Modelling and Analysis of Temperature and Humidity within a Greenhouse System

This research explored the various behaviors of climatic conditioning elements, weakness as well as ways to improve them. Remote  monitoring using Arduino Internet of a Thing (IoT) technology was implemented in the automated greenhouse environment used to gain  access to some necessary generated data. Implementation unit yield is of vital essence as population of people is on a steady rise,  food insecurity is invariably on the rise also. Means need to be developed to enhance agricultural output to meet up with the need of the  ever increasing-population of man. One of the main goals of this research is to improve efficiency to enhance agricultural productivity  and resource management by enabling real-time data-collection and control of crucial greenhouse parameters such as temperature and  humidity. With the integration of sensors like Dht11 and actuators connected to the Esp32 wroom-32 which we employed in this work.  This methodology helps to optimize crop growth conditions while overcoming the challenges posed by Nigeria's diverse climatic  conditions. The study evaluated the effectiveness of this remote monitoring approach in terms of improved crop yields, and system  efficiency thus contributing to sustainable and technology-driven agriculture in Nigeria. This hourly data was taken on Sunday, 31st  August 2023 at Ikole – Ekiti at the Faculty of Engineering. From analysis the percentage effectiveness of ambient temperature on this  rainy day for the selected crop was 70%. This trend deciphered inefficiency in the microclimatic element but could also end up  transforming the dreaded blue-collar agriculture to an attractive niche in the future.