Corn seed selection and precise sowing decision-making method combined with knowledge graph

Abstract

The invention discloses a corn seed selection and precise sowing decision-making method combined with a knowledge graph, and the method comprises the following steps: a), obtaining corn variety data through a web crawler, and extracting variety feature information; b) establishing a corn seed selection knowledge framework, and constructing a knowledge graph; c) preliminarily screening varieties according to a sowing area, and then determining the varieties by utilizing a mahalanobis distance algorithm according to soil nutrients; d), obtaining sowing decision data through a GPS and a field acquisition technology; e) dividing grids by using Kriging interpolation and determining interpolation points; f) determining the grid seeding rate according to a decision formula; and g) generating a shapefile format seeding rate prescription map. The method has the beneficial effects that the method completely comprises the seed selection and sowing processes in the corn sowing decision, constructs the knowledge graph to carry out seed selection decision on the corn, generates the corn sowing quantity based on the mutual influence of the farmland environment and the variety characteristics, and comprehensively utilizes the influence of production factors on the corn sowing decision.

Description

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AI Technical Summary

Benefits of technology

This patented describes two methods: one uses an online system called Corn Selection Method (CSM) that combines different databases together like Yellow Pixie Database or National Research Institute Network Reference Model (NRR), allowing users to select specific crops based on their location within these networks. Another approach involves optimizing rootstock structure by analyzing genetic relationships between plants grown under various environments over time. These techniques help improve crop yields while reducing damage caused from pests and insect infestation during growing operations.

Problems solved by technology

This patented describes how precise crop management can be achieved by selecting specific plants for better growth or reducing waste during harvesting operations. Current methods have limitations with regard to determining which variety should receive more water than others due to their different environmental requirements and unknown root systems that may affect crops' ability to absorb nutrients from roots.

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