Join the diverse Crop Modeling sessions at the virtual convention next week!

[Gerrit Hoogenboom]

View this email in your browser Join the conversation #BigDataInAg Crop Modeling CoP Pre-Convention Update     AT A GLANCE ABOUT THE CONVENTION Join us 19-23 October at Digital Dynamism for Adaptive Food Systems CROP MODELING SESSIONS Don't miss our upcoming internal sessions and convention sessions   IN CASE YOU MISSED IT Our latest news and past webinars   CONNECT WITH US Questions? Doubts? Want to be more informed? Interact with us via email or social media   ABOUT THE CONVENTION Dear members, We are pleased to invite you to the upcoming CGIAR Convention on Big Data in Agriculture that will take place next week from 19 to 23 October 2020. It will be a fully virtual, #OneCGIAR convention, engaging a wide audience of more than 2,500 researchers, private sector stakeholders, donors and investors, and entrepreneurs from around the globe. Under the theme of Digital Dynamism for Adaptive Food Systems, the convention will focus on several subtopics, including natural and digital ecosystems, food security in times of crisis, inclusive digital transformation, agile digital technologies, and natural and digital ecosystems. Don't miss this unique opportunity and register for free TODAY to the convention!   In this Convention, our Crop Modeling Community of Practice will  host different  sessions that can be of your interest. Find all the details below! We are happy to welcome you to our sessions! Regards, The Crop Modeling Community of Practice Team Virtual Convention: Digital Dynamism for Adaptive Food Systems 19-23 OCTOBER 2020 ONLINE & GLOBAL #BDPGLOBAL2020 #OneCGIAR REGISTER NOW CROP MODELING CoP INTERNAL SESSIONS The Crop Modeling Community of Practice invites all members to participate in two internal sessions that explore some current challenges in crop modeling: Disease Crop Modeling Advances and Challenges for Large-Scale Simulation Studies 19 OCTOBER, 2:00 - 4:00 PM CEST Speakers: Diego Pequeno, Timothy Krupnik, Jose Mauricio Fernandes, Simone Bregaglio, Carlos Montes, Jacob Smith & Christopher Gilligan In this session we present some aspects of crop disease modeling including minimum data requirements, integration of disease and crop growth models, and successful applications of crop disease modeling new technologies. Outline: Crop pests and diseases assessing and monitoring are important aspects of agricultural systems to consider for assuring food security in many parts of the world. Multidisciplinary approaches such as crop growth modeling integration with pests and disease modeling have advanced in this aspect to develop warning systems and crop damage assessments tools. In this session we present some aspects of crop disease modeling including minimum data requirements, integration of disease and crop growth models, and successful applications of crop disease modeling new technologies. REGISTER Phenotyping and Remote Sensing to Facilitate Minimum Data Set Requirements for Crop Simulation Modelling 19 OCTOBER, 4:30 PM - 6:30 PM CEST Speakers: Matthew Reynolds, Kai Sonder, Davide Cammarano & Heidi Webber This workshop will discuss ideas on how the digital technologies such as remote sensing for high throughput phenotyping can supplement or potentially serve as proxies for some of the harder to phenotype traits required, in different modelling contexts. Outline: Crop models can require extensive and/or intensive data sets to drive simulations as well as for calibration purposes. While some of the information is straightforward, such as agronomic performance traits (e.g. yield, phenology) as well as weather data, other types of data require significant resources such as green area index, light interception and water and nitrogen availability in the soil. As a result, the vast majority of field data sets are not ‘model friendly’, lacking key inputs required for simulation purposes. This workshop will discuss ideas on how the digital technologies such as remote sensing for high throughput phenotyping can supplement or potentially serve as proxies for some of the harder to phenotype traits required, in different modelling contexts. REGISTER CROP MODELING CoP SESSIONS DURING THE CONVENTION Are you a crop modeler, a GIS specialist or a crop scientist interested on how Machine Learning can be applied to crop Models? Or are you wondering how to study crop growth and development at a spatial level. Then don’t miss the two webinars the Crop Modeling Community of Practice is going to present during the Convention. Machine Learning and Crop Modeling. A Modern Affair? 21 OCTOBER, 2:15 PM - 3:00 PM CEST Speakers: Scott Chapman & Mark Cooper Several efforts have been developed recently to integrate (deep) machine learning (ML) algorithms into crop models to result in better predictions and inform adaptation strategies. In this session our speakers will present the current work they are developing to link training genetic data to crop models to improve predictions and facilitate genomic selection for upstream crop management support. Some examples of image analysis and phenotyping using ML linked to crop models will be presented. After the presentation, our panelists will open up a discussion about the role of ML in crop modeling.   Register for the convention to join this session. Gridded Crop Modeling Advances and Challenges for Regional and Global Simulation Studies 22 OCTOBER, 1:00 PM - 1:45 PM CEST Speakers: Diego Pequeno, Jawoo Koo & Christoph Müller Several efforts have been developed to integrate point-based crop models with Geographic Information Systems (GIS) input data to study crop growth and development at a spatial level. Due to the complexity of data variability representation and accuracy over space and time, many crop modeling groups have developed tools to run gridded crop simulation models. In this session we present some of those approaches, including concepts of GIS data requirements, examples of crop modeling studies using spatial level data and processing of simulation outputs. Register for the convention to join this session. IN CASE YOU MISSED IT If you missed our latest blog posts or one of our previous webinars, no worries! We've added the most recent here, as well as a link to our website page where you can watch all previous webinars. New study on measuring efficiency in potato landraces: How far are we from the optimum? A new publication by scientists from the International Potato Center (CIP) highlights the usefulness of combining crop growth model, remote sensing, and plant ecophysiological tools to assess genetic efficiencies in potato landraces...READ What are TPEs? What are they useful for? How can a breeding program develop and use them? In this webinar organized by the Crop Modeling Community of Practice these and more questions are addressed...WATCH This webinar presents what secondary data are being used by CGIAR crop modeling researchers and discuss when to (and not to) use the secondary data in practice... WATCH SEE ALL PREVIOUS WEBINARS CONNECT WITH US  CONTACT INFORMATION   Matthew Reynolds Community of Practice on Crop Modeling Lead m.rey...@cgiar.org   Kai Sonder Community of Practice on Crop Modeling Co-Lead k.so...@cgiar.org   Anabel Molero Milan Community of Practice Coordinator a.m....@cgiar.org Were you forwarded this message? Subscribe to the BIG DATA mailing list to receive important news and updates first! The CGIAR Platform for Big Data in Agriculture is led by  Visit our website to learn more Copyright © 2020 CGIAR Platform for Big Data in Agriculture, All rights reserved. You are receiving this email because you opted in to receive updates from the CGIAR Platform for Big Data in Agriculture. Our mailing address is: CGIAR Platform for Big Data in Agriculture Km 17 Recta Cali-Palmira Cali 6713 Colombia