> For the complete documentation index, see [llms.txt](https://aims.gitbook.io/farm-data-mooc/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aims.gitbook.io/farm-data-mooc/unit-1-data-services-and-applications.md).

# Unit 1: Data, Services and Applications

![](https://3045014881-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-M-Jra7gchMCih2Q14kQ%2F-M-Q6aiVFIFSq1pazMLh%2F-M-Q728acx3n5SOJWYwI%2FPicture%201.png?alt=media\&token=f287e71b-1f9c-40b9-a104-45775c33336c)

## **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