IoT Based Models in Healthy Natural Resource Management: Healthy Soils for Healthy Food Productions

Abstract

The use of the Internet of Things (IoT) has been recognised as a promising space for enhancing sustainability and efficiency within natural resource management. IoT sensors provide real-time data from a variety of environmental scenarios, helping to monitor soil moisture levels, air quality, or even water level logs. This data can be used to make priority-setting decisions in resource allocation, conservation policies, and planning for the mitigation of associated environmental degradation. In addition, IoT-based systems bring the power of a superior predictive analytics engine that can forecast ecological disturbances before they occur and suggest proactive steps. These models can analyse historical data using machine learning algorithms and forecast trends in order to optimise resource utilisation and purposefully reduce risk associated with biodiversity, ecosystem health, etc. Environmental monitoring becomes more comprehensive when IoT-enabled equipment is placed in hard-to-reach or remote locations. Furthermore, a broad spectrum of stakeholders, from small-scale farmers to major conservation organisations, can leverage IoT technology due to its scalability and affordability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.