Composting as a Service: A Real-World IoT Implementation

Yannis Nikoloudakis, Spyridon Panagiotakis, Thrasivoulos Manios, Evangelos Markakis and Evangelos Pallis
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Yannis Nikoloudakis: Department of Informatics Engineering, Technological Educational Institute of Crete, GR 71004 Crete, Greece
Spyridon Panagiotakis: Department of Informatics Engineering, Technological Educational Institute of Crete, GR 71004 Crete, Greece
Thrasivoulos Manios: School of Agriculture, Technological Educational Institute of Crete, GR 71004 Crete, Greece
Evangelos Markakis: Department of Informatics Engineering, Technological Educational Institute of Crete, GR 71004 Crete, Greece
Evangelos Pallis: Department of Informatics Engineering, Technological Educational Institute of Crete, GR 71004 Crete, Greece

Future Internet, 2018, vol. 10, issue 11, 1-15

Abstract: Composting is the delicate procedure of supervised decomposition of organic waste, which gradually transforms waste to nutrient-rich manure. It requires deep knowledge and constant attention by experts to achieve a quality outcome in a timely fashion. Nevertheless, due to the bizarre nature of the materials and the overall procedure, along with the space required and emitted odors, it is required that composting infrastructures and machinery are installed away from residential areas, rendering supervision a very tedious task. Automatic composting machinery is a promising new idea, but still cannot substitute the insightfulness of a human supervisor. In this paper, we introduce COMPosting as a Service (COMPaaS). COMPaaS is a novel cloud service in composition with specialized Internet of Things (IoT)-based composting machinery that allows for unsupervised composting. The focus of this work is on the tiered IT approach that is adopted following the edge-computing paradigm. More specifically, composting machinery, enriched with several sensors and actuators, performs a set of basic routine tasks locally and sends sensor values to a cloud service which performs real-time data analysis and instructs the composting machinery to perform the appropriate actions based on the outcome of the analysis. The overall composting procedure is performed in a completely unsupervised manner, and field evaluation has shown an up to 30% faster outcome in comparison to traditional supervised composting.

Keywords: cloud; edge; composting; IoT (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2018
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