Intertillage period sugarcane seedling hilling method based on machine learning

Abstract

The invention belongs to the field of machine learning, and relates to an intertillage period sugarcane seedling hilling method based on machine learning. The method comprises the following steps: 1) training to obtain an intertillage period sugarcane hilling identification positioning network model; 2) performing real-time feature extraction and target positioning on sugarcane images in a seedling stage acquired by a camera in real time, and acquiring and storing center point coordinate information of a target; 3) constructing a coordinate classification system based on supervised learning, and dividing the coordinate information of the central point of the prediction frame obtained by the real-time prediction target into two groups of coordinate data of the left side and the right side of the sugarcane cultivator-hiller; 4) carrying out calculation processing on the two groups of coordinate data, and respectively calculating an inclination value of each group of coordinate data; and (5) carrying out real-time adjustment by hilling equipment according to the range of the inclination value to conduct hilling operation. According to the invention, accurate prediction control of the sugarcane intertillage and hilling process is realized, the labor cost and the mechanical cost are reduced, and the method has great popularization significance for intelligent development of the sugarcane intertillage and hilling machine in the later period.

Description

technical field [0001] The invention belongs to the field of machine learning, and relates to a machine learning-based soil cultivation method for sugarcane seedlings in the inter-cultivation period. Background technique [0002] Sugarcane is a high-stalk crop. After the plant is affected by the natural environment, problems such as lodging, waterlogging, and waterlogging will commonly occur after the plant grows. Therefore, the lodging resistance of the plant is the guarantee of the subsequent quality, yield, and mechanized management and harvest of sugarcane. Important guarantee, so sugarcane intertillage soil cultivation is one of the most important processes in the early planting of sugarcane. Sugarcane soil cultivation is carried out at the seedling stage, which is helpful for tillering and growth of sugarcane roots. The concave surface is unfavorable to mechanized harvesting, and it is easy to cause sugarcane loss and increase the rate of broken heads, thereby affectin...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a method for cultivating sugarcane seedlings during intertillage based on machine learning, aiming to solve the problems of unstable operation quality and low operation efficiency in the process of cultivating sugarcane intertillage

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