AI&ET_for_Sustainable Agriculture_2023: Optimizing Artificial Intelligence and Emerging Technologies for Sustainable Agriculture Jaipur, India, May 16-18, 2024 |
Submission link | https://easychair.org/conferences/?conf=aiet-for-sustainable0 |
Abstract registration deadline | January 15, 2024 |
Submission deadline | May 15, 2024 |
Agriculture 4.0, often referred to as the fourth revolution in agriculture, focuses on leveraging cutting-edge technologies to connect farmers from seed to market. Its primary objective is to optimize the precise and efficient use of resources, including seeds, fertilizers, pesticides, irrigation water, and sustainable soil health management. This optimization entails customizing farming practices based on data concerning soil conditions, moisture levels, and crop health, thereby reducing resource wastage and cost of cultivation and enhancing crop yields. Significant possibilities have emerged thanks to breakthroughs in Information and Communication technology, Artificial Intelligence, and the utilization of the Internet of Things (IoTs). ‘Future agriculture will use sophisticated technologies such as robots, temperature and moisture sensors, aerial images, and GPS technology. These advanced devices and precision agriculture and robotic systems will allow farms to be more profitable, efficient, safe, and environmentally friendly’(www.oliverwyman.com).By 2050, the world faces the challenge of producing 60-70% more food to accommodate a population of 9.3 billion individuals. This necessitates an additional 1 billion tons of cereals and 200 million tons of meat. To meet this demand, the farming and food industries must transition towards greater sustainability.
In this book titled "Optimizing Artificial Intelligence and Emerging Technologies for Sustainable Agriculture", we present the progress made in modern technology driven sustainable agriculture. Our aim is to provide a comprehensive exploration of this burgeoning field, which is often referred to as the fourth revolution in agriculture. This book aims to shed light on the immense potential of ICT, AI, IoT and data driven agriculture to address challenges of precise use of all resources in agriculture and pave the way for a more sustainable and prosperous agricultural future.The book promises to be an invaluable resource for researchers, policymakers, farmers, and anyone interested in the future of agriculture. We are confident that this book will make a significant contribution to the discourse surrounding sustainable agriculture and the pivotal role of ICT in general and Artificial Intelligence, Machine Learning & IoT in particulars.
Submission Guidelines
All papers must be original and not simultaneously submitted to another book or journal or conference. Prospective authors are invited to submit their chapters by following the Chapter/Manuscript preparation guidelines as mentioned below:
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References: The numbered system is normally used: Cite references by number (in square brackets), numbering them consecutively throughout the chapter, and listing them in numerical order at the end of the chapter. For all reference styles, include the complete author(s) name(s) as published, the complete reference title, publisher, location, and date of publication. Use standard abbreviations for journal titles and be consistent in use. Look up on the web if you do not know the standard abbreviation. Journal abbreviations and book titles should be in italic. Use a period (full stop) after any journal title abbreviation.Please follow exactly the styles below.
Journal Reference George, J., Sreekala, M.S., Thomas, S.A., A review on interface modification and characterization of natural fiber reinforced plastic composites. Polym. Eng.Sci., 41, 1471, 2001.
Authored book Sharon, M and Sharon M., Graphene: An introduction to fundamentals and industrial applications, pp.205-206, Wiley-Scrivener, 2015.
Edited volume Mittal, K.L. (Ed.), Polymer Surface Modification: Relevance to Adhesion, VSPlBrill, Leiden, 2009.
Chapter in edited volume Matinlinna, J.P., Dahl, J.E et al, The effect of the novel silane system on the flexural properties of E-glass fiber-reinforced composites for dental use, in: Silanes and Other Coupling Agents, K.L. Mittal (Ed.), pp. 107-121, VSPlBrill, Leiden, 2009.
Standard Standard specification for ultra-high-molecular-weight polyethylene molding and extrusion materials, ASTM D4020-05, 2007.
Web Citation Mitsui Chemicals, Ape1™ cyclo olefin copolymer (COC), http://www.mitsuichemicaIs.com/apel.htm, 2008.
PatentW.A Anderson and G.N. Meckling, Polymeric bicyclo-(2,2,1)-2-heptene, US Patent 2721189, assigned to DuPont, 1955.
Figures and TablesPermission to use figures:
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Proofs of your chapter
Proofs of your book or chapter will be sent to you for correction either by the publisher or the typesetters who will be providing project management. For authors, you will have 10 days to annotate the PDF and provide the chapter subject index (instructions will be given at the time).
- Note we are looking for a range of 8,000-12,000 words. Make sure list all co-authors with complete contact information and links to Google Scholar Profile and CVs.
- Note that all chapters will beput through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with maximum 3%from any single source).
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List of Topics
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Tentative Contents
Introduction to Agriculture 4.0: Revolutionizing Farming with Information and Communication Technology
Sustainable Agriculture Practices with ICT for Soil Health Management
Agro-Ecosystem Monitoring: Using ICT to Preserve Biodiversity
Smart Irrigation Systems: Efficient Water Resource Management in Agriculture
AI-Driven Crop Disease Detection and Prevention
Big Data Analytics in Precision Agriculture
IoT in climate Smart Farming
Drones and Unmanned Aerial Vehicles (UAVs) in Agriculture: From Surveillance to Crop Spraying
Artificial Intelligence and Machine Learning in Crop Yield Prediction and Pest Control
Smart Sensors and Automation in Farming
Mobile Apps and Farmer Engagement: Bridging the Digital Divide
Challenges and Opportunities in Implementing Agriculture 4.0 in Developing Countries
Farm-to-Table Traceability: ICT Solutions for Food Safety and Quality Assurance
Climate-smart Agriculture: Adapting to Climate Change with Technology
Agri-FinTech: Digital Solutions for Farm Financing and Risk Management
Case Studies of Successful Agriculture 4.0 Adoption in Different Agricultural Sectors
Satellite Technology and Remote Sensing in Precision Agriculture
Augmented Reality (AR) and Virtual Reality (VR) Applications in Agricultural Training and Simulation
ICT Solutions for Agricultural Extension Services and Knowledge Sharing
Blockchain Technology in Agribusiness
Committees
Dr Roheet Bhatnagar, INDIA || Dr Chandan Kumar Panda, INDIA || Dr Mahmoud Yasin Shams, EGYPT
Publication
Scopus and Web of Science indexed AI&ET_for_Sustainable Agriculture_2023 will be published by Scrivener Wiley Publishing: Established in 2009, the purpose of Scrivener Publishing is to publish books in the technicalapplied sciences for both the practitioner in industry and the researcher in academia. This high-quality content is essential to our professional customers and is sold globally as print and electronic as well as in aggregated databases, including Scopus and Web of Science.
By partnering with Wiley, the leading engineering publisher, to create our joint imprint, Wiley-Scrivener, Scrivener Publishing offers our authors, editors and contributors, efficient and personalized editorial attention, as well as global marketing, sales, and distribution both in print and digital.
There are no publication charges.
Contact
All questions about submissions should be emailed to the Volume Editors as given below:
Dr Roheet Bhatnagar, Professor, Department of Computer Science & Engineering, Manipal University Jaipur, Jaipur, Rajasthan, INDIA - roheet.bhatnagar@jaipur.manipal.edu
Dr. Chandan Kumar Panda, Scientist, Bihar Agricultural University Sabour, Bhagalpur, Bihar, INDIA - dr.ckpanda@gmail.com
Dr Mahmoud Yasin Shams, Department of Machine Learning and Information Retrieval, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt, - mahmoud.yasin@ai.kfs.edu.eg