Planting greenhouse intelligent monitoring system and method

Abstract

The invention discloses a planting greenhouse intelligent monitoring system and method. The planting greenhouse intelligent monitoring system comprises a greenhouse frame body, a turnover transparent ceiling, a square guide rail which is laid at the top of the greenhouse, an S-shaped guide rail of the greenhouse ground, a speed control trolley on the square guide rail and a movable trolley on the S-shaped guide rail. The planting greenhouse intelligent monitoring system is characterized in that the bottom of the speed control trolley is provided with a wireless signal module and a sprinkler; the top of the movable trolley is provided with a wireless signal module and a camera, the speed control trolley, the sprinkler, the movable trolley and the camera are all connected to a computer through wireless signals, the greenhouse is internally provided with a humidity sensor, a temperature sensor and a carbon dioxide sensor, and all the sensors are connected to the computer through a bus. According to the planting greenhouse intelligent monitoring system and method, accurate spraying of manure and water to greenhouse crops can be achieved, and real-time monitoring of a planting area can be effectively achieved; meanwhile, the manpower and financial resources are sharply saved.

Description

technical field [0001] The invention relates to crop remote intelligent monitoring technology, in particular to an intelligent monitoring method and system for planting greenhouses. Background technique [0002] Through the investigation of planting resources, the timely supply of fertilizer and water plays an important role in the planting of crops. In recent decades, although the traditional planting industry has undergone major changes, due to terrain and other factors, the degree of mechanization of the planting industry is still low. Most growers' spraying of crop fertilizers and water is mainly determined by the growers' experience and habits. The timing of spraying is to manually complete the spraying operation of fertilizer and water. However, empirical and habitual judgments vary from person to person and are unstable; and due to the loss of rural labor force, the per capita planting area increases and the variety of crops increases, making it difficult to manually...

AI Technical Summary

Problems solved by technology

In recent decades, although the traditional planting industry has undergone major changes, due to terrain and other factors, the degree of mechanization of the planting industry is still low. Most growers' spraying of crop fertilizers and water is mainly determined by the growers' experience and habits. Spraying timing, the fertilizer and water spraying operation is done manually

However, empirical and habitual judgments vary from person to person and are unstable; and due to the loss of rural labor force, the per capita planting area increases and the variety of crops increases, making it difficult to manually complete the decision-making of fertilizer and water spraying timing for large-scale crop groups and spraying operations

In addition, manual repetitive labor can easily lead to fertilizer and water spraying timing decisions and fertilizer spraying errors. This inaccurate, unstable manual decision-making method and inefficient manual spraying method will seriously affect crop harvests, resulting in waste of time and materials. , which is not conducive to the growers economically and timely remedial

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