posted by user: rmehul || 2902 views || tracked by 2 users: [display]

DSANRM 2020 : Virtual Workshop on Data Science for Agriculture and Natural Resource Management

FacebookTwitterLinkedInGoogle

Link: https://sites.google.com/view/dsanrm2020
 
When Dec 16, 2020 - Dec 16, 2020
Where India
Submission Deadline Oct 31, 2020
Notification Due Nov 21, 2020
Final Version Due Dec 6, 2020
Categories    data science   machine learning   agriculture   natural resource management
 

Call For Papers

CALL FOR PARTICIPATION

Virtual Workshop on
Data Science for Agriculture and Natural Resource Management
(DSANRM 2020)

16th December, 2020

Contact
https://sites.google.com/view/dsanrm2020/
dsanrm2020@gmail.com

About DSANRM

DSANRM-2020 address challenges and issues related to Data Science in Agriculture and Natural Resource Management, data mining of weather or crop production data for estimation or prediction of disease, tools, and data mining for the prediction models to solve the problem and develop frameworks for data mining in a specific domain of agricultural databases. The Indian Society of Agricultural Information Technology (INSAIT) is organizing this virtual workshop on 16th December, 2020 in collaboration with Ahmedabad University as a part of the 8th International Conference on Big Data Analytics 2020 (BDA2020) (https://www.bda2020.org/) to be held at Ashoka University, Sonipat, Haryana, India during 15-18 December, 2020 in India.

Supporting Organizations

Indian Society of Agricultural Information Technology (INSAIT)
http://insait.in
In India, the majority of the population still depends on agriculture for livelihood. Indian agriculture has stood the test of time and achieved green, white, yellow, blue and cyber revolutions. Access to information and its effective use as knowledge is crucial for successful economic development. Instant access to information on the availability of inputs, financial resources, technological innovations and changing market conditions has become critical to the viability of rural economy. In this context, it is most prudent to extend the benefit of IT to agriculture and allied industries. Efforts in this direction would help in extending the benefits of technological advances to the rural people. As a first step in this direction, the Indian Society of Agricultural Information Technology (INSAIT), a professional society was launched at Dharwad in the year 2000.


Ahmedabad University
https://ahduni.edu.in
Ahmedabad University is a private, non-profit institution established in 2009. It offers a range of diverse, rigorous academic programmes to enable students to grow into well-rounded leaders. Ahmedabad University is dedicated to foster continuous progress of self and society. It aspires to become an exemplar in the transformation of higher education and research in India. The programmes include undergraduate, graduate and doctoral studies in areas such as engineering, life sciences, management, arts, and computer science.

For Whom
Researchers, Scientists, Professionals, Academicians, Students (PhD, MS, MTech), Government officials, Industry personnel

Topics
Prospective authors are invited to submit original research papers in following areas:

- Agricultural Data Model including sensing and reliability in agriculture
- Big data analytics, and cloud computing for agriculture
- Data science and Data mining techniques for analysis of agriculture data
- Data science-based decision support systems for natural resource management
- Innovations in agriculture and sensing devices in smart farming
- Knowledge based agriculture data models for smart computing in agriculture
- Precision agriculture for smart farming solutions
- Security and privacy for big data in agriculture
- Geo-BigData platforms and solutions for smart agriculture
- Data science and geoportals for location-based services in agriculture
- Geospatial standards, interoperability and knowledge discovery in agriculture
- Data science in high performance plant breeding

Guidelines for prospective authors
• Prospective authors may submit 500 words abstract to https://forms.gle/rXeUeGpDANSzR1Eq7

• Prospective authors are invited to submit original research papers (not being considered for publication elsewhere) from 15 to 20 pages in length in the LNCS style. Unformatted papers and papers beyond the page limit will not be reviewed. The submissions will be accepted through
https://forms.gle/rXeUeGpDANSzR1Eq7

• Each paper should contain an abstract of approximately 250 words having a page limit of 20 pages including the title page in 1.5 line spacing, references and appendix. For preparing the manuscript, please see instructions for authors by Springer, in the Lecture Notes in Computer Science series (LNCS) LaTeX and Word Templates & Submission Guidelines:
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0

• All submitted papers will be peer-reviewed by at least three program committee members. At least one author of each accepted paper is required to register at the workshop and present the paper. Accepted and presented papers will be published in the form of edited books published by the Springer.

Speakers

Dr. Suresh Kumar Chaudhari,
Deputy Director General (NRM), Indian Council of Agricultural Research, New Delhi, India

Prof. Soumik Sarkar,
Associate Professor, Department of Mechanical Engineering and Department of Computer Science Iowa State University, USA

Dr. Prasad S. Thenkabail,
Supervisory Research Geographer-15, US Geological Survey, Flagstaff, Arizona, USA

Prof. Seishi Ninomiya,
Graduate School of Agricultural and Life Sciences, University of Tokyo, Japan

Dr. Leisa Armstrong,
School of Science, Edith Cowan University, Australia

Prof. J. Adinarayana,
Institute Chair Professor; Head, CSRE, Indian Institute of Technology, Bombay (IITB), Mumbai, India

Prof. Pabitra Mitra,
Professor, Computer Science Engineering, Indian Institute of Technology, Kharagpur, India

Dr. S.P. Wani,
Former, Research Program Director – Asia and Director, ICRISAT Development Center, Hyderabad, India

Dr. Navin Kumar C. Twarakavi,
IBM Research Lab, India

Dr. Saravanan Raj,
Director (Agricultural Extension), National Institute of Agricultural Extension Management(MANAGE)

Prof. P. Krishna Reddy,
Professor, International Institute of Information Technology, Hyderabad, India

Dr. G.P. Obi Reddy,
Principal Scientist, Division of Remote Sensing Applications, ICAR-NBSS&LUP, Nagpur,India & Secretary, INSAIT

Prof. Sanjay Chaudhary,
Interim Dean and Professor, School of Engineering and Applied Science;
Dean of Students, Ahmedabad University, Ahmedabad, India

Prof. Mehul S. Raval,
Professor, School of Engineering and Applied Science, Ahmedabad University, Ahmedabad, India



Organising Committee

Workshop Chairs

Dr. G.P. Obi Reddy, ICAR-NBSS&LUP, Nagpur, India & Secretary, INSAIT

Prof. Mehul S. Raval, Ahmedabad University, Ahmedabad, India


Advisory Committee

Prof. J. Adinarayana, CSRE, IIT Bombay, Mumbai, India

Prof. P. Krishna Reddy, IIIT Hyderabad, Hyderabad, India

Dr. Leisa Armstrong, Edith Cowan University, Perth, Australia

Prof. Seishi Ninomiya, University of Tokyo, Tokyo, Japan

Prof. Sanjay Chaudhary, Ahmedabad University, Ahmedabad, India

Prof. V.C. Patil, KIAAR, Sameerwadi, India

Prof. Dean Diepeveen, Murdoch University, Perth, Australia

Dr. P. Chandran, ICAR-NBSS&LUP, Nagpur, India


Technical Program Committee

Dr. Dileepkumar Guntuku, Ex Iowa State University, Iowa, USA

Prof. Devesh Jinwala, SVNIT, Surat, India

Dr. Saravanan Raj, MANAGE, Hyderabad, India

Prof. Ranendu Ghosh, DAIICT, Gandhinagar, India

Dr. Vasala Madhava Rao, Ex CGARD, Hyderabad, India

Dr. Shashikant A. Sharma, ISRO, Ahmedabad, India

Dr. Rajender Parsad, ICAR-IASRI, New Delhi, India

Dr. R. Uday Kiran, University of Tokyo, Tokyo, Japan

Prof. M. T. Savaliya, VGEC, Ahmedabad, India

Dr. Ratnik Gandhi, NTT Docomo, Vancouver, Canada

Dr. Shakti Mishra, PDPU, Gandhinagar, India

Dr. Mandar Chaudhary, Infinia ML, NC, USA

Related Resources

PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
SOFSEM 2021   47th International Conference on Current Trends in Theory and Practice of Computer Science
ICDM 2021   21th Industrial Conference on Data Mining
ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
MLDM 2021   17th International Conference on Machine Learning and Data Mining
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
CBDA 2021   2nd International Conference on Big Data
ITAS--EI Compendex, Scopus 2021   2021 Information Technology & Applications Symposium (ITAS 2021)--EI Compendex, Scopus
ACM--CCIOT--EI, Scopus 2021   ACM--2021 6th International Conference on Cloud Computing and Internet of Things (CCIOT 2021)--Ei Compendex, Scopus