A method and system for estimating nutrient release rate in controlled-release fertilizer farmland

Abstract

The invention discloses a method and system for estimating the nutrient release rate of a controlled-release fertilizer farmland. The method comprises the following steps of acquiring the daily release rate training data of controlled-release fertilizers and the influence factor training data of a local training field; training the support vector regression model according to the obtained trainingdata to obtain a plurality of trained meteorological group support vector regression models and a plurality of trained soil monitoring group support vector regression models; verifying the pluralityof trained models to obtain an optimal influence factor data set and an optimal support vector regression model; acquiring the influence factor test data of a local to-be-tested field; and inputting the influence factor test data into the optimal support vector regression model to obtain an estimated value of the daily release rate of the controlled release fertilizer in the local test field. According to the method, the daily estimation of the nutrient release rate of the controlled-release fertilizer can be realized, the estimation precision is high, the method can be combined with a crop growth model, the farmland management is further optimized, and the crop yield is increased.

Description

technical field [0001] The invention relates to the technical field of estimating the nutrient release rate of controlled-release fertilizers, in particular to a method and system for estimating the nutrient release rate of controlled-release fertilizers in farmland. Background technique [0002] In order to ensure food production, reduce labor costs, and reduce pollution and waste of chemical fertilizers, controlled-release fertilizers can basically synchronize the release of nutrients with the nitrogen absorption of crops under the coupling of water and heat, and can be applied at one time to meet the needs of crops. , which is conducive to the improvement of crop growth rate and yield, and the improvement of nitrogen fertilizer use efficiency. [0003] In order to accurately predict the yield of crops, mechanism models have been widely used, such as APSIM model, DSSAT model, DNDC model, etc., which can predict the growth of crops according to different farmland management...

AI Technical Summary

Problems solved by technology

[0004] At present, the nutrient release model used in estimating the nutrient release rate is usually a theoretical model obtained from laboratory experiments, but the soil temperature and water content are complex and changeable under field crop conditions, and the theoretical model cannot truly reflect the true state of nutrient release under field conditions; and currently Low sampling frequency in field trials makes it difficult to capture day-to-day changes in nutrient release

This leads to the low estimation accuracy of the existing methods for estimating the nutrient release rate of controlled-release fertilizers

Images