Week 1

Welcome to Data Science Applications in Agriculture

Introduction

Welcome to the exciting realm of Digital Agriculture! In this innovative course, we delve into the intersection of cutting-edge technologies and traditional farming practices. Explore how data analytics, sensor technologies, and precision farming methods revolutionize animal management, resource optimization, and decision-making processes. Gain insights into the transformative potential of digital tools in enhancing agricultural sustainability and productivity. Whether you’re an early-stage veterinary MSc or a tech enthusiast, join us on a journey to harness the power of digital advancements for a smarter and more efficient future in agriculture.

Learning goals

  1. Introduction to the ‘Data Science Applications in Agriculture’ course

  2. Get to know the team and initiate the main project

  3. Get to know R

  4. Submit programming assignment by Tuesday 24:00

Topics

Introduction to statistical programming (WC)

📖 Within the statistical programming labs, we will follow the Introduction to Data Science handbook by Rafael Irizarry.

📧 Send email with your Gmail address to me (miel.hostens@cornell.edu) so I can give you access to Google Drive and Google Colab.

💻 You will have to install R & R-studio on your computer.

A guideline to reproducible & FAIR data science (IC)

📺 Get familiar with FAIR by looking at this video.

📖 Read the intial publication on The FAIR Guiding Principles for scientific data management and stewardschip.

🔬 Explore the vision of Cornell University on FAIR principles and their Fair checklist.

💻 Check for reproducible advise in the tutorials at the bovi-analytics website.

🧑🏽‍🏫 Discuss with the entire team and Dr. Miel Hostens (contact him on his desk) on how this will reflect on your team project.

Back to course schedule ⏎