An IoT-based greenhouse monitoring system with Micaz motes

Akkaş, Mustafa Alper; Sokullu, Radosveta

doi:10.1016/j.procs.2017.08.300

Cited by 132 publications

(29 citation statements)

References 3 publications

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“…• Collecting the environmental data through sensors, including the temperature, relative humidity, carbon dioxide concentration, light intensity, soil temperature, soil humidity, and pH value; • Uploading the collected data to the control system through signal transmission facilities; • Modeling and analyzing the heterogeneous data through the prediction model in the control system [56]. Through the above three steps, the facilities in a greenhouse, e.g., the sprinkler irrigation facility, drip irrigation facility, and temperature regulation facility, can execute commands intelligently and automatically to maintain steady environmental conditions.…”

Section: B Agricultural Internet Of Things Applicationmentioning

confidence: 99%

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Yang

Shu

Chen

et al. 2021

IEEE/CAA J. Autom. Sinica

245

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With the deep combination of both modern information technology and traditional agriculture, the era of agriculture 4.0, which takes the form of smart agriculture, has come. Smart agriculture provides solutions for agricultural intelligence and automation. However, information security issues cannot be ignored with the development of agriculture brought by modern information technology. In this paper, three typical development modes of smart agriculture (precision agriculture, facility agriculture, and order agriculture) are presented. Then, 7 key technologies and 11 key applications are derived from the above modes. Based on the above technologies and applications, 6 security and privacy countermeasures (authentication and access control, privacy-preserving, blockchain-based solutions for data integrity, cryptography and key management, physical countermeasures, and intrusion detection systems) are summarized and discussed. Moreover, the security challenges of smart agriculture are analyzed and organized into two aspects: 1) agricultural production, and 2) information technology. Most current research projects have not taken agricultural equipment as potential security threats. Therefore, we did some additional experiments based on solar insecticidal lamps Internet of Things, and the results indicate that agricultural equipment has an impact on agricultural security. Finally, more technologies (5G communication, fog computing, Internet of Everything, renewable energy management system, software defined network, virtual reality, augmented reality, and cyber security datasets for smart agriculture) are described as the future research directions of smart agriculture.

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Section: B Agricultural Internet Of Things Applicationmentioning

confidence: 99%

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

Yang

Shu

Chen

et al. 2021

IEEE/CAA J. Autom. Sinica

245

View full text Add to dashboard Cite

show abstract

“…The adoption of IoT technologies to support agriculture and farming is well documented in the literature and covers various fields such as to name a few, greenhouse management, crop and livestock monitoring [4,20]. As an example, in [21] the authors propose a system to collect greenhouse environmental parameters (namely temperature, light, pressure and humidity) and to visualize them thought a smartphone or a computer. In [22], IoT is combined with computer vision techniques to deploy a monitoring system for Phalaenopsis orchids.…”

Section: Related Workmentioning

confidence: 99%

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

Codeluppi

Cilfone

Davoli

et al. 2020

Sensors

126

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Presently, the adoption of Internet of Things (IoT)-related technologies in the Smart Farming domain is rapidly emerging. The ultimate goal is to collect, monitor, and effectively employ relevant data for agricultural processes, with the purpose of achieving an optimized and more environmentally sustainable agriculture. In this paper, a low-cost, modular, and Long-Range Wide-Area Network (LoRaWAN)-based IoT platform, denoted as “LoRaWAN-based Smart Farming Modular IoT Architecture” (LoRaFarM), and aimed at improving the management of generic farms in a highly customizable way, is presented. The platform, built around a core middleware, is easily extensible with ad-hoc low-level modules (feeding the middleware with data coming from the sensors deployed in the farm) or high-level modules (providing advanced functionalities to the farmer). The proposed platform has been evaluated in a real farm in Italy, collecting environmental data (air/soil temperature and humidity) related to the growth of farm products (namely grapes and greenhouse vegetables) over a period of three months. A web-based visualization tool for the collected data is also presented, to validate the LoRaFarM architecture.

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“…Akkas and Sokullu 57 used MicaZ motes to monitor various environmental parameters in greenhouses. The environment data are observed by MicaZ motes and it transfers collected data to gateway device such as MIB 250 platform.…”

Section: Iot‐based Agricultural Monitoring and Controlling Systemmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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An IoT-based greenhouse monitoring system with Micaz motes

Cited by 132 publications

References 3 publications

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

LoRaFarM: A LoRaWAN-Based Smart Farming Modular IoT Architecture

Systematic review of Internet of Things in smart farming

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