Farm Data Management MOOC
  • Farm Data Management, Sharing and Services for Agriculture Development Online Course
  • Read about the course
  • Unit 1: Data, Services and Applications
    • Lesson 1.1 Data for Agriculture
    • Lesson 1.2 Farmer Level Data and Farmer Profiling
    • Audiovisual Materials
  • Unit 2: Data Sharing Principles
    • Lesson 2.1 What is Shared and Open Data
    • Lesson 2.2 Challenges for Smallholders in Data Value Chains
    • Lesson 2.3 Responsible Data Sharing in Agricultural Value Chains
    • Lesson 2.4 Personal Data Protection
    • Audiovisual Materials
  • Unit 3: Using Data
    • Lesson 3.1 Discovering Open Data
    • Lesson 3.2 Quality and Provenance
    • Lesson 3.3 Data Analysis and Visualization
    • Lesson 3.4 Open Data in Policy Cycles
    • Audiovisual Materials
  • Unit 4: Exposing Data
    • Lesson 4.1 Managing Data for Reuse
    • Lesson 4.2 Guiding Frameworks for Data Sharing
    • Lesson 4.3 Introduction to Data Interoperability
    • Lesson 4.4 Interoperability of Farm Data
    • Lesson 4.5 Open Licensing for Data
    • Audiovisual Materials
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Unit 1: Data, Services and Applications

PreviousRead about the courseNextLesson 1.1 Data for Agriculture

Last updated 5 years ago

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Learning objectives

This Unit covers the topics of value of data in agriculture to support farmers, increase their income and develop food production; digital farmer profiling and the strategies to design business model for profiling. At the end of this unit, you will be able to:

  • Understand the value of data in agriculture to support farmers, increase their income and develop food production.

  • Identify the type of services that data enables Understand characteristics of global data and farm-level data Identifying key datasets in farming crop cycles

  • Understand how and why farm-level data can be collected and exploited

  • Understand the importance for farmer groups and cooperatives to profile their members

  • Identify the core components and the partners required to put in place a profiling platform

  • Understand the challenges related to farmer profiling

  • Design a business model to sustain the profiling members