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 amrita.tu@gmail.com

Dr. Deepti Sharma Department of Computer Science Engineering

KCC Institute of Technology & Management Greater Noida, India

deeptiguria@gmail.com

Session Co-Chair

Dr. Reshu Agarwal Amity Institute of Information Technology

Amity University Uttar Pradesh, Noida, India

ragarwal1@amity.edu

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 amrita.ru@gmail.com, deeptiguria@gmail.com, ragarwal1@amity.edu 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