A detection system for agricultural products planting environment based on big data

Abstract

The invention discloses an agricultural planting environment detecting system based on big data, and the system comprises a cloud server, a species type input module, and a soil detecting module, an environment detecting and analyzing module, an image acquiring module, a screening processing module, a feature extracting module, a data storage library and a display terminal, which are connected tothe cloud server, wherein the data storage library is respectively connected to the species type input module and the environment detecting and analyzing module, and the screening processing module isrespectively connected to the image acquiring module and the feature extracting module. According to the detected planting environment, the agricultural planting environment detecting system based onbig data provided by the invention can count the influence of growth of agricultural products at each growth stage to provide reliable reference data for the comprehensive evaluation of the growth ofthe agricultural product in the later stage, can comprehensively evaluate the comprehensive prediction reaction coefficient of the quality of the agricultural products, has the characteristics of high detection accuracy and high analytical accuracy, provides guiding reference data for planting personnel to plant various agricultural products in the later stage, and is convenient for improving thequality of agricultural products and promoting the development of agricultural products.

Description

technical field [0001] The invention belongs to the technical field of agricultural informatization, and relates to a big data-based agricultural product planting environment detection system. Background technique [0002] With the continuous improvement of people's living standards, people's pursuit of the quality of agricultural products is gradually increasing. The quality of agricultural products is mainly affected by the growth status of agricultural products at various stages of growth. The factors that affect the growth of agricultural products mainly include the content of various elements in the soil, temperature and humidity. As well as light intensity, etc., in the process of planting existing agricultural products, the planting environment of agricultural products is the natural environment, and the planters perform operations such as fertilization and watering on agricultural products according to planting experience, and control the growth of agricultural produc...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a large data-based agricultural product planting environment detection system, which collects the nitrogen content, phosphorus content, potassium content, calcium content and magnesium content in the soil as well as the temperature and humidity corresponding to each soil depth through the soil detection module , the environmental detection and analysis module collects the light intensity of agricultural products, the light intensity level corresponding to the light intensity, and the light time corresponding to each light intensity level, and combines the influence coefficient of the growth hindrance of agricultural product types at each growth stage of agricultural products in combination with the cloud server. At the same time, evaluate the agricultural product The quality comprehensive estimation response coefficient solves the problem of the inability to analyze the impact on the growth of agricultural products according to the planting environment parameters in the process of planting existing agricultural products, and the problems of poor quality stability of agricultural products and poor detection and analysis accuracy. Provide guiding reference data for planting various agricultural products

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