Agricultural pest and growth condition forecasting, prevention and control Internet of things and method

Abstract

The invention discloses an agricultural pest and growth condition forecasting, prevention and control Internet of things, which consists of an agricultural pest and growth condition information acquirer, an information transmission network and an agricultural pest and growth condition forecasting, prevention, control and research center. In an agricultural pest and growth condition forecasting, prevention and control method, a method for acquiring comprehensive agricultural pest and growth condition information, software for processing the comprehensive information and a forecasting, prevention and control expert system database are provided. The agricultural pest and growth condition forecasting, prevention and control Internet of things is constructed creatively; a high-efficiency, high-quality and standardized informationization platform is supplied to develop deep research on various agricultural, forestal, animal husbandry and fishery pests and growth conditions in a large area, and agricultural informationization can be realized really in a large area, so that pests can be prevented and controlled designedly and timely step by step; furthermore, agricultural planting is instructed, and fertilizers are used rationally; therefore, pollution to the environment is reduced greatly, the insecticide resistance of the pests is reduced, and the agriculturally sustainable development is promoted greatly.

Description

technical field [0001] The invention relates to the field of agriculture and rural informatization, especially the Internet of Things. Background technique [0002] As we all know, agriculture is an industry that produces food and industrial raw materials through the cultivation of animals and plants, including four major categories: agriculture, forestry, animal husbandry, and fishery. The present invention relates to these four major categories of agriculture, wherein agriculture (crops), forestry (forestry, grassland) take plants as objects, animal husbandry (animal husbandry), fishery (breeding) take animals as objects, and the scope involved includes actual The content of agriculture and its research, and the content is centered on agricultural diseases and insect pests and growth conditions. [0003] In terms of animal husbandry and breeding, there is a lack of technology and high drug residues. With the widespread application of antibiotics, chemically synthesized d...

AI Technical Summary

Problems solved by technology

[0006] (1) The means of collecting and processing information on pests and growth conditions are basically manual, which is time-consuming and laborious, resulting in lag and errors in pest prediction and forecasting;

[0007] (2) Outdated, passive and inefficient means such as radio and television, fax, mail and writing are used for information transmission, which seriously lags behind the forecasting and prevention of pests and diseases;

[0008] (3) There is a lack of systematic research on the relationship between various diseases and insect pests, growth status, yield, quality, pesticide application, fertilization, and cultivation of various crops, especially the lack of systematic research and the establishment of expert databases, so it is impossible to achieve real-time Moderately and long-term implementation of scientific guidance and prevention and control of various crops in the whole process of large-scale planting;

[0009] (4) Due to the lack of a modern information collection and network processing platform, the depth and breadth of research in the field of agricultural plant protection are greatly restricted

[0015] At present, some places build monitoring systems, or monitoring systems for the purpose of crop image processing (such as patent 201010253635.4 "Automatic Monitoring System for Crop Disease and Pest Pest Image Information Based on the Internet of Things"), which are only means to characterize the single nature of crops, not to mention the existing The technical image resolution of the monitoring system is low, it is difficult to maintain in the field, and it is difficult to collect effective images. In fact, it cannot play a real or systematic role

[0016] (2) Most of the new technologies are only a single preliminary study on individual diseases and insect pests of individual crops, and have not yet been applied and promoted on a large scale;

[0017] (3) The collection, analysis, and processing of information have not yet been realized, and the degree of damage caused by diseases and insect pests, and the prevention and control plan are associated with the establishment of a forecasting and prevention expert database

In fact, the backward information collection, transmission and processing technology seriously restricts the research work in this area, so it is impossible to establish an effective expert system database.

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