AI in Agriculture for Sustainable and Economic Management (eBook, ePUB)

Redaktion: Potluri, Sirisha; Zuorro, Antonio; Basa, Santi Swarup; Satpathy, Suneeta

• Format: ePub

Produktbeschreibung

This book explains the best practices and their respective outcomes in AI to meet sustainable development goals. It examines the practices, technologies, and innovations at the core of various research issues to meet the sustainable development demands in agriculture to balance social, economic, and environmental sustainability with AI.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 1. August 2024
• Englisch
• ISBN-13: 9781040098127
• Artikelnr.: 70919567

Autorenporträt

Dr. Sirisha Potluri is an Associate Professor in the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Bowrampet, Hyderabad, Telangana, India. Her research areas include cloud Computing, Edge Computing, Artificial Intelligence and Data Analytics. She has more than 8 years of teaching experience in various subjects- Computer Programming using C, Python Programming, Data Structures, Core JAVA, Advanced JAVA, OOP using C++, Operating Systems, Distributed Operating System, Human Computer Interaction, C# and .NET Programming, Computer Graphics, Web Technology, UNIX Programming, Distributed and Cloud Computing, Data Mining and Warehousing, Scripting Languages, Database Management Systems, Software Engineering, and Software Process Management. Dr. Suneeta Satpathy received her Ph.D. from Utkal University, Bhubaneswar, Odisha, in 2015, with Directorate of Forensic Sciences, MHA scholarship from Govt of India. She is currently working as an Associate Professor, Faculty of Emerging Technologies, SRI SRI University, Cuttack, Odisha. Her research interests include Computer Forensics, Cyber Security, Data Fusion, Data Mining, Big Data analysis, and Decision Mining. Dr. Santi Swarup Basa received his Ph.D. degree from Maharaja Sriram Chandra Bhanjadeo University (Erstwhile North Orissa University), Baripada, Odisha, M.Tech (Comp.Sc.) from F.M.University, Balasore, Odisha and MCA from BPUT, Rourkela, Odisha. He is currently working as an Assistant Professor in the Department of Computer Science, MSCB University, Baripada, Odisha. His research interests include Software Engineering, Web Engineering, Data Mining, and Cloud Computing. He has 18 years of teaching experience. He is a life member of ISTE and ISC. Dr. Antonio Zuorro is a Professor and Researcher at the Department of Chemical, Materials and Environmental Engineering of Sapienza - University of Rome, in the scientific disciplinary sector ING-IND / 24 (Principles of Chemical Engineering). He is also circular and bio-economy expert. He is also Dissemination and Exploitation Manager with expertise in organization and execution of communication plans and actions for the exploitation of bio-based results. He graduated in Chemical Engineering (BioChemical Engineering specialization) at the University of Rome "La Sapienza", later on he obtained, with "excellent" evaluation, the PhD in Chemical Engineering of the Environment and Safety.

Inhaltsangabe

1. Artificial Intelligence: Towards sustainable, smart, and green
agriculture. 2. Artificial Intelligence in Achieving Sustainable
Development Goals: Models and Approaches. 3. Smart Solutions for a
Sustainable Future: Unlocking the Potential of AI for a Sustainable Future
in Architecture, Energy, and Agriculture. 4. AI for Optimization of Farming
Resources and their Management. 5. Democratising Intelligent Farming
Solutions to Develop Sustainable Agricultural Practices. 6. AI- driven
approach for Precision Agriculture. 7. Precision Agriculture and AI:
Nurturing Sustainable Food Ecosystems. 8. Agriculture and AI: A Subtle
Conjunction of Predictive Analysis and Voice Assistant in the World of
Agriculture. 9. Machine Learning and IoT in Smart Agriculture. 10.
Empowering Agriculture: IoT for Sustainable Farming Practices. 11. An
Analysis Efficient Cloud Based Scheduling Infrastructure: Driving the Shift
of Artificial Intelligence in Farming. 12. Animal Intrusion Detection
System using Semantic Segmentation and YOLO V4 Object Detector. 13. Smart
Farming for Sustainable Development -
A Study at Sonepur District of Odisha. 14. Analytical Approaches to
Sustainable Farming Systems. 15. Is Ethiopia Coffee Cooperatives Farmers
Proficient to Predict Capital Structure with Mediation of AI Based
Knowledge Systems and Asset Liquidity?. 16. Is Marketing Intermediaries'
Mediation required for Livestock and Products Marketing to uplift the
Economic Status of Pastoralist Community in Ethiopia?.