Crop growth monitoring system

Abstract

The invention relates to a method based on crop growth monitoring. A data acquisition sensor, a monitoring unit, a gateway controller, a computer server, and a command execution sensor are comprised. The data acquisition sensor comprises a data acquisition module. The monitoring unit comprises a monitoring software module. The computer server includes a data calculation module. The data acquisition module comprises the data acquisition of 1-n, the data acquisition of external environment of 1-n, and the acquisition of control equipment 1-n. The data acquisition module also comprises an A crop and a B crop. An A index 1-n and a B index 1-n are obtained through the monitoring module. A result index 1-n is calculated through the data of multiple indexes 1-n in monitoring software. The data calculation module comprises a calculation conclusion index 1-n and a crop fertilizer data 1-n. The result index 1-n comprises an A private index 1-n, a B private index 1-n, and a public index variable 1-n.

Description

technical field [0001] The invention relates to the field of agricultural production, in particular to a method based on crop growth monitoring. Background technique [0002] In recent years, with the continuous intelligence of equipment, the demand for industrial equipment applications has continued to increase, and the control has become more and more complex, and the amount of data has also continued to increase. There are more and more monitoring equipment in other fields such as industry. Compared with the agricultural field, There is always a lack of a more effective method to monitor crops. The existing agriculture is still at the stage of planting based on experience. Although automation has achieved certain results; but for the real-time situation of crop growth and pest prevention, there is no system that can effectively monitor crops and automatically monitor crops. Fertilization, such as whether there is insufficient light, whether there is water shortage, etc., ...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the continuous intelligence of equipment, the demand for industrial equipment applications has continued to increase, and the control has become more and more complex, and the amount of data has also continued to increase. There are more and more monitoring equipment in other fields such as industry. Compared with the agricultural field, There is always a lack of a more effective method to monitor crops. The existing agriculture is still at the stage of planting based on experience. Although automation has achieved certain results; but for the real-time situation of crop growth and pest prevention, there is no system that can effectively monitor crops and automatically monitor crops. Fertilization, such as whether there is insufficient light, whether there is water shortage, etc., when to automatically water; the relationship between crops and other natural factors is intricate. Management of crop planting, the growth rate of many precious crops is greatly reduced due to the absence of relevant professionals; agricultural crops are difficult to maintain, and as the number of crops increases, the need for maintenance becomes more and more difficult, so for data analysis become more difficult

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