Potato planting Internet-of-things monitoring, control and information service cloud platform integrated system

Abstract

The invention belongs to the technical field of agriculture Internet-of-things, in particular to a potato planting Internet-of-things monitoring, control and information service cloud platform integrated system. The system mainly comprises an environmental monitoring terminal, an irrigator controller, a growth picture collector, an Internet-of-things intelligent control all-in-one machine, an Internet-of-things information service cloud platform, the Internet and customer terminal equipment. The potato planting Internet-of-things monitoring, control and information service cloud platform integrated system can receive planting monitoring information in real time, and carry out security data storage, equipment control and massive data cloud computing drawing; for massive potato growth environmental data, the cloud computing capacity and an optimization algorithm of a cloud platform are used for rapidly generating a potato growth data statistical table, and the decision basis is provided for the amount and quality of purchase of a purchaser; collected pictures of the process from planting to harvesting of potatoes are analyzed through a pattern recognition technology, and the seedling hardening period and the blossom period are marked; an on-site irrigation and fertilization system can be manually or automatically controlled remotely, a planting environment is adjusted in time, loss is reduced, and yield is increased.

Description

technical field [0001] The invention belongs to the technical field of the agricultural internet of things, and in particular relates to a cloud platform comprehensive system for network monitoring, control and information service of potato plants. Background technique [0002] my country is a large agricultural country. According to statistics, the potato planting area in my country has expanded to about 80 million mu, and the total assets have reached more than 80 million tons, accounting for about 26% of the world's total output. Due to the lack of real-time monitoring of the potato growth process, water shortage, high and low temperature conditions, remedial measures were not taken in time, resulting in a decline in yield. Irrigation is now basically controlled manually, and the soil moisture also depends on people's visual inspection. Due to the large planting area, manual monitoring is time-consuming and laborious, and the accuracy error is large. [0003] Now there a...

AI Technical Summary

Problems solved by technology

Due to the lack of real-time monitoring of the potato growth process, water shortage, high and low temperature conditions, remedial measures were not taken in time, resulting in a decline in yield

Irrigation is now basically controlled manually, and the soil moisture also depends on people's visual inspection. Due to the large planting area, manual monitoring is time-consuming and laborious, and the accuracy error is large.

[0003] Now there are software and hardware systems for land moisture collection in the market, which can only send the collected data to the server, and establish a connection between on-site users and planting sites. There is no Internet public platform, and the processing is single. The existing technology is basically about the temperature and humidity collection of plastic greenhouses.

[0004] Now there is an irrigation system in the market, which can only achieve water shortage irrigation, which cannot meet the different periods of potato planting. The indicators of irrigation time and irrigation volume are controlled according to soil humidity and soil temperature.

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