Smart Plant House for Better Growth: Arduino, IoT, Fuzzy Logic

What is it about?

The main goal of greenhouse gardening is to create a comfortable indoor setting that helps plants grow. So, it encourages farming of crops outside of their normal growing seasons and in places where the natural climate isn't good for some kinds of plants. The study's suggested project is all about growing tomatoes in places where they aren't grown much yet because the process is hard to control and needs cool temperatures, like in some mountain areas, to allow for fast and high-quality growth. In this project, temperature, humidity, soil moisture, and the amount of sunlight that gets into the plant house will all be automatically watched and controlled. These are some of the most important factors that affect how well plants grow and produce. Some of the most important parts used in this study are the temperature and humidity sensor (DHT11), the soil wetness sensor (YL-69), the ultraviolet (UV) sensor, the 12 V water pump, the 12 V Peltier module with heatsink, the 26 W LED plant grow strip lights, and the switchable glass that stops 98% of UV rays. The tests showed that tomato plants grown with this sample grow faster and better, even in places where it is very hot for farming. Also, this project can use IoT to protect tomato plants from too much UV light and pests by using apps on smart phones to control and monitor the plants. Scientists have done tests that show tomatoes grown in the Smart Shaded Plant House, the suggested greenhouse system, grow faster than tomatoes grown in the old-fashioned way. Farmers can learn more about how each of these natural factors affects growth and how to get the most out of their crops when growing certain fruits and veggies in hot areas by keeping an eye on them all the time.

Featured Image

Photo by www.zanda. photography on Unsplash

Photo by www.zanda. photography on Unsplash

Why is it important?

Author's Perspective on Uniqueness and Timeliness Our work on the "Implementation of a Smart Shaded Plant House with Arduino Microcontroller and IoT for Optimal Plant Growth using Fuzzy Logic Control" stands out in the current landscape of agricultural research due to its unique combination of technologies and the timely relevance of its contributions. Uniqueness: One key aspect that sets our work apart is the integration of fuzzy logic control into the smart plant house system. While various smart agriculture initiatives utilize microcontrollers and IoT, the incorporation of fuzzy logic introduces a level of adaptability and intelligence that is less common. Fuzzy logic allows the system to make decisions in a nuanced manner, considering the inherent uncertainties and complexities of the agricultural environment. This level of sophistication is a distinguishing factor that enhances the system's ability to optimize plant growth in a more refined and responsive manner. Additionally, our approach to shading within the plant house adds a layer of innovation. The smart shading system, facilitated by the Arduino microcontroller, dynamically adjusts to environmental conditions, ensuring that plants receive the optimal amount of light throughout the day. This adaptability is a crucial feature, especially considering the varying needs of different plant species and the changing weather patterns that can impact growth conditions. Timeliness: In the context of current global challenges, such as climate change, resource scarcity, and the need for sustainable agriculture, our work becomes particularly timely. The integration of IoT not only allows for remote monitoring and control but also contributes to the larger discourse on precision agriculture. This is increasingly important as we seek ways to maximize agricultural productivity while minimizing resource usage. Moreover, as the world faces the impacts of population growth and urbanization, the need for efficient and controlled environments for plant growth becomes more pronounced. Our smart shaded plant house addresses this need by providing a scalable and technology-driven solution that can be adapted for use in various settings, including urban agriculture and controlled-environment agriculture. By publishing our findings, we aim to contribute to ongoing conversations about the future of agriculture, emphasizing the role of technology in sustainable and efficient practices. The unique combination of technologies in our work, coupled with its timely relevance to current global challenges, positions it as a valuable and forward-looking contribution to the field. We believe that our work can inspire further exploration and discussion within the scientific community and beyond, ultimately making a meaningful difference in the quest for innovative and sustainable agricultural solutions.

Perspectives