With the continuous advancement of intelligence, the arable land area of the city has been decreasing, and the demand for vegetables has been increasing. This has put forward higher supply requirements for the vegetable industry in N city. The rational development of smart greenhouses can give play to the advantages of the vegetable industry in N, which will result in higher economic and social benefits. The purpose of this paper is to explore the value of smart greenhouses by studying and analyzing the growth of tomatoes in greenhouse environmental intelligent control systems. This paper first studies the specific design of the smart greenhouse system, proposes and plans the system architecture, the related technology used in the system, and then proposes a sequential learning algorithm of the metacognitive interval T-S/2 neural network inference system. The algorithm can quickly reduce the system calculation interval and metacognition order to achieve higher economic benefits. Next, this article uses tomatoes to study the growth and production of tomatoes in smart greenhouses in N city. The tomatoes were placed in the three environments of open field, steel frame greenhouse and smart greenhouse environment for a comparative study of maturity. Then, the detailed research records of the output value, cash income, net profit and output value of tomato in three different environments were carried out to reveal the input-output relationship of the cultivation of greenhouse greenhouses in N city. Finally, the conclusion was drawn: wisdom greenhouse greenhouse Compared with the other two traditional cultivation methods, it can greatly increase the yield and profitability of tomatoes, and can generate greater economic benefits.

Yuqi Zheng. The Influence of the Design of Environmental Intelligent Control System in Greenhouses on the Growth of Tomatoes. International Journal of Engineering Technology and Construction (2021), Vol. 2, Issue 2: 27-43. https://doi.org/10.38007/IJETC.2021.020203.

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