IEEE 8Th INTERNATIONAL CONFERENCE ON M AND ICRITO’2020 · Technically Co-sponsored by IEEE UP...
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Amity Institute of Information Technology, Amity University Noida Campus Organizes IEEE 8 Th INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION ICRITO’2020 MARCH 5-6, 2020 Technically Co-sponsored by IEEE UP Section (INDIA) Call for Papers for Special Session on " Recent Paradigms of Machine Learning & IoT in Agriculture" Session Chairs Dr. Amrita Rai Electronics and Communication Engineering Dept. GL Bajaj Institute of Technology and Management Greater Noida, India [email protected] Dr. Deepti Sharma Department of Computer Science Engineering KCC Institute of Technology & Management Greater Noida, India [email protected] Session Co-Chair Dr. Reshu Agarwal Amity Institute of Information Technology Amity University Uttar Pradesh, Noida, India [email protected] Paper Submission Process While submitting your paper on easychair.org you are requested to select “Recent Paradigms of Machine Learning & IoT in Agriculture” as topic. Submit your paper (in pdf format) at https://www.amity.edu/NSPG/ICRITO2020/Login.aspx with a copy of the paper [email protected], [email protected], [email protected] with “Recent Paradigms of Machine Learning & IoT in Agriculture and Paper Id” mentioned in the subject line. Important Dates Receiving full paper December, 15, 2019 Email notification of paper acceptance December 31, 2019 Last date for receiving camera-ready paper January 10, 2020 Last date of registration (Early Bird) January 15, 2020 Last date of registration (With Late Fee) January 31, 2020 Theme of the Special Session In the world of today, modern information systems are able to collect very large data with inherent and increasing complex structure and dimensionality. Furthermore, the progress of the agriculture sector shall be incremental as it learns from associations between data over time through application of suitable AI, deep learning and IOT. The farming industry and Smart agriculture develop from the stringent limits of the farm location and affect a series of related fields, such as supply chain management, food availability, biodiversity, farmers' decision making and insurance, environmental studies and various Earth sciences among others. To convert smart Agriculture into reality, all the above areas need to be evaluated and considered for new research platform. This session is being planned with goal to uncover the probabilities and possibilities engaged with recognizing and Agriculture through equipped and effective profound learning algorithms. Most of the Agriculture research centers are adopting IoT for Monitoring the farm services Topics of Interest: We invite original (un-published) research contributions based on the above mentioned theme including following topics but not limited to: Deep Learning architecture and frame work. Machine Learning in Agriculture Deep Learning in Agriculture Role of IoT in sustainable Farming Big Data and IoT in Agriculture Disaster management. Deep Fake Technology Machine learning framework for Agricultural Up liftment IOT based Automatic whether forecast Optimization techniques in agriculture. Program Committee Dr. Ritesh Pratap Singh, Haramaya University, Ethiopia. Dr. Nripendra Narayan Das, Manipal University, Jaipur. Dr. Govind Singh Patel, LPU, Phagwara, Punjab. Dr. Om Prakash, SMEC, Hyderabad Dr. Seema Nayak, IIMT college of Engineering, Greater Noida Dr. Ravinder Nath Rajotiya, JIMS , Greater Noida. Dr. Pinky Yadav, Galgotia University, Greater Noida. Dr. Mayank Singh, GISR Foundation Ms. Shikha Gupta, JC Bose YMCA University Mr. Manoj Attri, Manav Rachna University Dr. Kavita Sharma, Govt College Faridabad
Transcript of IEEE 8Th INTERNATIONAL CONFERENCE ON M AND ICRITO’2020 · Technically Co-sponsored by IEEE UP...
Amity Institute of Information Technology, Amity University Noida
Campus Organizes
IEEE 8Th INTERNATIONAL CONFERENCE ON
RELIABILITY, INFOCOM TECHNOLOGIES AND
OPTIMIZATION
ICRITO’2020 MARCH 5-6, 2020
Technically Co-sponsored by IEEE UP Section (INDIA)
Call for Papers for Special Session on
" Recent Paradigms of Machine Learning & IoT in Agriculture"
Session Chairs
Dr. Amrita Rai Electronics and Communication Engineering Dept. GL Bajaj Institute of Technology and Management
Greater Noida, India [email protected]
Dr. Deepti Sharma Department of Computer Science Engineering
KCC Institute of Technology & Management Greater Noida, India
Session Co-Chair
Dr. Reshu Agarwal Amity Institute of Information Technology
Amity University Uttar Pradesh, Noida, India
Paper Submission Process
While submitting your paper on easychair.org you are requested to select “Recent Paradigms of Machine Learning & IoT in Agriculture” as topic.
Submit your paper (in pdf format) at https://www.amity.edu/NSPG/ICRITO2020/Login.aspx with a copy of the paper [email protected], [email protected], [email protected] with “Recent
Paradigms of Machine Learning & IoT in Agriculture and Paper Id” mentioned in the subject line.
Important Dates
Receiving full paper December, 15, 2019
Email notification of paper acceptance
December 31, 2019
Last date for receiving camera-ready paper
January 10, 2020
Last date of registration (Early Bird)
January 15, 2020
Last date of registration (With Late Fee)
January 31, 2020
Theme of the Special Session
In the world of today, modern information systems are able to
collect very large data with inherent and increasing complex structure
and dimensionality. Furthermore, the progress of the agriculture sector
shall be incremental as it learns from associations between data over
time through application of suitable AI, deep learning and IOT. The
farming industry and Smart agriculture develop from the stringent limits
of the farm location and affect a series of related fields, such as supply
chain management, food availability, biodiversity, farmers' decision
making and insurance, environmental studies and various Earth sciences
among others. To convert smart Agriculture into reality, all the above
areas need to be evaluated and considered for new research platform.
This session is being planned with goal to uncover the probabilities and
possibilities engaged with recognizing and Agriculture through equipped
and effective profound learning algorithms. Most of the Agriculture
research centers are adopting IoT for Monitoring the farm services
Topics of Interest: We invite original (un-published) research
contributions based on the above mentioned theme including following
topics but not limited to:
Deep Learning architecture and frame work.
Machine Learning in Agriculture
Deep Learning in Agriculture
Role of IoT in sustainable Farming
Big Data and IoT in Agriculture Disaster management.
Deep Fake Technology
Machine learning framework for Agricultural Up liftment
IOT based Automatic whether forecast
Optimization techniques in agriculture.
Program Committee
Dr. Ritesh Pratap Singh, Haramaya University, Ethiopia.
Dr. Nripendra Narayan Das, Manipal University, Jaipur.
Dr. Govind Singh Patel, LPU, Phagwara, Punjab.
Dr. Om Prakash, SMEC, Hyderabad
Dr. Seema Nayak, IIMT college of Engineering, Greater Noida
Dr. Ravinder Nath Rajotiya, JIMS , Greater Noida.
Dr. Pinky Yadav, Galgotia University, Greater Noida.
Dr. Mayank Singh, GISR Foundation
Ms. Shikha Gupta, JC Bose YMCA University
Mr. Manoj Attri, Manav Rachna University
Dr. Kavita Sharma, Govt College Faridabad
