IoT and Advanced Intelligence Computation for Smart Agriculture

1. Auflage 2025
ISBN: 978-1-032-86466-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 240 Seiten, Format (B × H): 156 mm x 234 mm

Smart agriculture is an approach to maintaining nature without compromising the basic needs of future generations while at the same time improving the efficiency of farming. The main achievements of smart agriculture in terms of sustainable agriculture are crop rotation, controlling nutrient deficiencies in crops, pest and disease control, recycling, and water harvesting, leading to a safer environment overall. Living organisms depend on the nature of biodiversity and are exposed to pollution due to waste emissions, use of fertilizers and pesticides, degraded dead plants, and so on. The emission of greenhouse gases affects plants, animals, humans, and the environment; hence, this necessitates a better environment for living organisms.

The purpose of this book is to provide a comprehensive overview of the latest advancements, challenges, and potential applications of artificial intelligence (AI) technology and the Internet of Things (IoT) in the future of intelligent agriculture. The book is primarily focused on equipping younger researchers, graduates, and professionals in the industry with the necessary knowledge to understand the advantages of AI technology, machine learning, and data analytics methods in improving current agricultural practices.

Key features include the following:

- The book showcases the latest advancements in AI and smart agriculture technologies

- The text emphasizes sustainable practices supported by AI, highlighting how technology can enhance productivity while minimizing environmental impact

- Readers will learn how to harness big data and analytics to drive informed decision-making and optimize their agricultural yields

Zielgruppe

Academic, Postgraduate, and Professional Reference

Autoren/Hrsg.

Mabrouki, Jamal

Azrour, Mourade

Ahmad, Sultan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Naturwissenschaften Agrarwissenschaften Agrarwissenschaften Nachhaltige Landwirtschaft
• Naturwissenschaften Agrarwissenschaften Ackerbaukunde, Pflanzenbau
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

1. Smart Farming: An IoT-Enhanced and Interpretable Optimal Crop Selection Technique Based on Soil and Environmental Data
Al Amin Islam Ridoy, AKM Bahalul Haque, Farzana Akter, and Mourade Azrour

2. Enhanced Date Palm Seed Classification Using Genetic Algorithms and XGBoost
Abdelaaziz Hessane ,Mohamed Khalifa Boutahir, Ahmed El Youssefi, Yousef Farhaoui, and Badraddine Aghoutane

3. Internet of Things Based Precision Agriculture with Integrated Security for Smart Farming
Md. Alimul Haque, Sultan Ahmad, Deepa Sonal, Aasim Zafar, and Aleem Ali

4. Dynamic Texture Classification using ConvLSTM and Video Optical Flow Analysis: A Case Study
Manal Benzyane, Mourade Azrour, Said Agoujil, and Azidine Guezzaz

5. Digital Guardians: Revolutionizing Pest Management with AI and IoT for a Greener Future
Sreedeep Dey and Subhasis Roy

6. The Artificial Intelligence: Technological Revolution for Moroccan Agriculture

Hajar Khabouche, Miloudia Slaoui, and Jamal Mabrouki

7. Utilizing IoT and AI for Soil Health Monitoring and Enhancement in Sustainable Agriculture
Sultan Ahmad, Rupesh Kaushik, Rohit Ghatuary, Amit Kotiyal, Sapna Jarial, and Rajneesh Kumar

8. Leveraging IoT for Wildlife Deterrence: Smart Solutions for Crop Protection in Modern Farming
Md. Alimul Haque, Deepa Sonal, Sultan Ahmad, and Hikmat A. M. Abdeljaber

9. Advancing Water Quality Assessment through Artificial Intelligence Techniques
Anas Kabbori, Azidine Guezzaz, Said Benkirane, and Mourade Azrour

10. Aspects of IoT based applications intended for transforming world at large scale
Shafqat Ul Ahsaan, Ashish Kumar Mourya, and Seema Rani

11. Smart Agro-Tech: Using IoT-Powered Intelligence and Sustainable AI Solutions to Revolutionize Crop Management
Shivani Bhardwaj, Gauarv Gupta, Abhishek Tomar, Mukesh Tiwari, Sultan Ahmad, and Mourade Azrour

12. Introduction to smart agriculture using IoT
K.A. Vinodhini, T. Anstey Vathani, K.A. Varun Kumar, M.J. Carmel Mary Belinda, and Mourade Azrour

13. Deep Feature Extraction: Comparing VGG16, ResNet50, and InceptionV3 for Image Matching
Omaima El bahi, Ali Omari Alaoui, Youssef Qaraai, and Ahmad El Allaoui

14. The Future of Farming: AI, ML, and IoT for Improved Crop Yields
Shagufta Praveen and Mazhar Afzal

Über Autor(innen)

Professor Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 127 scientific papers and book chapters. Mourade Has edited many scientific books for example: “IoT, Machine Learning and Data Analytics for Smart Healthcare”, “Blockchain and Machine Learning for IoT Security”, “IoT and Smart Devices for Sustainable Environment”, “Advanced Technology for Smart Environment and Energy”. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things”, “Tsinghua Science and Technology”, “Applied Sciences MDPI” and “Sustainability MDPI”

Professor Jamal Mabrouki is researcher and expert in water science and technology. He is also engineer in environment and climate. Jamal is working on the project on migration and water and the role of water governance in migration policy in Africa with the cooperation between MedYWat and word Bank. He is currently a researcher for the environment and climate program at ECOMED in Morocco, where he started the coordinator of the project "Adaptation of citizens to climate change".

Professor Sultan Ahmad is an IEEE Member. He received his Ph.D. degree from Glocal University and Master of Computer Science and Applications degree from the prestigious Aligarh Muslim University, India with distinction marks. Presently, he is working as faculty in the Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia. He is also Adjunct Professor at Chandigarh University, Gharuan, Punjab, India. He has more than 15 years of teaching and research experience. He has around 80 accepted and published research papers and book chapters in reputed SCI, SCIE, ESCI, and SCOPUS-indexed journals and conferences. He has an Australian Patent in his name also. He has authored 4 books that are available on Amazon. His research area includes distributed computing, big data, machine learning, and the Internet of Things. He has presented his research papers at many national and international conferences. He is a Member of IEEE, IACSIT, and the Computer Society of India.