Citation :

Adewale Abayomi Alabi, Bolarinwa Samson Adeleke, Taiwo Ganiyu Fawole, 2023. "Environmental Factors Independent System for Plants’ Growth" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 1, Issue 1: 06-10.

Abstract :

Due to incessant increase in global population and unpredictable nature of environmental conditions, food availability to meet population demand has become a threat. This menace to human populace will continue until serious efforts are shifted to controlled environmental agriculture (CEA) and ensure there is urgent change of food production systems. Conventional greenhouses have not been able to combat this menace effectively because its result still depends on weather conditions which vary constantly. Since predictions of weather conditions are not usually 100% accurate, it is difficult to plan ahead all the time. This model is proposed to adopt Wireless Sensors Network (WSN) with its nodes deployed to sense and gather available plants’ growth factors as data (temperature, humidity, light intensity, moisture and carbon dioxide) per time. These data are fed into microcontroller which had been programmed to correspondingly control actuators which are readily at work to change to plants’ needed growth factors per time according to preset data in the microcontroller.

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Keywords :

Microcontroller, Wireless Sensors Network, Greenhouse.