"No one is harder on a talented person than the person themselves" - Linda Wilkinson ; "Trust your guts and don't follow the herd" ; "Validate direction not destination" ;

January 20, 2019

Day #195 - Data Science in Agriculture: Challenges and Opportunities

Great talk Nice Idea presented

Key Summary
  • Corn Grinding for Cattle


  • Real time Information of Harvest Quality / Yield

  • Multiple Technology Advancements in Agriculture AI 
  • With Drone Identify Crop Eating Birds / Pollinating Birds
  • Types of Birds in Real world Dataset

  • Features and weights, Non-Linear Transformations are done by network

  • Data Challenges / Infrastructure

  • Interactive Search is a great way
  • Confidence score improves as we move forward



My Thoughts
  • Interactive Mode is Impressive Idea
  • When ML cannot be accurate its better to iterate and go find next solution
  • Google images need to change in perspective of domain and context (Image for Plant Disease / Image for Identify Plant)









Next List
Big Data in plant science: The UW maize breeding and genetics program
Data Science opportunities for sustainable agricultural systems
Taming ecological modeling and forecasting with an informatics approach
Identification of disease in corn/maize based on physiological traits

Happy Mastering DL!!!

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