AgriRev2020: The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions |
Submission link | https://easychair.org/conferences/?conf=agrirev2020 |
Abstract registration deadline | November 30, 2020 |
Extended date for submission of full chapter | April 15, 2021 |
Submission deadline | April 15, 2021 |
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Title: The Digital Agricultural Revolution: Innovations and Challenges in Agriculture through Technology Disruptions
Agriculture is in practice since age old civilizations and farmers have always contributed in Nation building by producing produce to feed the ever growing number of people/population. Agriculture is the foundation of economy and livelihood means for millions of farmers. There is a need of synergy between application of modern scientific innovation in the area of Artificial Intelligence and Agriculture, considering the major challenge from climate change consequences viz. temperature rising, erratic rainfall pattern, emergence of new pest of crops, drought, flood etc. It is general articulation, farming is squeezing in between vagaries of nature and volatile marketing price of farm produces. Although, there are stupendous progress in the arena of science and technologies in general and artificial intelligences in agriculture.
The world has seen tremendous development in agriculture sector as well and as a result of first Agricultural Revolution, farmers have accomplished amazing things. Things changed during the Industrial Revolution when the scientific method, and more advanced machinery, was deliberately applied to food and farming, founding the second major agricultural revolution. Careful breeding of livestock, deliberate crop rotation, and better equipment helped boost production.
The Green Revolution of the mid-20th century, which could be considered the third agricultural revolution, introduced hybrid seeds and chemical inputs, and use of many new technologies. Since the last decade or so, the world has witnessed extensive data driven agriculture, sometime also known as Agriculture 4.0 or Precision Farming, which has helped in optimizing the resources in the farming.
Today, we are on the verge of a new agricultural revolution, sometimes referred to as “Agriculture 5.0” involving convergence of Artificial Intelligence, Robotics & Automation and Internet of Things (connected objects) and it is just the start, and this is going to take on the agri-domain for the betterment of societal benefit and a sustainable agriculture. The rapid deployment and use of such advanced technologies and digital tools is all the more necessary as the agricultural fields are shrinking and urbanization is on the increase. The whole eco system is disturbed but these new strategies for feeding the world’s growing population will see a tremendous boost. Thus, we will and we must transition through the Digital Agricultural Revolution into what is being called as “Agriculture 5.0.”
This edited book book volume is intended to report high-quality research (theory, practical including prototype & conceptualization of ideas, frameworks, real world applications, policy, standards, psychological concerns, case studies and critical surveys) on recent advances toward the realization of the ‘Agriculture 5.0’ as a result of convergence of different technologies. Submissions from prospective authors and researchers (both from academicians & industry practitioners & developers) are invited in all aspects pertaining to this multidisciplinary paradigm, including the design and development of intelligent techniques for various applications of futuristic agriculture practices. This book aims at emphasizing the latest developments & achievements in the field of modern agriculture which is highly driven by technology and aimed at Sustainable Agriculture.
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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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.
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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).
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List of Topics, but not limited to the following:
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Section Name
Tentative topics for possible chapters
Applications of Artificial Intelligence in Agriculture
- AI models and architectures, system design, real applications of AI,
- machine learning and deep learning in agriculture domain,
- visualizing and interpreting remote sensing (RS) satellite images & data using Machine Learning methods, applying deep learning on RS images,
- Dependability of ML-enabled Agriculture Systems,
- Integration of Domain Knowledge into the Machine Learning based Agricultural Process,
- integration & coordination of systems and issues & challenges
IoT and Big Data Analytics Applications in Agriculture
- theory, system design, architectures, wireless sensor networks,
- use of various types of sensors in optimizing agriculture resources and final produce,
- synergisation with AI based systems,
- benefits of big data analytics in real time for crop acreage estimation, monitoring & control
Robotics & Automation in Agriculture Systems
- Automation challenges, need and recent developments,
- Collaborative Robots (COBOTS) and their applications in agriculture,
- use of drones for precision farming, system design and architectural aspects of automation,
- automation challenges and issues
Intelligent and Innovative Smart Agriculture Applications
- Applications involving hybrid intelligence for optimization,
- improving efficiency and health of crops, better crop management
Privacy, Security and Trust in Agriculture 5.0
- effects of too much automation in agriculture,
- governing policy, government framework, security and trust issues
Open Problems, Challenges and Future Trends
- Key issues, challenges and problems in AI,
- IoT based system design & implementation,
- emerging and futuristic applications,
- real case studies and tutorials
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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.
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 Nitin Kumar Tripathi, Professor of Geoinformatics, Director- Special Degree Programs, Asian Institute of Technology, THAILAND - nitinkt@ait.ac.th
Dr. Chandan Kumar Panda, Scientist, Bihar Agricultural University Sabour, Bhagalpur, Bihar, INDIA - dr.ckpanda@gmail.com
Dr. Nitu Bhatnagar, Associate Professor, Chemistry and Deputy Registrar (Academics), Manipal University Jaipur, Rajasthan, INDIA - nitu.bhatnagar@jaipur.manipal.edu