Cotton yield prediction method and system

Abstract

The invention discloses a cotton yield prediction method and system. The method comprises the following steps: measuring a leaf area index, a chlorophyll value and a net photosynthetic rate of a leafof a cotton plant to be predicted; determining the dry matter weight of the overground part of the cotton plant to be predicted by adopting a drying method; Obtaining the cotton boll shedding rate ofthe cotton plant to be predicted; obtaining a nitrogen fertilizer application amount, a phosphorus fertilizer application amount and a potassium fertilizer application amount in the planting soil of the cotton plant to be predicted; Detecting the organic matter content of the planting soil of the cotton plant to be predicted; And according to the leaf area index, the chlorophyll value, the net photosynthetic rate, the dry matter weight, the shedding rate, the nitrogen fertilizer application amount, the phosphorus fertilizer application amount, the potassium fertilizer application amount and the organic matter content, predicting the cotton yield through an optimal regression equation of a yield predicted value. According to the method, the cotton yield can be objectively and accurately predicted, the prediction period is shortened, and the method has important significance for guiding cotton production.

Description

technical field [0001] The invention relates to the field of cotton yield prediction, in particular to a cotton yield prediction method and system. Background technique [0002] For a long time, my country's cotton production has shown instability. The problems of "undersupply" and "oversupply" have repeatedly appeared. The phenomena of "difficulty in selling cotton" and "difficulty in buying cotton" appear alternately, which makes cotton production fall into the changes of "supply in short supply" and "supply in excess of demand". [0003] The fluctuation of cotton planting area, price and yield and climate change have become important factors affecting my country's total cotton output. In addition to the decision-making behavior of producers and consumers being greatly affected by this, the unbalanced development of the world cotton market and the national economy is also influenced by. Timely and accurate provision of cotton monitoring and early warning information and ...

AI Technical Summary

Problems solved by technology

[0004] However, the existing methods for identifying cotton yield generally use stepwise regression to analyze the factors that affect yield. etc. Such an identification method needs to wait until the cotton harvest period, which makes the identification period of cotton production longer

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