Greenhouse_Shrivan_Iran_Dataset

Published: 21 November 2024| Version 2 | DOI: 10.17632/ncrm9p4tc8.2
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Description

This dataset was collected over a six-month period, from November 2023 to April 2024, in a greenhouse located in Shirvan, Northern Khorasan, Iran. It encompasses observations of various states and actions, including inside and outside temperature, inside and outside relative humidity, wind speed, light intensity (lux), heater status, window status, and ground air heat transfers status.

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Steps to reproduce

The data was measured using sensors installed within the greenhouse to monitor various environmental and operational parameters. The sensor readings were transmitted to a Programmable Logic Controller (PLC) via the Modbus protocol, ensuring reliable and standardized data communication. Subsequently, the PLC forwarded the aggregated data to a server using the TCP protocol, facilitating remote storage, analysis, and access. This architecture ensures efficient data acquisition, real-time monitoring, and secure transfer to the central repository.

Categories

Artificial Intelligence, Artificial Neural Network, Climate Prediction, Support Vector Machine, Clustering, Greenhouse, Deep Learning, Agriculture

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