and Suresh Annamalai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 30\u003c\/p\u003e \u003cp\u003e2.2 AI and NLP Techniques 33\u003c\/p\u003e \u003cp\u003e2.3 AI Models and NLP System with Data Science Cycle 35\u003c\/p\u003e \u003cp\u003e2.4 Environmental Analysis Using AIoT and NLP 39\u003c\/p\u003e \u003cp\u003eBibliography 42\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Smart Environmental Monitoring Systems: IoT and Sensor-Based Advancements 45\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Roja Ramani, B. Ben Sujitha and Shrikant Tangade\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 46\u003c\/p\u003e \u003cp\u003e3.2 Essential Elements and Factors for Environmental Monitoring with IoT 49\u003c\/p\u003e \u003cp\u003e3.3 Diverse Avenues and Methodologies in IoT Environmental Applications 53\u003c\/p\u003e \u003cp\u003e3.4 Conclusion 58\u003c\/p\u003e \u003cp\u003eReferences 58\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Remote Monitoring Advancements: A New Approach to Biodiversity Conservation 61\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Roja Ramani, K. Kalaiarasan and Shrikant Tangade\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 62\u003c\/p\u003e \u003cp\u003e4.2 Indicators of Primary Biodiversity 63\u003c\/p\u003e \u003cp\u003e4.3 Exploring Biodiversity Conservation Strategies 64\u003c\/p\u003e \u003cp\u003e4.4 AI Enhancing Animal Observation Images 65\u003c\/p\u003e \u003cp\u003e4.5 AI and ML for Preserving Flora 65\u003c\/p\u003e \u003cp\u003e4.6 Deep Learning Tracks Terrestrial Mammals via Satellites 67\u003c\/p\u003e \u003cp\u003e4.7 Conclusion 69\u003c\/p\u003e \u003cp\u003eReferences 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Smart Water Solutions: A Case Study on Drone-Led Hydrological Investigation of Water Diversion from Lakshmiyapuram Catchment to Sivakasi Periyakulam Tank 71\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eI. Baskar, A. Haamidh, S. Suriya and K. Parameswari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 72\u003c\/p\u003e \u003cp\u003e5.2 Software Used 75\u003c\/p\u003e \u003cp\u003e5.3 Methodology 78\u003c\/p\u003e \u003cp\u003e5.4 Conclusion and Recommendation 99\u003c\/p\u003e \u003cp\u003eAcknowledgement 100\u003c\/p\u003e \u003cp\u003eReferences 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Sustainable Waste Management as a Key Feature for Smart City: A Case Study of Vadodara, Gujarat, India 103\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSahil Menghani, Hardik Giri Gosai, Parashuram Kallem, Payal Desai and Uma Hapani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 104\u003c\/p\u003e \u003cp\u003e6.2 Material and Methodology 112\u003c\/p\u003e \u003cp\u003e6.3 Result and Discussion 120\u003c\/p\u003e \u003cp\u003e6.4 Limitation of Study 127\u003c\/p\u003e \u003cp\u003e6.5 Conclusion and Future Prospects 128\u003c\/p\u003e \u003cp\u003eReferences 128\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Sensor Technologies for Environmental Data Collection 133\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAdimulam Raghuvira Pratap and Suresh Annamalai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 134\u003c\/p\u003e \u003cp\u003e7.2 Sensor Technologies 134\u003c\/p\u003e \u003cp\u003e7.3 Background of Sensing 135\u003c\/p\u003e \u003cp\u003e7.4 Types of Sensors 136\u003c\/p\u003e \u003cp\u003e7.5 Applications of Sensors 145\u003c\/p\u003e \u003cp\u003e7.6 Challenges of Sensors 148\u003c\/p\u003e \u003cp\u003e7.7 Environmental Sensors 149\u003c\/p\u003e \u003cp\u003e7.8 Summary and Recommendations 163\u003c\/p\u003e \u003cp\u003eBibliography 164\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Significance and Advancement of Sensor Technologies for Environmental Analysis 167\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eS. Thanga Revathi, Mary Subaja Christo, A. Sathya and Suresh Annamalai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 168\u003c\/p\u003e \u003cp\u003e8.2 Sensing and Sensor Fundamentals 169\u003c\/p\u003e \u003cp\u003e8.3 Key Sensor Technology Components 174\u003c\/p\u003e \u003cp\u003e8.4 Regulations and Standards - Sensor Technologies 178\u003c\/p\u003e \u003cp\u003e8.5 Conclusion 179\u003c\/p\u003e \u003cp\u003eBibliography 179\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Texture-Based Classification of Organic and Pesticidal Spinach Using Machine Learning 181\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eP. Prittopaul, M. Usha, Mervin Retnadhas Mary, Ganesha Ram G., Ashween Raj V. S. and Godwin Wilfred Raj A.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 182\u003c\/p\u003e \u003cp\u003e9.2 Related Works 183\u003c\/p\u003e \u003cp\u003e9.3 Proposed Work 186\u003c\/p\u003e \u003cp\u003e9.4 Implementation and Results 193\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 197\u003c\/p\u003e \u003cp\u003eReferences 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis 201\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Roja Ramani, Naveen Chandra Gowda, S. Sreejith and Shrikant Tangade\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 202\u003c\/p\u003e \u003cp\u003e10.2 Literature Survey 206\u003c\/p\u003e \u003cp\u003e10.3 Methodology 209\u003c\/p\u003e \u003cp\u003e10.4 Results and Discussion 215\u003c\/p\u003e \u003cp\u003e10.5 Conclusion 218\u003c\/p\u003e \u003cp\u003e10.6 Future Directions 219\u003c\/p\u003e \u003cp\u003eReferences 220\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection 225\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJenefa J., Divya Vetriveeran, Rakoth Kandan Sambandam, Vinodha D., S. Thaiyalnayaki and P. Karthikeyan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 226\u003c\/p\u003e \u003cp\u003e11.2 Related Works 227\u003c\/p\u003e \u003cp\u003e11.3 AlexNet 234\u003c\/p\u003e \u003cp\u003e11.4 ResNet 237\u003c\/p\u003e \u003cp\u003e11.5 Proposed Work 240\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 247\u003c\/p\u003e \u003cp\u003eAcknowledgments 247\u003c\/p\u003e \u003cp\u003eReferences 247\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Comparison of Borewell Rescue L-Type Different Arm with Different Materials 251\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK.P. Sridhar, Arun M., C. Prajitha, S. Deepa, Abubeker K.M. and Rajalakshmi Selvaraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 252\u003c\/p\u003e \u003cp\u003e12.2 Related Works 253\u003c\/p\u003e \u003cp\u003e12.3 Proposed Method 255\u003c\/p\u003e \u003cp\u003e12.4 Cylinder 255\u003c\/p\u003e \u003cp\u003e12.5 Ellipse 259\u003c\/p\u003e \u003cp\u003e12.6 I-Beam 262\u003c\/p\u003e \u003cp\u003e12.7 L-Angle 265\u003c\/p\u003e \u003cp\u003e12.8 Mathematical Analysis 269\u003c\/p\u003e \u003cp\u003e12.9 Results and Discussion 271\u003c\/p\u003e \u003cp\u003e12.10 Conclusion 275\u003c\/p\u003e \u003cp\u003eReferences 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Optimizing Almond and Walnut Farming: A U-Net-Powered Deep Learning Approach for Energy Efficiency Prediction and Damage Assessment 279\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eD. Roja Ramani, N. Deepa, Naveen Chandra Gowda and Naandhini Sidnal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 280\u003c\/p\u003e \u003cp\u003e13.2 Literature Survey 284\u003c\/p\u003e \u003cp\u003e13.3 Methodology 290\u003c\/p\u003e \u003cp\u003e13.4 Results and Discussion 294\u003c\/p\u003e \u003cp\u003e13.5 Conclusion 298\u003c\/p\u003e \u003cp\u003eReferences 299\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis 303\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNaveen Chandra Gowda, Veena H. N., Aghila Rajagopal and Shrikant Tangade\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 304\u003c\/p\u003e \u003cp\u003e14.2 Review of Relevant Literature 307\u003c\/p\u003e \u003cp\u003e14.3 Methodological Framework 310\u003c\/p\u003e \u003cp\u003e14.4 Outcomes and Discourse 316\u003c\/p\u003e \u003cp\u003e14.5 Conclusion 321\u003c\/p\u003e \u003cp\u003eReferences 321\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Voltage Veggies: A Shocking Revolution in Agriculture 325\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eP. Prittopaul, M. Usha, Mervin Retnadhas Mary, Rageshwaran H.R., Praveen Kumar D., Praveen Kumar S. and Mugunthan Kennedy K.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 326\u003c\/p\u003e \u003cp\u003e15.2 Proposed Methodology 330\u003c\/p\u003e \u003cp\u003e15.3 Experimental Approach 343\u003c\/p\u003e \u003cp\u003e15.4 Conclusion and Future Research Directions 348\u003c\/p\u003e \u003cp\u003e15.5 Conclusion 350\u003c\/p\u003e \u003cp\u003eReferences 350\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Emperor Penguin Optimized Loop Selection Process for Routerless NoC Design 353\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eN.L. Venkataraman, S. Sumithra, S. Suresh Kumarm, K. Kokulavani and Gunasekaran Thangevel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 354\u003c\/p\u003e \u003cp\u003e16.2 Related Works 355\u003c\/p\u003e \u003cp\u003e16.3 Design of Routerless NoC 356\u003c\/p\u003e \u003cp\u003e16.4 Emperor Penguin Optimized (EPO) Loop Selection 358\u003c\/p\u003e \u003cp\u003e16.5 Result and Discussion 364\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 371\u003c\/p\u003e \u003cp\u003eReferences 372\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Case Study on Flyover Construction and the Air Quality Measurement by the Emission Level of Pollutants 375\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eK.P. Sridhar, C. Prajitha, S. Deepa, Rinesh.S, Arun.M and Srinath Doss\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 376\u003c\/p\u003e \u003cp\u003e17.2 Related Study 377\u003c\/p\u003e \u003cp\u003e17.3 Case Study on Flyover Construction and the Air Quality Measurement 378\u003c\/p\u003e \u003cp\u003e17.4 Conclusion 384\u003c\/p\u003e \u003cp\u003eReferences 385\u003c\/p\u003e \u003cp\u003eAbout the Editors 389\u003c\/p\u003e \u003cp\u003eIndex 391\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: The environment [\u003ca title=\"See our other books on The environment\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22The%20environment%20%5BRN%5D%22\"\u003eRN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433242652952,"sku":"9781394270361","price":139.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394270361.jpg?v=1784852900","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/environmental-monitoring-using-artificial-intelligence-hardback-9781394270361","provider":"Freshly Printed Books","version":"1.0","type":"link"}