Agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply

A technology for crop water demand and soil water content, applied in the development and utilization of water resources, and agricultural fields, can solve the problems of agricultural drought monitoring, assessment and early warning without a meteorological system, combined with meteorological forecasts, and without crop system analysis, etc., to achieve reliable data. effect based on

Inactive Publication Date: 2019-09-06
INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
View PDF3 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] To sum up, the problems existing in the existing technology are: my country’s domestic agricultural drought monitoring and early warning system is based on soil water content, and there is basically no systematic combination of meteorological system and crop water demand law to carry out agricultural drought monitoring, assess

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply
  • Agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply
  • Agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0036] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0037] like figure 1 As shown, the agricultural drought disaster monitoring and forecasting system based on crop water demand and soil water supply provided by the embodiment of the present invention includes: crop water demand information collection module 5, soil water supply information collection module 6, data center 3, weather forecast module 1, drought situation Forecast module 2, drought analysis module 4.

[0038] The crop water demand information collection module 5 is connect...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of agriculture and water resource development and utilization, and discloses an agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply, which comprises a crop water demand information acquisition module, a soil water supply information acquisition module, a data center, a meteorological forecasting module,a drought forecasting module and a drought analysis module. According to the method, through crop water shortage index calculation and crop water profit and loss prediction calculation in future predetermined time in different regions, the water shortage condition of crops can be comprehensively evaluated, and a reliable data basis is provided for analysis and evaluation of drought conditions. According to the invention, a meteorological system and a crop water requirement law are combined for development, including agricultural drought comprehensive prediction, monitoring, scientific assessment and early warning, so that water resources can be reasonably allocated to cope with drought, and the method has very important theoretical and practical significance for solving the drought and promoting crop growth.

Description

technical field [0001] The invention belongs to the fields of agriculture and water resource development and utilization, and in particular relates to an agricultural drought disaster monitoring and forecasting method based on crop water demand and soil water supply. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: my country is a large agricultural country, and the huge population base forms a rigid constraint on the food requirements. However, my country's special geographical features and regional climate make agriculture face many natural disasters. Drought is one of the main natural disasters affecting my country's agricultural production, and the annual grain loss due to drought accounts for half of the total grain loss in the country due to disasters. This is due to the fact that the majority of farmers have always had the idea of ​​relying on the weather for food. On the other hand, the decision-making...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06Q50/02
CPCG06Q10/04G06Q50/02
Inventor 覃志豪王斐范锦龙李文娟
Owner INST OF AGRI RESOURCES & REGIONAL PLANNING CHINESE ACADEMY OF AGRI SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products