Abstract

Crop diseases cannot be accurately predicted by merely analyzing individual disease causes. Only through construction of a comprehensive analysis system can users be provided with predictions of highly probable diseases. In this study, cloud-based technology capable of handling the collection, analysis, and prediction of agricultural environment information in one common platform was developed. The proposed Farm as a Service (FaaS) integrated system supports high-level application services by operating and monitoring farms as well as managing associated devices, data, and models. This system registers, connects, and manages Internet of Things (IoT) devices and analyzes environmental and growth information. In addition, the IoT-Hub network model was constructed in this study. This model supports efficient data transfer for each IoT device as well as communication for non-standard products, and exhibits high communication reliability even in poor communication environments. Thus, IoT-Hub ensures the stability of technology specialized for agricultural environments. The integrated agriculture-specialized FaaS system implements specific systems at different levels. The proposed system was verified through design and analysis of a strawberry infection prediction system, which was compared with other infection models.

Highlights

  • Smart farms are farms that can remotely and automatically control the growth environments of crops and livestock, by combining information and communications technology (ICT) with greenhouses, livestock barns, and orchards [1,2]

  • Unlike must be be overcome overcome by by wireless wireless communication communication in in Unlike other other industrial industrial fields, fields, many many problems problems must the suchsuch as long-distance communication and real-time crop monitoring challenges

  • Compared to oneM2M Release 1, Release 2 is focused on various Internet of Things (IoT) platforms and network protocol of objects that use Internet a small amount and has(IPSO)

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Summary

Introduction

Smart farms are farms that can remotely and automatically control the growth environments of crops and livestock, by combining information and communications technology (ICT) with greenhouses, livestock barns, and orchards [1,2]. Such farms measure and analyze the temperature, humidity, and sunshine levels of farm facilities using technology such as the Internet of Things (IoT). Smart farms are attracting global attention as a solution to the increasing demand for food due to population growth; labor force shortage owing to fewer and aging farmers; and ongoing problems in agriculture, such as limited distribution and expansion of cutting-edge agricultural technology [12,13,14]. Decreasing production owing to disease requires attention because this problem directly affects the income of farm households [16]

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