A wide-area soil moisture detection system based on wireless network

Abstract

The invention provides a wide-area soil moisture content detection system based on a wireless network. Based on the rule that a microwave retrodirection coefficient and a soil dielectric constant are highly correlated to each other and the soil dielectric constant is in positive proportion to the soil moisture content, the soil moisture content is measured in a wide area by utilizing a multi-polarization microwave radar scatterometer in a microwave transmitting manner, and sample soil moisture content data, surface temperature data, vegetation coverage data, terrain geometric characteristic data and soil physical attributed data, which are acquired by a ground fixed detection device and an onboard detection device, are fed through the wireless network, so that fine correction can be carried out on the basis of the microwave real soil moisture content numerical value, and the detection data reflecting the soil moisture content of the entire wide area range and the soil moisture content of an individual local place can be finally acquired.

Description

technical field [0001] The invention relates to a sensing information technology suitable for agriculture, and more particularly relates to a wide-area soil moisture detection system based on a wireless network. Background technique [0002] Moisture content is the amount of water in the soil composition, usually expressed as a percentage. For agricultural production, soil moisture is an important indicator affecting plant growth. The soil with moisture index below 50% belongs to severe drought, which will cause the plants to stop growing until they dry up; the soil with moisture index below 60% belongs to mild drought, which will cause a certain degree of adverse effects on plant growth; the moisture index is 60%-80% The soil in this interval is suitable for plant growth; if the moisture content index is greater than 80%, it means that the soil moisture content is too high. If necessary, drainage measures should be taken, otherwise it may cause root corruption of plants. ...

AI Technical Summary

Problems solved by technology

This unreliability may be manifested as the atypicality of the sampling point itself, for example, the sampling point may be located in a waterlogged area, a backfill area, or an individual area with special vegetation density and soil composition, resulting in its sampling value being different from that of the surrounding area. The real moisture presents a difference that exceeds the normal range; especially the moisture sensor using the TDR or FDR measurement method has poorer resistance to external interference, and even factors such as stones near the measurement point will cause distortion, and only a few If the above-mentioned problems exist in the sampling points, it will have an impact on the calculation of the moisture content in the entire wide area

On the other hand, the unreliability lies in the fact that the existing system is only based on the algorithm of a certain general calculation model, combining the condition parameter values ​​of a specific wide area, such as the regional average temperature, average light conditions, etc., to adjust the parameters in the algorithm. Some weights, but not enough to allow the model to adequately match the true state of moisture over a specific wide area

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