IEEE Webinar on "A Digital Agriprecision Application for Pasture Clean-up"
IEEE Student Branch and International Collaboration Cell || IEEE Webinar || Saturday, 22 January, 12:30pm-1:30pm
IEEE Student Branch in collaboration with International Collaboration Cell, ABES Engineering College is organizing a Webinar on "A Digital Agriprecision Application for Pasture Clean-up" on Saturday, 22nd January, from 12:30 pm to 1:30 pm. The speakers of the Webinar are Dr. Aniket Mahanti and Mr. Hossein Chegini, The University of Auckland, New Zealand.
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- Start time: 22 Jan 2022 07:00 AM UTC
- End time: 23 Jan 2022 08:00 AM UTC
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Speakers
Dr. Aniket of The University of Auckland, New Zealand
Introduction to Weeds and Pastures
To introduce pastures used as main nutrition for cattle having a great share in the economy of New Zealand's
agriculture.
Biography:
Dr. Aniket Mahanti has 15 years of experience in designing, measuring, analyzing, and modeling complex distributed
systems. Currently, He is an associate professor of the School of Computer Science, Faculty of Science, The University of
Auckland, New Zealand. He is actively involved with the research community through participation in prestigious conference
committees, workshop organizations, journal/conference reviewing, invited seminars, journal editing, international grant
reviewing, and external M.Sc./Ph.D. examination. He has co-chaired the IEEE Workshop on Network Measurement from
2013-2016.
Address:Auckland, New Zealand
Hossein of The University of Auckland, New Zealand
A Digital Agriprecision Application for Pasture Clean-up
• To explore the main problem of pastures, monitoring, cleaning is a great challenge for dairy farmers.
• To discuss a Decision Support System (DSS) for detecting weeds in pastures.
To discuss a fuzzy inference system to assess a pasture that supports farmers in scheduling, recommending prohibitive
tasks.
Biography:
Mr. Hossein Chegini is a doctoral candidate in Information Systems and Operations Management, Faculty of Business and
Economics, The University of Auckland, New Zealand. He has achieved his B.S. degree in software engineering at south
Tehran University with a project of developing a GPS application on small devices. He has also received his M.S. in Artificial
Intelligence at the science and research university of Tehran. He did his master thesis on forecasting space weather and
sunspot numbers. He has interests and skills in many AI courses and tools such as Neural Networks, Fuzzy Systems, Expert
Systems, Genetics Algorithms, and Image Processing.
Address:Auckland, New Zealand
Agenda
Title of IEEE Webinar: A Digital Agriprecision Application for Pasture Clean-up
Objectives of Webinar:
• To introduce pastures used as main nutrition for cattle having a great share in the economy of New Zealand's
agriculture.
• To explore the main problem of pastures, monitoring, cleaning is a great challenge for dairy farmers.
• To discuss a Decision Support System (DSS) for detecting weeds in pastures.
To discuss a fuzzy inference system to assess a pasture that supports farmers in scheduling, recommending prohibitive tasks.