Intelligent variable rate fertilizer for rice and variable rate fertilization method thereof

Abstract

The invention discloses an intelligent variable rate fertilizer for rice and a variable rate fertilization method thereof. In the technical scheme of the variable rate fertilizer, a hyperspectral remote sensing system and an image acquisition system are arranged on the front end of a traction engine body; a variable rate fertilization unit is arranged on the upper part of a support rack; a fertilizer spreading mechanism is connected with the variable rate fertilization unit and is arranged on the lower part of the support rack; a speed measuring sensor is arranged on a ground wheel; the variable rate fertilization unit and the fertilizer spreading mechanism are both connected with a hydraulic drive system; a GPS antenna and a GPS mobile station which can communicate with the hyperspectral remote sensing system and the image acquisition system are arranged in the traction engine body; and a control system is used for processing data and controlling the actuation of the variable rate fertilization unit and the fertilizer spreading mechanism. The variable rate fertilization method realizes real-time detection of the contents of N, P and K in rice through information fusion of the hyperspectral remote sensing system and the image acquisition system, and can achieve the rice fertilization according to needs based on nutritional profits and losses. The invention has the advantages of accurate fertilization and good controllability, and is suitable for fertilization in the rice growing period.

Description

technical field [0001] The invention relates to a variable fertilization technology for fertilization in the growing season of rice, in particular to an intelligent variable fertilization machine for rice and a variable fertilization method thereof. Background technique [0002] Precision agricultural variable fertilization technology (referred to as precision fertilization or variable fertilization) is a fertilization technology with the support of crop growth model and crop nutrition expert system, aiming at high yield, high quality and environmental protection. It requires nutrient balance research on agricultural ecosystems, so that Realize on-demand fertilization due to differences in crop nutrient levels in each operation unit, effectively control the input and output of nutrients in the material cycle, reduce environmental pollution and damage from chemical fertilizers, greatly improve the utilization rate of fertilizers, and reduce production costs. Increased farmers...

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Problems solved by technology

However, most of the current studies only use a single technical means, such as spectral remote sensing technology or machine vision technology to collect crop growth status information, the accuracy and reliability of information collection is not high, and the research direction is mainly concentrated on crops such as wheat, soybean, tomato, etc. Fertilization and pesticide application, but the application research results of the multi-information fusion technology of hyperspectral remote sensing and machine vision to the variable fertilization of rice growth period have not been reported.

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