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Analysis Study Research Paper | Agriculture and Technology | India | Volume 13 Issue 8, August 2024 | Rating: 6.3 / 10
Predicting Humidity Levels by Applying Simple Regression Models in Greenhouses
Hrithvika Singh
Abstract: This research project aims to predict optimal humidity levels in greenhouses using machine learning models based on historical data collected on temperature and humidity. Through this project, we explore how to apply mathematical concepts such as statistics, linear regression, and algebra. The study compares the effectiveness of linear and polynomial regression models in predicting humidity levels. Sensors collect real time data, which is then processed using Python libraries. The results guide the automation of greenhouse systems, such as foggers, circulating fans, fan-pad system and sprinklers, ensuring precise environmental control. The integration with IoT technology enables remote monitoring and management, promoting resource efficiency and optimal plant growth conditions. website link: https://www.futuretechnurture.com
Keywords: machine learning models, green house, predicting humidity in green houses, regression model in green house operation, green house optimization
Edition: Volume 13 Issue 8, August 2024,
Pages: 437 - 446