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IoT Agriculture 2014

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11278200
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Data Sources with Authors In the master's thesis research conducted by student Mohammed Ismail Lifta (2023-2024) at the Department of Computer Science, College of Computer Science and Mathematics- Tikrit University,Iraq. Data was collected from a smartly-equipped greenhouse. The study was supervised by Assistant Professor Wissam Dawood Abdullah, Director of the Cisco Networking Academy at Tikrit University. It involved the construction of a smart greenhouse equipped with advanced technologies for monitoring and controlling environmental conditions. The study included an application that links data to Google Sheets for remote monitoring and control, providing an effective platform for efficient management of the greenhouse. ( 13 features , 37923 Row) Columns and Data Types: date (datetime64): The date and time the measurements were recorded.temperature (int64): The recorded temperature in degrees Celsius.humidity (int64): The percentage of humidity in the environment.water_level (int64): The water level as a percentage.N (int64): The nitrogen level in the soil, scaled from 0 to 255.P (int64): The phosphorus level in the soil, scaled from 0 to 255.K (int64): The potassium level in the soil, scaled from 0 to 255.Fan_actuator_OFF (float64): Indicator for the fan actuator if it is off (0 or 1).Fan_actuator_ON (float64): Indicator for the fan actuator if it is on (0 or 1).Watering_plant_pump_OFF (float64): Indicator for the plant watering pump if it is off (0 or 1).Watering_plant_pump_ON (float64): Indicator for the plant watering pump if it is on (0 or 1).Water_pump_actuator_OFF (float64): Indicator for the water pump actuator if it is off (0 or 1).Water_pump_actuator_ON (float64): Indicator for the water pump actuator if it is on (0 or 1). Additional Details: The data was cleaned by removing duplicate rows and missing values.Categorical columns were encoded using One-Hot Encoding technique to facilitate the use of the data in machine learning.The file is ready for analysis and modeling using machine learning tools. How to Use This data can be used for environmental research and studies. Proper attribution must be given when using this data in any publication.No Change the dataset. Contact For more information or inquiries, please contact the principal researcher: Professor ( Assistant) Wisam Dawood Abdullah (Email: wisamdawood@tu.edu.iq).
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2024-05-24
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