An embedded system for evaluating plant growth based on plant electrical signals

With population growth, national grain still needs to import a lot every year, grain is a country’s economic lifeline, so we are now the first problem to solve is agriculture production, this paper proposes the method of analysis of plant electrical signals and discusses the relationship between plant electrical signal change and plant growth environment and growth state. Thus, the growth condition of plants can be judged by the electrical signals of plants, and the environmental factors can be adjusted quickly so that the growth condition of plants can be effectively controlled. In this paper, aloe vera is used as the experimental object to predict and evaluate the environment where the plant is located through plant electrical signals. Taking the assessment of the change of light intensity in the environment where aloe vera is located as an example, only the light intensity is changed, and the collection is carried out under the three light levels of 0%, 50%, and 100%. The FTP data site will be established for the three kinds of electrical signals collected. Realize plant electrical signal data storage and online acquisition. The embedded platform is built, the domestic RT-Thread real-time operating system is adopted for modular programming, and the MQTT transmission protocol is adopted to realize the data interaction between the embedded hardware platform and the Ali Cloud Internet of Things platform. Meanwhile, the WEB side of the Ali Cloud platform can control and monitor the environment incubator, which is convenient for laboratory staff to carry out experiments and maintain data.