Development of Intelligent Information Monitoring System in Greenhouse Based on Wireless Sensor Network

Xing, Xijun; Song, Jiancheng; Lin, Lingyan; Tian, Mingliang; Lei, Zhipeng

doi:10.1109/icisce.2017.205

Cited by 26 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Agricultural IoT has made great progress in recent years. Xing et al designed a greenhouse information intelligent monitoring system based on ZigBee wireless sensing technology [22]. Diego et al designed agrometeorological monitoring station based on Bluetooth technology, and the data was sent to the computer through the wireless Bluetooth module [23].…”

Section: ) Definition and Development Of Agricultural Iotmentioning

confidence: 99%

Overview of Edge Computing in the Agricultural Internet of Things: Key Technologies, Applications, Challenges

2020

View full text Add to dashboard Cite

The application of the Internet of Things in agricultural development usually occurs via a monitoring network that consists of a large number of sensor nodes, thus gradually transforming agriculture from a human-oriented and single-machine-centric production model to an information-and software-centric production model. Due to the large area coverage of agriculture and the variety of production objects, if all farmland perception information is gathered into the cloud server, the server will exert greater pressure on the network, which reduces the speed of response to event processing. This problem may be perfectly solved by the recent emergence of Edge computing, which can share the load of the cloud server and reduce the delay. Edge computing has prospects in agricultural applications, such as pest identification, safety traceability of agricultural products, unmanned agricultural machinery, agricultural technology promotion, and intelligent management. The application of the Agricultural Internet of Things integrates artificial intelligence, the Internet of Things, and blockchain and Virtual/Augmented Reality technologies. This paper primarily reviews the application of Edge computing in the Agricultural Internet of Things and investigates the combination of Edge computing and Artificial Intelligence, blockchain and Virtual/Augmented reality technology. The challenges of Edge computing task allocation, data processing, privacy protection and security, and service stability in agriculture are reviewed. The future development direction of Edge computing in the Agricultural Internet of Things is predicted.

show abstract

Section: ) Definition and Development Of Agricultural Iotmentioning

confidence: 99%

Overview of Edge Computing in the Agricultural Internet of Things: Key Technologies, Applications, Challenges

2020

View full text Add to dashboard Cite

show abstract

“…As an illustration, different sensors ranging from simple (temperature, humidity, pH, illumination, pressure, UV, CO 2 , wind speed, solar radiation (Jahnavi and Ahamed 2015;Thirukkuralkani et al 2018;Jiang et al 2016;Erazo-Rodas et al 2018) to complex [cameras (Hwang and Yoe 2016), mid-infrared spectroscopy (Wang et al 2016)] have been used, and their measurements were communicated wirelessly to the host system using several technologies such as Zigbee (Chen et al 2016a(Chen et al , 2017Xing et al 2017;Raheemah et al 2016;Pascual et al 2015;Luo et al 2016;Liu and Bi 2017;Aiello et al 2018;Rao et al 2016;Ismail et al 2016;Ibayashi et al 2016;Erazo, et al 2015;Çaylı et al 2017), radio (Liang-Ying and Zhao-Wei, 2015;Mahbub 2020), GSM/GPRS (Liang-Ying and Zhao-Wei, 2015;Liu and Zhang 2017;Navarro-Hellín et al 2015;Mat et al 2016), 3G/4G (Zhou and Duan 2016;Chung et al 2015;Zhang et al 2015), Wi-Fi (Aiello et al 2018;Chung et al 2015;Mohapatra and Lenka 2016;Liang et al 2018a) and Bluetooth (Hong and Hsieh 2016;Taşkın et al 2018). However, to keep the greenhouse automation trouble-free, a secure protocol for wireless sensor networks has been proposed in the automated agricultural environment and has allowed more reliability…”

Section: Full Automation Technologiesmentioning

confidence: 99%

Smart greenhouses as the path towards precision agriculture in the food-energy and water nexus: case study of Qatar

Karanisa

Achour²,

Ouammi

et al. 2022

Environ Syst Decis

View full text Add to dashboard Cite

Greenhouse farming is essential in increasing domestic crop production in countries with limited resources and a harsh climate like Qatar. Smart greenhouse development is even more important to overcome these limitations and achieve high levels of food security. While the main aim of greenhouses is to offer an appropriate environment for high-yield production while protecting crops from adverse climate conditions, smart greenhouses provide precise regulation and control of the microclimate variables by utilizing the latest control techniques, advanced metering and communication infrastructures, and smart management systems thus providing the optimal environment for crop development. However, due to the development of information technology, greenhouses are undergoing a big transformation. In fact, the new generation of greenhouses has gone from simple constructions to sophisticated factories that drive agricultural production at the minimum possible cost. The main objective of this paper is to present a comprehensive understanding framework of the actual greenhouse development in Qatar, so as to be able to support the transition to sustainable precision agriculture. Qatar’s greenhouse market is a dynamic sector, and it is expected to mark double-digit growth by 2025. Thus, this study may offer effective supporting information to decision and policy makers, professionals, and end-users in introducing new technologies and taking advantage of monitoring techniques, artificial intelligence, and communication infrastructure in the agriculture sector by adopting smart greenhouses, consequently enhancing the Food-Energy-Water Nexus resilience and sustainable development. Furthermore, an analysis of the actual agriculture situation in Qatar is provided by examining its potential development regarding the existing drivers and barriers. Finally, the study presents the policy measures already implemented in Qatar and analyses the future development of the local greenhouse sector in terms of sustainability and resource-saving perspective and its penetration into Qatar’s economy.

show abstract

“…The presence of greenhouse technology in the context of sustainable agriculture is one solution to meet food needs. Farming in a greenhouse aims to improve product quality and quantity [6], and minimize production costs [7]. However, all of this can be achieved if the information about environmental conditions can be known in detail.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Design to Control the Duration of Irrigation Time in the Greenhouse

Widyawati

Ambarwari

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Automatic irrigation is not new, this method has been invented by mankind to irrigate large areas of land through drip irrigation systems. The system is implemented to reduce water wastage in irrigation. In greenhouse irrigation control, computerized control is very important to increase productivity. On the other hand, conventional irrigation control in greenhouses is not effective, because it is based on on-off or proportional control. This paper presents a solution to control irrigation time duration based on fuzzy logic method. Fuzzy logic controller (FLC) was developed using the Mamdani method. FLC is built on the NodeMCU ESP8266 board mounted with a DHT22 and soil moisture sensor. Temperature and water content in the soil parameters are used as input for fuzzy logic to determine the duration of irrigation time. The linguistic values used as fuzzy membership functions include soil moisture (water, wet, dry), temperature (cold, normal, hot), and watering time (zero, short, medium, long). Based on the membership function, 9 fuzzy rule bases are determined. The testing results on fuzzy logic built on NodeMCU ESP8266 with fuzzy logic built on MATLAB software obtained an average error of 0.59%.

show abstract

Development of Intelligent Information Monitoring System in Greenhouse Based on Wireless Sensor Network

Cited by 26 publications

References 5 publications

Overview of Edge Computing in the Agricultural Internet of Things: Key Technologies, Applications, Challenges

Overview of Edge Computing in the Agricultural Internet of Things: Key Technologies, Applications, Challenges

Smart greenhouses as the path towards precision agriculture in the food-energy and water nexus: case study of Qatar

Fuzzy Logic Design to Control the Duration of Irrigation Time in the Greenhouse

Contact Info

Product

Resources

About