MAR 27, 2019 12:00 PM PDT

Opportunities and Challenges for Applying Machine Learning in the Cannabis Space

Speaker
  • Professeur titulaire/Full Professor, Département de management/ Department of Management, Faculté des sciences de l'administration / Business School Pavillon Palasis-Prince, Université Laval
    BIOGRAPHY

Abstract

Building and production management systems are creating massive amounts of data related to growing cannabis. This presents the opportunity for growers to use machine learning (ML) tools to substantially increase their profitability and lower risk.  Researchers and entrepreneurs have only recently started applying ML to agriculture, and virtually no research exists regarding cannabis. This session has three goals: 1) Introduce participants to the basic process of developing a ML model; 2) Discuss a few examples of ML being applied to non-cannabis crops that have relevance to cannabis; 3) Discuss some challenges of applying ML in the cannabis space.

Learning Objectives: 

1. Learn the process of building a machine learning (ML) model.
2. Learn some likely ML application in the cannabis space and the general implementation challenges. 


Show Resources
You May Also Like
SEP 14, 2021 7:00 AM PDT
C.E. CREDITS
SEP 14, 2021 7:00 AM PDT
Date: September 14, 2021 Time: 7am PDT, 10am EDT, 4pm CEST A conventional thermal cycler has long been a commodity product in the lab and end-point PCR techniques can be completed almost wit...
JUL 15, 2021 8:00 AM PDT
C.E. CREDITS
JUL 15, 2021 8:00 AM PDT
Date: July 15, 2021 Time: 8:00am (PDT), 11:00am (EDT) High dimensional full spectrum flow cytometry grants unprecedented access to previously unattainable parameters in cellular biology. Flu...
OCT 20, 2021 10:00 AM PDT
C.E. CREDITS
OCT 20, 2021 10:00 AM PDT
Date: October 20, 2021 Time:10:00am (PDT), 1:00pm (EDT) As the prevalence of Diabetes continues to rise in many areas across the globe, healthcare providers continue to look for methods that...
DEC 09, 2021 6:00 AM PST
C.E. CREDITS
DEC 09, 2021 6:00 AM PST
Date: December 9, 2021 Time: 6:00am (PDT), 9:00 am (EDT) As the number of biotherapeutic candidates in development is increasing, the requirements of analytical tools to understand the molec...
JUN 09, 2021 7:00 AM PDT
C.E. CREDITS
JUN 09, 2021 7:00 AM PDT
Date: June 9, 2021 Time: 09 June 2021, 7am PDT, 10am EDT, 4pm CEST cells with dramatic implications on the validity of past cell culture related research. The fact that at least 509 cell lin...
OCT 12, 2021 9:00 AM PDT
C.E. CREDITS
OCT 12, 2021 9:00 AM PDT
Date: October 12, 2021 Time: 9:00am (PDT), 12:00pm (EDT) SCIEX’s next-generation Biologics Explorer software is an innovative platform for the comprehensive and deep characterization o...
MAR 27, 2019 12:00 PM PDT

Opportunities and Challenges for Applying Machine Learning in the Cannabis Space



Show Resources
Loading Comments...
Show Resources