Apple yield prediction method and device, storage medium and electronic equipment

Abstract

The invention provides an apple yield prediction method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining to-be-predicted data; the to-be-predicted data comprises disaster sample data in a target time period and meteorological sample data of each day; inputting the to-be-predicted data into a yield prediction model, and obtaining an apple yield prediction result in a to-be-predicted time period; the disaster sample data in the target time period and the meteorological sample data of each day are used for predicting the apple yield in the to-be-predicted time period of the same year; the yield prediction model is obtained by training a plurality of pieces of sample data, and each piece of sample data comprises disaster sample data in a preset time period, meteorological sample data of each day and apple yield sample data of the same year as the preset time period. According to the apple yield prediction method provided by the invention, the problem that the current apple yield prediction method does not have universality and cannot accurately predict the apple yield is solved.

Description

technical field [0001] The present application relates to the field of agricultural technology, in particular to a method, device, storage medium and electronic equipment for predicting apple yield. Background technique [0002] China is the world's largest apple producer and consumer, with apple planting area and output accounting for more than 40% of the world's total, occupying an important position in the world's apple industry. The current apple yield forecasting methods usually only consider common meteorological factors such as temperature, precipitation, and light, and the selected meteorological factors are limited by regions and climates. Therefore, the current apple yield forecasting methods are not universal, accurate and objective. Forecasting apple production. Contents of the invention [0003] The embodiment of the present application provides a method, device, storage medium and electronic equipment for predicting apple yield, which solves the problem that...

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a method, device, storage medium and electronic equipment for predicting apple yield, which solves the problem that the current apple yield forecasting method is not universal and cannot accurately predict apple yield

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