Implementation of Greenhouse Service Control Protocol Using Raspbery-Pi
The term "greenhouse" refers to a controlled atmosphere in which plants are cultivated. To achieve optimal plant development, greenhouse systems must continuously monitor and regulate environmental factors such as temperature, soil moisture, light intensity, humidity, and others. A greenhouse provides a year-round climate for growing plants, even on cold, gloomy days.
This project's major goal is to develop a basic, low-cost system that continually updates and controls the value of environmental parameters in order to ensure optimal plant development. Precision agriculture uses a variety of approaches to monitor and regulate the environment for the growth of numerous crops.
It is difficult to meet the needs of farmers to manage water evenly due to the unequal distribution of rain water. This necessitates various irrigation methods that are suited for every weather condition, soil type, and diversity of crops. Finding a strategy that provides flawless analyzing and regulating in order to build a proper atmosphere is more vital.
Agriculture is one of the many areas where ICT technology is frequently used. The majority of equipment and greenhouses in the agriculture industry still rely on outdated serial connection methods. Several technical implementations of communications and information, such as internet and Bluetooth are becoming more widely used, yet they are still incompatible. Korea is working on a set of standards to ensure that various vendors can communicate with one another. For Protocol of Link- Control to be standardized, which is not dependent on infrastructure of network underlying, may be used to offer fundamental interoperability. We created a protocol of controlling the service on basis of protocol of Link-Control and implemented it using Python in this article.
Ultimately, this protocol method of controlling and monitoring makes very much easier for the user to perform the greenhouse service through the Haar's technique for python with AI libraries.
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