BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//International Society of Agromatics (ISAM) - ECPv6.10.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:International Society of Agromatics (ISAM)
X-ORIGINAL-URL:http://agromatics.org
X-WR-CALDESC:Events for International Society of Agromatics (ISAM)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Halifax
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20220313T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20221106T050000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0400
TZOFFSETTO:-0300
TZNAME:ADT
DTSTART:20230312T060000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0300
TZOFFSETTO:-0400
TZNAME:AST
DTSTART:20231105T050000
END:STANDARD
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230911T100000
DTEND;TZID=America/Halifax:20230911T110000
DTSTAMP:20260405T142041
CREATED:20230908T145204Z
LAST-MODIFIED:20230908T155330Z
UID:554-1694426400-1694430000@agromatics.org
SUMMARY:Webinar series: Hyperspectral Image Classification and Its Agricultural Application
DESCRIPTION:Dear Colleagues\, \n  \nInternational Society of Agromatics (ISAM) is pleased to invite you to the Webinar “Hyperspectral Image Classification and Its Agricultural Application” by Dr. Qian (Jenny) Du on 11th of September 2023 (10:00 New York\, 14:00 London\, 17:00 İstanbul\, 22:00 Beijing) . You may find the Zoom and Youtube links of the webinar below. \n                         \nhttps://agromatics.org/event/webinar-series-5/ \n 
URL:http://agromatics.org/event/webinar-series-5/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230313T100000
DTEND;TZID=America/New_York:20230313T110000
DTSTAMP:20260405T142041
CREATED:20230307T182545Z
LAST-MODIFIED:20230309T154325Z
UID:528-1678701600-1678705200@agromatics.org
SUMMARY:Webinar series: Towards near real-time crop phenology mapping using high temporal and spatial resolution imagery
DESCRIPTION:Dear Colleagues\, \n  \nInternational Society of Agromatics (ISAM) is pleased to invite you to the Webinar “Towards near real-time crop phenology mapping using high temporal and spatial resolution imagery” by Dr. Feng Gao on 13th of March 2023 (10:00 New York\, 14:00 London\, 17:00 İstanbul\, 22:00 Beijing) . You may find the Zoom and Youtube links of the webinar below. \n                         \nhttps://agromatics.org/event/webinar-series-4/ \n 
URL:http://agromatics.org/event/webinar-series-4/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230109T090000
DTEND;TZID=America/New_York:20230109T100000
DTSTAMP:20260405T142041
CREATED:20230104T103139Z
LAST-MODIFIED:20230104T103408Z
UID:523-1673254800-1673258400@agromatics.org
SUMMARY:Webinar series: Near Real-Time Data Analytics in Agriculture
DESCRIPTION:Dear Colleagues\, \n  \nInternational Society of Agromatics (ISAM) is pleased to invite you to the Webinar “Near Real-Time Data Analytics in Agriculture” by Professor Vladimir Crnojević on 9th of January 2023 (09:00 New York\, 14:00 London\, 17:00 İstanbul\, 22:00 Beijing) . You may find the Zoom link of the webinar in the attachment. \nhttps://agromatics.org/event/webinar-series-3/ \n 
URL:http://agromatics.org/event/webinar-series-3/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221114T090000
DTEND;TZID=America/New_York:20221114T100000
DTSTAMP:20260405T142041
CREATED:20221108T205856Z
LAST-MODIFIED:20221124T150449Z
UID:487-1668416400-1668420000@agromatics.org
SUMMARY:Webinar series: Deep Learning based Super Resolution in Remote Sensing for Agriculture
DESCRIPTION:Remote sensing (RS) satellite images are increasingly used in several monitoring\, planning and management applications. Although spectral and spatial resolution of RS satellite images has great importance for the performance of the application\, optimal conditions may not be possible in many cases due to physical limitations and the feasibility restrictions. RS Image Super-resolution aims restoring the high-resolution remote sensing images from the given low-resolution images and it demonstrated significant development in parallel to the deep learning algorithms. Recent advances of deep learning based RS image super-resolution methods and their possible impact on agricultural monitoring applications will be evaluated and presented in this webinar by professor Elif Sertel. \nWebinar series: Deep Learning based Super Resolution in Remote Sensing for Agriculture \n \n  \nElif Sertel is a Professor at Geomatics Engineering Department of Istanbul Technical University (ITU). She conducted her PhD dissertation work and had post-doctoral researcher position at Rutgers University\, USA as a Fulbright Scholar. Professor Sertel is in the Editorial Board of “Geocarto International” and “International Journal of Digital Earth” journals. She held the Director position at ITU-Center for Satellite Communications and Remote Sensing between 2012 and 2021. Her main research interests are remote sensing\, geo-statistics\, machine learning based image processing for remote sensing\, disaster management\, remote sensing for agricultural monitoring and land-cover/use change. She has more than 150 scientific publications in the literature and received multiple prestigious awards in the field. \n  \n  \nLive at Zoom and Youtube (14th November 2022): \nhttps://itu-edu-tr.zoom.us/j/97074775930?pwd=b29RV2VGbDNudWhiN1dia0tGLzlEZz09 \nyoutu.be/JWf8l-b4xrk \nModerator: Prof.Dr. B.Berk Ustundag – Vice President / ISAM & Professor of Istanbul Technical University \n  \n12th September  9:00 New York/ET \n______________14:00 London \n______________17:00 İstanbul \n______________22:00 Beijing
URL:http://agromatics.org/event/webinar-series-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20220912T100000
DTEND;TZID=America/Halifax:20220912T110000
DTSTAMP:20260405T142042
CREATED:20220907T124512Z
LAST-MODIFIED:20220907T125233Z
UID:467-1662976800-1662980400@agromatics.org
SUMMARY:Webinar series: Digital Twins in Agriculture
DESCRIPTION:Global food demand is estimated to rise around 50% in the next 30 years\, while arable land per capita continuously decreases. On the other hand\, energy dependency of modern farming technics and the farm to fork food chain increases. Efficiency management has become a strategic factor for food and agriculture. Digital twin concept appears as one of the key methods for the efficiency management. \nDigital twins in agriculture can potentially be used by the farmers\, agronomists\, traders and the governmental authorities at different scales. It enables near-real-time crop status monitoring and management through fusion of models\, operational records\, remote sensing data and the in-situ measurements. It has wide span of potential usage that includes planning\, production\, farm management\, basin management\, market management\, sustainability and the food logistics. \nAlthough the popularity of the digital twin raises\, there are also many questions about its feasibility\, applicability\, suggested methods and the possible performance in real-life cases. Professor Bedir Tekinerdogan is one of the leading scientists in digital twin research for agriculture. He will present and evaluate potentials\, concerns and suggestions about digital twins in agriculture. \n  \nProf.Dr. Bedir Tekinerdogan is full professor and chairholder of the Information Technology group at Wageningen University\, The Netherlands. His current research at Wageningen University concerns smart system of systems engineering\, with an emphasis on software engineering\, artificial intelligence\, and information technology. He has more than 25 years of experience in information technology and software/systems engineering. He is the author of more than 400 peer-reviewed scientific papers and 6 edited books. He has been active in dozens of national and international research and consultancy projects with various large software companies\, whereby he has worked as a principal researcher and leading software/system architect in different domains such as enterprise systems\, automotive systems\, critical infrastructures\, cyber-physical systems\, satellite systems\, defense systems\,  command and control systems\, and the precision farming. Professor Tekinerdogan is a board member of ISAM. \n  \n  \n  \nLive at Zoom (12th September 2022): \nhttps://itu-edu-tr.zoom.us/j/92874973284?pwd=ZmVqSHRqbG1UNDRiZE9IaWh4czFDZz09 \nModerator: Prof.Dr. B.Berk Ustundag – Vice President / ISAM \n  \n12th September  10:00 New York/ET \n______________15:00 London \n______________17:00 İstanbul \n______________22:00 Beijing
URL:http://agromatics.org/event/webinar-series-1/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220711
DTEND;VALUE=DATE:20220715
DTSTAMP:20260405T142042
CREATED:20211004T193109Z
LAST-MODIFIED:20211004T193109Z
UID:64-1657497600-1657843199@agromatics.org
SUMMARY:International Conference on Agro-Geoinformatics 2022
DESCRIPTION:
URL:http://agromatics.org/event/international-conference-on-agro-geoinformatics-2022/
END:VEVENT
END:VCALENDAR