Implementation of a Smart Shaded Plant House with Arduino Microcontroller and IoT for Optimal Plant Growth using Fuzzy Logic Control.

Greenhouse horticulture's main purpose is to produce a comfortable indoor environment that encourages plant development. As a result, it promotes off-season crop farming and cultivation in areas where the natural environment is unsuitable for some types of flora. The proposed project in this study focuses on tomato cultivation where there is still minimal cultivation since the process is difficult to control and requires low temperatures, such as in some upland areas, to allow high quality and fast growth. Several essential characteristics that determine the quality of plant development and production, including as temperature, humidity, soil moisture, and the amount of sunlight that penetrates the plant house, will be monitored, and managed automatically in this project. The temperature and humidity sensor (DHT11), soil moisture sensors (YL - 69), ultraviolet (UV) sensor, 12 V water pump, 12 V Peltier module with heatsink, 26 W LED plant grow strip lights, and switchable glass that blocks 98% of UV rays are some of the most important components used in this study. According to the findings of the experiments, tomato plants cultivated with this prototype develop faster and healthier, even in high-temperature agricultural locations. Furthermore, this project can use IoT to control and safeguard tomato crops from being exposed to excessive ultraviolet radiation and pests by using applications installed on smart phones. Experimental results show that tomatoes grown in the suggested greenhouse system, the Smart Shaded Plant House, grow more quickly than tomatoes grown using traditional methods. By constantly monitoring these environmental variables, farmers can learn more about how each aspect affects growth and how to manage maximum crop productivity while growing certain vegetables and fruits in hot agricultural areas.