Method for dynamically predicting potential productivity of paddy rice based on geographical information system

Abstract

The invention discloses a method for dynamically predicting potential productivity of paddy rice based on a geographical information system. The method comprises the following steps of: establishing a model library by using a program language; entering data required by model simulation into a database; progressively calculating photosynthetic potential productivity, light and temperature potential productivity, climatic potential productivity and land potential productivity layer by layer by sequentially selecting models in the model library and connecting the models with the database; counting according to a simulation calculation result; and selecting the most stable model combination for predicting the potential productivity of the paddy rice at the area in the future. By coupling a paddy rice potential productivity calculation model with GIS, the model parameters are systematically processed, the model calculation is more efficient and the potential analysis is more accurate; and thus a more reliable technical method is provided for making decision on the productivity of the paddy rice and increasing both production and income with great significance for guarantee of grain security.

Description

technical field [0001] The technology of the invention relates to a method for dynamically predicting rice production potential based on a geographic information system (GIS). technical background [0002] Rice is an important fiber food crop and the main food crop in many countries and regions in the world. The production of rice has a decisive impact on the world's food security. Therefore, the prediction of rice production plays a very important role in the development of the food industry. status. [0003] In recent years, crop yield forecasting and yield increasing techniques have attracted widespread attention, and crop growth models have been developed rapidly. Crop growth model is a tool for dynamic quantitative analysis and growth simulation research of crops and their ecological factors as a whole by applying system analysis and computer technology, integrating crop physiology, ecology, agrometeorology, soil and other multidisciplinary research results. The crop ...

AI Technical Summary

Problems solved by technology

However, the rice production model is composed of a series of complex models with a large number of model parameters and different categories. It is difficult to make a decision on the model combination selection, and the calculation of the model is still a huge project, which requires a lot of manpower and time.

Although computers have been able to replace people in many tedious and complicated calculations, there is still no simple and convenient method to solve the two major problems of determining the rice production model and calculating the rice model.

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