On-line crop water stress irrigation decision monitoring system

Abstract

The invention relates to an on-line monitoring system for the decision-making of the cropcanopy temperature difference irrigation, and is characterized in that the invention consists of a data processing device, an infrared canopy temperature monitoring device and a lightning-proof device. The data processing device consists of a data collector, a data memory and a personal computer. The data collector is connected with the personal computer through an Ethernet switch. The infrared canopy temperature monitoring device consists of a set of high-speed tripod heads, inside which an infrared canopy temperature sensor is arranged. The high-speed tripod heads are dispersedly arranged in a crop field through an upright stanchion of the bracket, wherein, at least one upright stanchion of the bracket is arranged with an environment temperature sensor, and the high-speed tripod head and the infrared canopy temperature sensor are connected with the data processing device through an RS485 bus. The lightning-proof device consists of a power lightning-proof facility, a bus lightning-proof facility and a communication lightning-proof facility. The invention has a flexible operation, and can conduct a realtime monitoring to the variation law of the cropcanopy infrared temperature at any point in a small area through the sensors arranged at different areas in the field.

Description

technical field [0001] The invention relates to a monitoring system, in particular to an online decision-making monitoring system for crop canopy temperature difference irrigation. Background technique [0002] Under the dual constraints of water resource shortage and ecological environment, agricultural water use must be developed in a precise and accurate direction. Precision irrigation is a high-efficiency water system that considers the "timely" and "appropriate" crop irrigation. As the cutting-edge technology of modern water-saving agriculture, precision control irrigation technology needs to develop intelligent irrigation information collection devices and intelligent irrigation forecast and Decision support software. Field crop irrigation decision-making indicators generally include three categories: soil moisture, meteorological indicators and crop response. Because soil and soil moisture are the carriers for crop growth, the traditional method is to make irrigati...

AI Technical Summary

Problems solved by technology

However, in the actual application and monitoring methods of field irrigation, the canopy temperature difference index has not been used for real-time irrigation decision-making and control in the field, because the real-time monitoring and automatic data collection of this index have not been solved.

In the past, handheld infrared temperature guns were used to observe crop canopy infrared temperature. Data errors and systematic errors

In addition, there are few continuous observations and studies of crop canopy temperature during the day and night

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