Study on Agricultural Condition Monitoring and Diagnosing of Integrated Platform Based on the Internet of Things

Jin-ying, YU; Zhang, Wei

doi:10.1007/978-3-642-36124-1_30

Cited by 7 publications

(4 citation statements)

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“…Last but not least, IoT sensors and systems have found widespread application in the field of remote diagnostics, especially in the medical and agriculture industries. Greenhouse operators, for example, use IoT sensors to remotely monitor and control favorable plant growing conditions such as humidity, light, temperature, and CO 2, among others [17]. In the medical industry, IoT platforms have found application in patient condition monitoring (using wearable devices), treatment (such as insulin pumps), and fitness tracking [18].…”

Section: ) Internet Of Things (Iot) Business Models: In a Nutshellmentioning

confidence: 99%

IoT and Blockchain in the Development of Smart Cities

Khrais¹

2020

IJACSA

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With the advent and proliferation of the internet, the fourth industrial revolution is in full swing. As a result, different technologies have the potential to impact the course of human development. In other words, worldwide populations are moving towards growing urban centers and as a result, smart cities are emerging as the integration of human activities and technologies. These smart cities are built on top of different technologies such as blockchain and the Internet of Things (IoT). Consequently, the applications of these technologies in current and future smart cities will not only change the nature of human interaction and governance but also how business is conducted. This paper proposes an experimental study (qualitative and quantitative) that will determine the impact of blockchain and IoT technologies on the development of smart cities. It aims to derive insight from questions such as how current business models are preparing themselves for this disruption, the challenges they will face, and the potential contributions the two technologies will have on business development. The study's outcomes will provide the rationale for why businesses should start paying attention to these technologies and start on an early adoption plan that will slowly transform their business models as smart cities mature.

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Section: ) Internet Of Things (Iot) Business Models: In a Nutshellmentioning

confidence: 99%

IoT and Blockchain in the Development of Smart Cities

Khrais¹

2020

IJACSA

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“…Uno de los ejemplos de esto, es el uso del internet da las cosas (IoT) para supervisar los cultivos bajo invernadero [15]. Yu presenta un modelo de supervisión donde se monitorea y diagnostica el estado del cultivo, además de la operación del invernadero de forma remota [16]. Por otro lado Karim presenta un sistema basado en IoT para la gestión del riego del cultivo [17], usando una interfaz gráfica donde se puede monitorear en tiempo real las variaciones de las condiciones del suelo.…”

Section: Supervisión De Variables Bajo Invernadero En Sistemas Irunclassified

Sistemas automatizados para el control del recurso hídrico y variables ambientales bajo invernadero: aplicaciones y tendencias

2020

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Esta revisión se propone identificar las aplicaciones más recientes relacionadas con la automatización bajo invernadero con enfoque al uso adecuado del recurso hídrico y control de variables ambientales. La revisión hace parte del proyecto de investigación aplicada, diseño e implementación de un sistema SCADA para control del recurso hídrico y variables ambientales asociadas bajo invernadero mediante PLC. Se realiza una búsqueda detallada en revistas indexadas, nacionales e internacionales, páginas web, base de datos, y empresas relacionada al sector y se clasifica la información acorde a algunos criterios diferenciados; supervisión de variables bajo invernadero en sistemas irrigados, control automático del recurso hídrico y variables ambientales, adquisición de información para irrigación bajo invernadero, tendencias de la automatización en sistemas irrigados. A partir de la información se identifican las tecnologías recientes algunas aplicaciones, las tendencias y la necesidad de aplicarlas en el sector agrícola; como aporte para reducir el impacto de la migración de la mano de obra del campo a la ciudad.

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“…The AT commands are used to realize the communication between the data processing module and the ZigBee wireless communication module, which simplifies the communication process and ensures the versatility of the ZigBee wireless module. In order to reduce power consumption, here the following measures are taken: 1) When the sub-node is idle, the microprocessor is in sleep mode, when the RTC alarm and external interrupt come, it is in wake mode; 2) when the microprocessor acquires sensor data, through the I / O port The mouth control electronics relay is closed to supply power to the sensor, and the electronic relay is disconnected at other times [10]. The program flow of sub-node is shown in Figure 3.…”

Section: Design Of Software Structure Of Sub-nodementioning

confidence: 99%

An Agricultural Habitat Information Acquisition and Remote Intelligent Decision System Based on the Internet of Things

Gao²,

et al. 2019

Computer and Computing Technologies in Agriculture XI

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On the basis of the information perception technology and mobile interconnection technology, through the technology of Agriculture Internet of Things, the multi-sensor system integration is realized, and the collaborative sensing of habitat information come true in crop production. This paper designs architecture of hardware and software for the system. By wireless multi-hop and seamless connection technologies of "triple net integration", common interfaces and scanning technologies of multi-sensor standard signal transform are used to achieve the multi-parameter information acquisition of crop during its growth. Wireless monitoring nodes of the Agriculture Internet of Things are distributed in each measurement point of the farmland, and they are responsible for information collection, pretreatment, and wireless transmission of eight parameters data, including the environment temperature, environment temperature, Light intensity, Carbon dioxide content, soil temperature, soil humidity, soil pH, soil salt. The data processing and service system execute remote data storage and on-line information release. The intelligent decision support system achieve real-time warning of abnormal parameters. Experiments show that the architecture of the system is reasonable, and the system has good accuracy, stability and reliability, in line with the practical application of grassroots agricultural field.

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Study on Agricultural Condition Monitoring and Diagnosing of Integrated Platform Based on the Internet of Things

Cited by 7 publications

References 0 publications

IoT and Blockchain in the Development of Smart Cities

IoT and Blockchain in the Development of Smart Cities

Sistemas automatizados para el control del recurso hídrico y variables ambientales bajo invernadero: aplicaciones y tendencias

An Agricultural Habitat Information Acquisition and Remote Intelligent Decision System Based on the Internet of Things

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