Agricultural planting method and system based on internet of things

Abstract

The invention discloses an agricultural planting method and system based on internet of things; the method comprises the steps of acquiring natural environment information and planting alternation history information of a planting area; determining a planting scheme according to a preset database, the natural environment information and the planting alternation history information; planting cropsaccording to the planting scheme and the preset database; and acquiring real-time information of the planted crops to control diseases and pests. The method and system help achieve the effects of maximizing resource utilization, effectively controlling plant diseases and pests and providing good growth conditions for crops. The agricultural planting method and system based on internet of things are widely applicable to the technical field of agriculture.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to an agricultural planting method and system based on the Internet of Things. Background technique [0002] In recent years, with the national "three rural issues" proposed and the development and progress of science and technology, automation control has been more and more widely used in agricultural production. However, today's automatic control is established after planting crops, and automatic operations such as irrigation and fertilization are performed on the planted crops, and the amount of irrigation and fertilization is set based on human experience, so there are many shortcomings. For example, there is no prior analysis of the crops suitable for planting in the planting area, so the maximum utilization of resources in the planting area has not been achieved; the conditions required for the crops have been judged through artificial experience, and the growth conditio...

AI Technical Summary

Problems solved by technology

However, today's automatic control is based on the planting of crops, and automatic operations such as irrigation and fertilization of the planted crops are carried out, and the amount of irrigation and fertilization is set by human experience, so there are many shortcomings.

For example, there is no prior analysis of the crops suitable for planting in the planting area, so the maximum utilization of resources in the planting area has not been achieved; the conditions required for the crops have been judged through artificial experience, and the growth conditions required for the crops have not been accurately controlled; Real-time monitoring prevents pests and diseases from being controlled and seriously affects crop yields

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