The aim of WP L is to explore the extended use of the Internet of Things (IoT) in order to produce trusted smart statistics. As the range of topics regarding the subject IoT is huge, the goal of this WP is to provide an overview of relevant topics for official statistics and to show their variety. As this WP is supposed to set the ground for further studies, another outcome will be to highlight topics that are promising and could be analysed further with regards to a feasibility study. Therefore, the availability and accessibility of the different data sources will also be checked.
Our goal within this work package will be to explore how the digital footprints of daily life created by human wearables, city and vehicles sensors and other smart systems could change the way to produce trusted smart statistics taking advantage of societies’ datafication.
Background - Task 1 “Smart Farming”
'Description of work: 'Task 1 – Smart Farming (AT, DE, PL)
The ESS is only at the beginning of understanding the potential use of smart statistics on agricultural inputs and production to complement the traditionally collected information.
The aim of this task is to explore the possible use of data coming from precision farming in agricultural statistics, to identify potential data sources and to prepare proof-of-concepts.
Task 1 will provide an overview related to identification, access and analysis of databases concerning various issues related to agricultural production such as production resources used in plant and animal production (equipment, fuel, fertilizers, fodders), health and crop protection valuation, animal welfare, water and soil resources.
Moreover, the task would help to explore the possibilities of using the obtained data from precision farming information to determine the vegetation differences, crop water requirement and nutrient supply, estimation yields and occurrence of diseases and pests. Furthermore, the databases may also be used for analyzes of animal production, i.e.: milking of cows (quantity and quality of the milk), animal welfare, livestock feeding and livestock buildings.
This information is the basis for achieving the goals in the field of eco-development, animal welfare, food safety and, as a result, to increase the efficiency of agricultural farming.
As part of the implementation of the project, the database will be evaluated based on modern tools in terms of: data sources, data structures and the possibilities and the method of obtaining them, including machine learning.
The subject of the task will be farms equipped with devices that meet the requirements of intelligent farming, consulting companies offering services for precision farming and companies providing smart technology.
Deliveries and tasks
Thus, this task aims at stocktaking and answering the following questions:
- What kind of data-producing technology is used in the farming sector that might serve as data source?
- MS 1 Which technologies are there?
- MS 2 What data is generated?
- MS 3 What data might serve as data source?
- Who owns this technology, and who is the data-owner of the produced information?
- MS 1: Create a catalog of potential data suppliers
- MS 2: first Investigations on the subject of data ownership
- What forms of cooperation might be possible between the data-owner and the NSI?
- MS 1: Establish contact with potential data suppliers
- MS 2: possible data workflow
- In which ways might information from farm machinery sensors, satellites, drones, wireless smart sensors in the field, etc. potentially complement or even substitute traditionally collected data? Which statistical products would be affected?
- MS 1: Impacts of the use of digital data on traditional statistics and possibilities