Keyword extraction from single documents using mean word intermediate distance

Siddiqi, Sifatullah; Sharan, Aditi

doi:10.19101/ijacr.2016.625003

Cited by 3 publications

References 15 publications

(17 reference statements)

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Vertical farming monitoring system using the internet of things (IoT)

Chin¹,

Audah²

2017

AIP Conference Proceedings

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Development of realtime, handheld and portable flood distribution and water quality sensor based android smartphone AIP Conference Proceedings 1883, 020020 (2017) Abstract. Vertical farming had become a hot topic among peak development countries. However, vertical farming is hard to practice because minor changes on the surrounding would leave big impact to the productivity and quality of farming activity. Thus, the aim of this project is to provide a vertical farming monitoring system to help keeping track on the physical conditions of crops. In this system, varieties of sensors will be used to detect current physical conditions, and send the data to BeagleBone Black (BBB) microcontroller either in analog or digital input. Then, the data will be processed by BBB and upload to the Thingspeak Cloud. Furthermore, the system will record the position of equipment in used, which make it easier for maintenance when there is equipment broken down. The system also provide basic remote function where users could turn on/off the watering system, and the LED light via web-based application. The web-based application will also be designed to analyze and display data gathered in the form of graphs, charts or figures, for better understanding. With the improvement implemented on the vertical farming culture, it is expected that the productivity and quality of crops would increase significantly.

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