IOT for smart farm: A case study of the Lingzhi mushroom farm at Maejo University

Chieochan, Oran; Saokaew, Anukit; Boonchieng, Ekkarat

doi:10.1109/jcsse.2017.8025904

Cited by 41 publications

(15 citation statements)

References 2 publications

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“…The experimental results show that 65 out of 100 Pakistani experts and farmers satisfied with the proposed system. This result is consistent with [5] who presented that IoT application could increase the efficiency of Lingzhi mushroom farming at Maejo University, Thailand. They proposed IoT based smart farming, which composed of IoT and a humidity sensor that measured and monitored the humidity of the Lingzhi mushroom farm.…”

Section: A Development Of the Internet Of Things Based Intruder Detecsupporting

confidence: 91%

A Development of the Internet of Things based Intruder Detection and Security Alarm System

Sittisaman,

Panawong

2019

IJEAT

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Intruders usually break into houses with the intention of committing burglaries. This research proposed a development of an intrusion detection and security Alarm System using the Internet of Things. The methodology of the proposed system consists of five components. First, the hardware components are Raspberry Pi 3 Model B+, a camera for Raspberry Pi, motion sensors, relays and speakers, while the software system was developed by Python. Second, the architecture of the proposed system. Third, the design and construction of the electronic circuit connected with sensors. Fourth, the intruder image analysis for the alarm system using OpenCV and Deep Learning. The face detected by the camera was compared with homeowner’s pictures. If the detected face was not the homeowner, the system alarms the user or the owner via the smartphone LINE Application. Last, the Anto, which is the free and easy Internet of Things platform, connect the devices and the smartphone application together via the internet. Hence, the users or homeowners can control the devices or take the picture from a distance using a smartphone. The experimental results show that the proposed system can detect the intruder and alarm the homeowner via LINE Application on the smartphone. The experimental results show that the proposed system can efficiently detect the intruder and alarm the homeowner via LINE Application on the smartphone. The performance of the proposed system is excellent with the average score of 97.40%. The developed application on the Android smartphone is user-friendly, simple and efficient as well.

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Section: A Development Of the Internet Of Things Based Intruder Detecsupporting

confidence: 91%

A Development of the Internet of Things based Intruder Detection and Security Alarm System

Sittisaman,

Panawong

2019

IJEAT

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“…Chieochan et al 30 projected IoT based on Lingzhi mushroom farm. DTH22/AM2302 sensors were used to measure the humidity of the mushroom farm.…”

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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“…Several benefits of IoT in agriculture, their challenges and how data analytics combined with IoT is implemented in agriculture have been discussed [41]. There are many areas in which the workers were going on in agriculture and many literature survey have been done such as in crop production and livestock [42] [43], water management and weather condition [44][45] [46], monitoring of soil condition, disease control [47][48] [49] and some work literature work were focused on precision agriculture [50]. Many works can be done in agriculture to make farmer benefit with better decision making and productivity.…”

Section: Smart Agriculturementioning

confidence: 99%

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

Srivastava¹,

Mishra²

2019

IJRTE

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We all are living in the era of the internet that too up to the next level where each and everything has been connected to the internet. IoT has become much more popular these days with the advancement of technology and connecting physical world with the virtual world making the life of individual’s and organization easier. Recently IoT becomes more popular in the research area where many research articles have been published and reviewed. Its capacity to get associated with everything whether it's human, object, innovation, things, and so forth drawn numerous chances of advancement and extension in future. The way the technology has been evolved recently in every field we see rapid changes in the products, services, things that we are using in our daily life. IoT is platform that has becoming popular due to its simplified technology which benefits the individual’s as well as organization and end-users. Today’s IoT has given many opportunities to make easier life, effective communications and stay connected to our close and society by enabling many technologies but there are some issues which are the major concern of IoT and these issues must be resolved so that IoT can be used as revolutionary technology in future. This paper focuses on state-of–the-art porotypes on IoT, basic prerequisite in the IoT, role of big data in IoT. Enabling technologies, technology used in various applications such as smart city, agriculture, health-care, lifesaving, smart parking, urban planning. We also explore the applications of IoT and its future propensity, its architecture and comparison of IoT with H2M and M2M.

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IOT for smart farm: A case study of the Lingzhi mushroom farm at Maejo University

Cited by 41 publications

References 2 publications

A Development of the Internet of Things based Intruder Detection and Security Alarm System

A Development of the Internet of Things based Intruder Detection and Security Alarm System

Systematic review of Internet of Things in smart farming

State-of-the-art Prototypes and Future Propensity Stem on Internet of Things

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