A review of data governance challenges in smart farming and potential solutions

Abstract

The expectation on the agricultural system is constantly growing to be more productive with less labor, less water and less arable land. To achieve this goal, the use of digital technologies is being promoted. This has resulted in growth in use of wireless sensors, IoTs, cloud computing and other technologies in farms which have fueled the explorational of data. Data collected at farms varies from business operation data (farm management data), transport and farm storage data, land data (water, soil, GPS), machine data, agronomic data, livestock data, climate, and weather data. This large amount of data needs to be managed to ensure confidentiality and other governance requirements and enhance technical capacity and performance such as data integration and processing. This paper reviews the data governance challenges generated in smart farms and provides recommendations on how those challenges can be addressed.