Exploring sensor data for agricultural statistics: The fruit is not hanging as low as we thought

This month, the first article I am a co-author of is published by "Statistical Journal of the IAOS":

Exploring sensor data for agricultural statistics: The fruit is not hanging as low as we thought

Authors: Snijkers, Ger; Punt, Tim; De Broe, Sofie; Gómez Pérez, José

Abstract: New business processes are increasingly data driven as sensors have become ubiquitous. Sensor data could be a valuable new data source for official statistics. To study this presumption Statistics Netherlands conducted a small-scale use case in the area of agricultural statistics in collaboration with an  innovative farmer. A selection of his sensor data was explored for overlap with current data demands in  surveys. The aim of the study was to obtain insights in the available agricultural data, their data structure and quality, and explore new methods of data collection for agricultural statistics. The conclusion is that  these data are valuable for replacing or pre-filling (parts of) certain agricultural surveys. However, many more challenges surfaced than we expected, to which the title of this paper refers. These challenges will be discussed in this paper.

Keywords: Business data collection, official statistics, smart industry, precision farming, agriculture, data challenges