A crop growth monitoring platform and monitoring method based on the Internet of Things

Abstract

The invention discloses a crop growth monitoring platform based on the Internet of Things. The monitoring platform comprises N remote data acquiring sites, at least one remote data sending terminal, a remote data storage server, a crop growth monitoring center and a monitoring data browsing terminal, wherein N is the natural number greater than and equal to 1; each remote data acquiring site is connected with the remote data sending terminal in a wire or wireless way; the remote data sending terminal is used for uploading the environment information data of the crop growth acquired by the remote data acquiring site to the remote data storage server; the remote data storage server is respectively communicated with the crop growth monitoring center and the monitoring data browsing terminal; the monitoring platform is used for uploading and feeding back the environment information data by networking in a single-hop or multi-hop way.

Description

technical field [0001] The invention relates to the technical field of agricultural informatization, in particular to an Internet of Things-based crop growth monitoring platform and a monitoring method thereof. Background technique [0002] At present, my country has a vast crop planting area. Due to too little investment in infrastructure equipment and backward technology, the crop planting process mainly relies on manpower for cultivation and management. Many areas where farmland is planted have poor economic conditions and harsh geographical environments, and management is scattered and automated. The degree is not high, and the work efficiency is very low. For example, the degree of intelligent monitoring and management of the fertilization process during the crop growth period is relatively low. Grow in a good environment. Most places use manual monitoring, which cannot conduct comprehensive real-time monitoring and management of the whole process of crop growth. This is...

AI Technical Summary

Problems solved by technology

[0002] At present, my country has a vast crop planting area. Due to too little investment in infrastructure equipment and backward technology, the crop planting process mainly relies on manpower for cultivation and management. Many areas where farmland is planted have poor economic conditions and harsh geographical environments, and management is scattered and automated. The degree is not high, and the work efficiency is very low. For example, the degree of intelligent monitoring and management of the fertilization process during the crop growth period is relatively low. grow in good environment

Most places use manual monitoring, which cannot conduct comprehensive real-time monitoring and management of the whole process of crop growth. This is not only inefficient, but also labor-intensive, which has a certain impact on crop growth management and yield.

Therefore, in order to maintain a high yield of crops, it is necessary to intelligently monitor the whole process of crop growth. Only by manually measuring the environmental data of crop growth, the workload is heavy, the efficiency is low, and the monitoring data lacks real-time performance.

Environmental changes during the growth of crops and changes in various nutrients in the soil, setting the appropriate time and amount of fertilization for crops, and reasonable and appropriate irrigation of crops have a great impact on their growth and yield. Therefore, the realization of crops The intelligent monitoring system of the whole growth process is of great significance. At present, there are few researches on the growth monitoring platforms of various crops, diseases and insect pests, growth status, yield, quality and pesticide application, fertilization, planting, and sales, and they cannot satisfy consumers. Real-time tracking and query of crop planting process and collection and analysis of monitoring data

Therefore, we cannot better implement scientific guidance and prevention and control in the whole process of large-scale planting of crops. Due to the lack of modern information collection and network processing platforms, the depth and breadth of research in the field of agricultural planting technology are greatly restricted

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