Crop growth monitoring method and system based on big data and cloud computing

A crop and cloud computing technology, applied in the field of agricultural ecological environment monitoring methods and systems, can solve problems such as poor planting model replication ability, excessive fertilizer application, excessive pesticide residues in products, etc., and achieve the effect of improving the level of modern technology and management.

Inactive Publication Date: 2019-12-06
HENAN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There is no unified reference basis for management. Fertilization, irrigation and other operations are relatively random. It is impossible to know exactly when to fertilize and when to irrigate. And the water shortage is relatively serious. At this time, re-watering has missed the best irrigation time. After timely irrigation, the yield of crops will also decline.
[0004] 2) When observing whether there are insects and weeds on the crops in the farmland, the farmers go to the edge of the field to observe. For the farmers, running back and forth between the farmlands is labor-intensive. , it is difficult for farmers to observe that by the time the pests are found, the pests have spread from the center of the farmland to the entire farmland
[0005] 3) Excessive application of pesticides and serious pesticide residues
The understanding of pest control is not scientific enough, and the timing and amount of pesticide application have no scientific basis
There are problems of wrong application timing, excessive application frequency, and excessive application amount, resulting in excessive pesticide residues in the product and increasing the burden of production costs
[0006] 4) Excessive application of fertilizers will seriously harm the environment
There is a lack of scientific monitoring of the physical and chemical status of the soil, and a lack of accurate grasp of the amount of fertilizer required by crops. Excessive application of fertilizers has caused soil compaction and groundwater pollution by fertilizer leaching.
[0007] 5) Irrigation management is not economical, and water resources are seriously wasted
There is no continuous monitoring and analysis of soil moisture content and corresponding indicators such as temperature, light, and transpiration, and the timing and amount of crop irrigation cannot be accurately grasped, resulting in waste of water resources
[0008] 6) The variety of planting is single, and it is impossible to properly sow crops according to the storage of local water resources. As a result, during the irrigation period of crops, farmers are rushing to irrigate. When the water source is insufficient, crops will die due to water shortage, resulting in farmers economic loss
[0009] 7) The ability to replicate the planting model is poor, which is mainly manifested in the fact that farmers work on their own, relying on their own experience and expert guidance for planting, and cannot learn and practice advanced planting methods as soon as possible, nor can they obtain corresponding planting experience in time

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  • Crop growth monitoring method and system based on big data and cloud computing
  • Crop growth monitoring method and system based on big data and cloud computing
  • Crop growth monitoring method and system based on big data and cloud computing

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the implementation manners in the present invention, all other implementation manners obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0043] see Figures 1 to 2 , the present invention provides a technical solution: the present invention provides an agricultural ecological environment monitoring system based on big data and cloud computing, the system includes: acquisition module, transmission module, storage module, agricultural ecological environment information analysis application module and agricultural The facility remote control module, the acquisi...

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Abstract

The invention relates to the technical field of computers and networks, in particular to a crop growth monitoring method and system based on big data and cloud computing. The system comprises an acquisition module, a transmission module, a storage module, an agricultural ecological environment information analysis application module and an agricultural facility remote control module; the acquisition module is used for acquiring various information in an agricultural ecological environment, and the transmission module is used for transmitting the acquired information to the storage module for storage. When the water storage capacity calculated by the water quantity acquisition unit is not enough to irrigate crops, at the moment, the agricultural ecological environment information analysis and application module gives an alarm to a user to remind the user of reducing agricultural objects with large water demand and replacing the agricultural objects with large water demand with the agricultural objects with crops capable of resisting drought, so that sufficient water sources are guaranteed, and the situation that the agricultural objects with large water demand are excessively planted, and consequently no water is available when the agricultural objects lack of water is avoided. Meanwhile, working behavior records of the planters are recommended, so that the planters are helped to obtain the optimal planting efficiency.

Description

technical field [0001] The invention relates to the technical field of computers and networks, in particular to an agricultural ecological environment monitoring method and system based on big data and cloud computing. Background technique [0002] With the development of society and the advancement of science and technology, the development of my country's agriculture is also getting faster and faster. However, at present, my country's agricultural production still faces the following problems: [0003] 1) The scale of producers is small and the products lack standards. Scattered farmers are mostly individual production units, while companies are few, and the production scale is relatively small. The problem is that agricultural production management tends to be individualized, and often a farmer manages several acres of farmland, orchards, and vegetable fields. There is no unified reference basis for management. Fertilization, irrigation and other operations are relative...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/38H04L29/08G06Q10/06G06Q50/02G06N3/08G08B7/06G08B25/08G01D21/02
CPCG01D21/02G06N3/08G06Q10/063G06Q50/02G08B7/06G08B25/08H04L67/06H04L67/10H04L67/12H04W4/38
Inventor 梁瑞华刘清娟朱晓宁张少辉王洪峰
Owner HENAN UNIVERSITY OF TECHNOLOGY
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