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Environmental monitoring using artificial intelligence /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Environmental monitoring using artificial intelligence /edited by A. Suresh, T. Devi, N. Deepa, Ali Kashif Bashir.
other author:	Suresh, A.,
Description:	432 pages :illustrations ;24 cm.
Subject:	Environmental monitoringData processing.
ISBN:	9781394270361

Environmental monitoring using artificial intelligence /
Environmental monitoring using artificial intelligence /edited by A. Suresh, T. Devi, N. Deepa, Ali Kashif Bashir. - 432 pages :illustrations ;24 cm.

Transformative Trends in AI for Environmental Monitoring: Challenges, Applications / Leena Sri R., Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Karthikeyan Thangavel -- Fundamentals of AI and NLP in Environmental Analysis / Sreedevi Chikkudu and Suresh Annamalai -- Smart Environmental Monitoring Systems: IoT and Sensor-Based Advancements / D. Roja Ramani, B. Ben Sujitha and Shrikant Tangade -- Remote Monitoring Advancements: A New Approach to Biodiversity Conservation / D. Roja Ramani, K. Kalaiarasan and Shrikant Tangade -- Smart Water Solutions: A Case Study on Drone-Led Hydrological Investigation of Water Diversion from Lakshmiyapuram Catchment to Sivakasi Periyakulam Tank / I. Baskar, A. Haamidh, S. Suriya and K. Parameswari -- Sustainable Waste Management as a Key Feature for Smart City: A Case Study of Vadodara, Gujarat, India / Sahil Menghani, Hardik Giri Gosai, Parashuram Kallem, Payal Desai and Uma Hapani -- Sensor Technologies for Environmental Data Collection / Adimulam Raghuvira Pratap and Suresh Annamalai -- Significance and Advancement of Sensor Technologies for Environmental Analysis / S. Thanga Revathi, Mary Subaja Christo, A. Sathya and Suresh Annamalai -- Texture-Based Classification of Organic and Pesticidal Spinach Using Machine Learning / P. Prittopaul, M. Usha, Mervin Retnadhas Mary, Ganesha Ram G., Ashween Raj V. S. and Godwin Wilfred Raj A. -- Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis / D. Roja Ramani, Naveen Chandra Gowda, S. Sreejith and Shrikant Tangade -- A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection / Jenefa J., Divya Vetriveeran, Rakoth Kandan Sambandam, Vinodha D., S. Thaiyalnayaki and P. Karthikeyan -- Comparison of Borewell Rescue L-Type Different Arm with Different Materials / K.P. Sridhar, Arun M., C. Prajitha, S. Deepa, Abubeker K.M. and Rajalakshmi Selvaraj -- Optimizing Almond and Walnut Farming: A U-Net-Powered Deep Learning Approach for Energy Efficiency Prediction and Damage Assessment / D. Roja Ramani, N. Deepa, Naveen Chandra Gowda and Naandhini Sidnal -- Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis / Naveen Chandra Gowda, Veena H. N., Aghila Rajagopal and Shrikant Tangade -- Voltage Veggies: A Shocking Revolution in Agriculture / P. Prittopaul, M. Usha, Mervin Retnadhas Mary, Rageshwaran H.R., Praveen Kumar D., Praveen Kumar S. and Mugunthan Kennedy K. -- Emperor Penguin Optimized Loop Selection Process for Routerless NoC Design / N.L. Venkataraman, S. Sumithra, S. Suresh Kumarm, K. Kokulavani and Gunasekaran Thangevel -- Case Study on Flyover Construction and the Air Quality Measurement by the Emission Level of Pollutants / K.P. Sridhar, C. Prajitha, S. Deepa, Rinesh.S, Arun.M and Srinath Doss.

"Environmental Monitoring Using Artificial Intelligence 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. Environmental Monitoring Using Artificial Intelligence 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. From 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, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future."--Publisher's description.

ISBN: 9781394270361

Standard No.: CIPO000205854

Nat. Bib. No.: GBC531582bnb

Nat. Bib. Agency Control No.: 300534050UkSubjects--Topical Terms:

515799
Environmental monitoring
--Data processing.

LC Class. No.: QH541.15.M64 / E55 2025

Dewey Class. No.: 363.7063028563

Environmental monitoring using artificial intelligence /
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505 0 $a Transformative Trends in AI for Environmental Monitoring: Challenges, Applications / Leena Sri R., Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Karthikeyan Thangavel -- Fundamentals of AI and NLP in Environmental Analysis / Sreedevi Chikkudu and Suresh Annamalai -- Smart Environmental Monitoring Systems: IoT and Sensor-Based Advancements / D. Roja Ramani, B. Ben Sujitha and Shrikant Tangade -- Remote Monitoring Advancements: A New Approach to Biodiversity Conservation / D. Roja Ramani, K. Kalaiarasan and Shrikant Tangade -- Smart Water Solutions: A Case Study on Drone-Led Hydrological Investigation of Water Diversion from Lakshmiyapuram Catchment to Sivakasi Periyakulam Tank / I. Baskar, A. Haamidh, S. Suriya and K. Parameswari -- Sustainable Waste Management as a Key Feature for Smart City: A Case Study of Vadodara, Gujarat, India / Sahil Menghani, Hardik Giri Gosai, Parashuram Kallem, Payal Desai and Uma Hapani -- Sensor Technologies for Environmental Data Collection / Adimulam Raghuvira Pratap and Suresh Annamalai -- Significance and Advancement of Sensor Technologies for Environmental Analysis / S. Thanga Revathi, Mary Subaja Christo, A. Sathya and Suresh Annamalai -- Texture-Based Classification of Organic and Pesticidal Spinach Using Machine Learning / P. Prittopaul, M. Usha, Mervin Retnadhas Mary, Ganesha Ram G., Ashween Raj V. S. and Godwin Wilfred Raj A. -- Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis / D. Roja Ramani, Naveen Chandra Gowda, S. Sreejith and Shrikant Tangade -- A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection / Jenefa J., Divya Vetriveeran, Rakoth Kandan Sambandam, Vinodha D., S. Thaiyalnayaki and P. Karthikeyan -- Comparison of Borewell Rescue L-Type Different Arm with Different Materials / K.P. Sridhar, Arun M., C. Prajitha, S. Deepa, Abubeker K.M. and Rajalakshmi Selvaraj -- Optimizing Almond and Walnut Farming: A U-Net-Powered Deep Learning Approach for Energy Efficiency Prediction and Damage Assessment / D. Roja Ramani, N. Deepa, Naveen Chandra Gowda and Naandhini Sidnal -- Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis / Naveen Chandra Gowda, Veena H. N., Aghila Rajagopal and Shrikant Tangade -- Voltage Veggies: A Shocking Revolution in Agriculture / P. Prittopaul, M. Usha, Mervin Retnadhas Mary, Rageshwaran H.R., Praveen Kumar D., Praveen Kumar S. and Mugunthan Kennedy K. -- Emperor Penguin Optimized Loop Selection Process for Routerless NoC Design / N.L. Venkataraman, S. Sumithra, S. Suresh Kumarm, K. Kokulavani and Gunasekaran Thangevel -- Case Study on Flyover Construction and the Air Quality Measurement by the Emission Level of Pollutants / K.P. Sridhar, C. Prajitha, S. Deepa, Rinesh.S, Arun.M and Srinath Doss.
520 $a "Environmental Monitoring Using Artificial Intelligence 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. Environmental Monitoring Using Artificial Intelligence 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. From 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, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future."--Publisher's description.
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