Automatic acquisition device and method for field information of crawler trolley

Abstract

The invention relates to an automatic acquisition device and method for field information of a crawler trolley. The device is composed of six functional modules including a crawler chassis, a mountingbracket, an automatic tracking unit, a crop image acquisition unit, a solar energy supply module and a computer system. The trolley is guided to automatically walk along crops by means of a magneticguiding sensing technology, pictures of the crops are full-automatically acquired by visible light cameras, electric energy is supplied to the trolley for 24 hours by a solar cell panel, and the non-destructive measurement device and method capable of extracting phenotype information of the crops by means of an image processing technology are achieved; and meanwhile the crawler trolley adopts thechassis which is provided with four direct current motors with the power of 80W, therefore, the load of the trolley can reach a 100Kg crawler structure, and the problem that a field geographical environment is uneven is solved. By adopting the device in the research of crop genetic improvement, growth images of the crops can be conveniently and quickly acquired in a non-intervention and non-destruction mode.

Description

technical field [0001] The invention is a crawler trolley device suitable for upland crops, which can automatically acquire digital images of field crops. The device consists of six functional modules including a crawler chassis, a mounting bracket, an automatic tracking guidance unit, a crop image acquisition unit, a solar power supply, and a computer system. It uses magnetic guidance sensing technology to guide the car to automatically walk along the crop row, A non-destructive measurement device and method for automatically collecting images of crops by using a visible light camera, using solar panels to provide electric energy for a car 24 hours a day, and extracting phenotypic information of crops by using image processing technology. Background technique [0002] Improving the genetic characteristics of crops to breed high-yield and high-quality varieties is a method to increase crop productivity. In the research of crop genetic improvement, large-scale experiments ar...

AI Technical Summary

Problems solved by technology

[0003] At present, hand-held cameras are used to collect images of crops in the field, which requires 2-4 people to work together. The collection efficiency is low and time-consuming, and the consistency of the collected images is poor. The track gantry crane platform can also be used to collect crop images, but its cost is expensive and maintenance costs are high. It can only operate on a fixed orbit; the UAV platform requires cutting-edge science and technology, and takes a long time to develop. It can only be photographed tens of meters above the crops, resulting in low accuracy of the collected images, and is also easily affected by the weather.

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