Photovoltaic (PV) technology has evolved rapidly during the last decade and alongside the interest for the identification of the key factors that affect PV modules' performance during operation. Among different preventive maintenance techniques, thermal imaging offers considerable advantages regarding equipment's condition monitoring as it provides a nondestructive and cost-effective inspection tool. This paper attempts to address the problem of early defect diagnosis at installed PV modules through the exploitation of spatio-temporal information from thermal images. The proposed method aims to minimize standard maintenance costs and reduce the necessity of human intervention.
The chapter describes the key role that sensor data play in the DataBio project. It introduces the concept of sensing devices and their contribution in the evolution of the Internet of Things (IoT). The chapter outlines how IoT technologies have affected bioeconomy sectors over the years. The last part outlines key examples of sensing devices and IoT data that are exploited in the context of the DataBio project.
The chapter describes DataBio’s pilot applications, led by NEUROPUBLIC S.A., for sustainable agricultural production in Greece. Initially, it introduces the main aspects that drive and motivate the execution of the pilot. The pilot set-up consisted of four (4) different locations, four (4) different crop types and three (3) different types of offered services. The technology pipeline was based on the exploitation of heterogeneous data and their transformation into facts and actionable advice fostering sustainable agricultural growth. The results of the pilot activities effectively showcased how smart farming methodologies can lead to a positive impact from an economical, environmental and societal perspective and achieve the ambitious goal to “produce more with less”. The chapter concludes with “how-to” guidelines and the pilot’s key findings.
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