Method for rapidly calculating citrus yield through pictures

Abstract

The invention discloses a method for rapidly calculating citrus yield through pictures. The method comprises the following steps that S1, an intelligent terminal obtains a single citrus picture; S2, recognizing the single-plant citrus picture obtained in the step S1 through a network model, and returning a single-plant recognized fruit grain number n, a k (m) tree age coefficient and a k (w) treeform coefficient; S3, obtaining the citrus number through the following formula: P = n * [e [k (n) + k (m) + k (w)]- 1}]*[ln(x+1)]*y*z; Wherein P is the citrus yield, n is the number of fruit grains identified by a single plant, k (n) is the fruit grain coefficient, k (m) is the tree age coefficient, k (w) is the tree coefficient, x is the average single grain weight, y is the average plant numberper mu, and z is the number per mu. According to the method, pictures of single citrus trees in the fruiting stage are shot through the intelligent terminal, the number of citrus fruits is intelligently recognized, the fruit grains of the single citrus trees can be scientifically estimated according to the fruit grain coefficient, the tree age, the tree shape and the weight characteristics of thesingle citrus fruits, and the citrus yield in the planting area is accurately calculated.

Description

technical field [0001] The invention belongs to the field of image recognition and intelligent calculation of agricultural products, in particular to a method for quickly calculating citrus yields through pictures. technical background [0002] Before the citrus fruit is harvested, the number of citrus fruits produced by a single plant is generally obtained by counting or estimating, and then the yield is converted. In the existing method for calculating yield by estimation, it is generally obtained by multiplying the estimated number of fruit grains per plant, the average single grain weight, the average number of plants per mu and the number of mu. By counting and counting the number of citrus fruit grains per plant, and then estimating the yield, the efficiency is low and the accuracy rate is low. [0003] The existing intelligent identification method for the number of fruit grains in the captured image can only count the number of fruit grains outside the shooting surf...

AI Technical Summary

Problems solved by technology

By counting and counting the number of citrus fruits per plant, and then estimating the yield, the efficiency is low and the accuracy is low

[0003] The existing intelligent identification method for the number of fruit grains in the captured image can only count the number of fruit grains on the surface of the shooting surface, and it is difficult to obtain the number of fruit grains of a single fruit tree based on the picture

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