High-throughput facility crop three-dimensional morphology information measurement system based on space carving technique

Abstract

The invention discloses a high-throughput facility crop three-dimensional morphology information measurement system based on a space carving technique. The measurement system is characterized in thatthe system comprises a rectangular imaging chamber, the imaging chamber is made of aluminum profiles, six surfaces of the imaging chamber are closed, and an RGB (red, green and blue) LED (light-emitting diode) adjusting light source, a vision sensor, a precision rotating table, a sliding rail platform, a laser distance measuring sensor, a light screen sensor, an imaging system control cabinet, a server computer and crop three-dimensional morphology information measurement image processing software are mounted in the imaging chamber.

Description

technical field [0001] The invention relates to the field of crop three-dimensional shape information measurement, in particular to a high-throughput facility crop three-dimensional shape information measurement system. Background technique [0002] With the development of my country's facility agriculture, my country has become the largest producer of facility horticulture in the world. Since crop information is an important basis for intelligent management of facility horticulture, efficient, accurate and reliable measurement of crop information is an important aspect of facility horticulture intelligent equipment. One of the key issues that need to be solved urgently. The 3D morphological information of facility crops mainly includes 3D morphological information of plants and 3D morphological information of plant organs. The three-dimensional shape information of specific plants involved mainly includes plant height, plant width, volume, total leaf area, tiller number, et...

AI Technical Summary

Problems solved by technology

However, most of the products are limited to three-dimensional morphological information measurement of simple and idealized initial seedlings, whole crops or local organs, and the three-dimensional morphological measurement speed is relatively slow

In addition, due to the relatively large changes in the three-dimensional morphological information of crop information during the growth cycle and the complex growth environment, the calculation methods for crop information have low precision and weak applicability. , unable to meet the needs of intelligent horticulture equipment for high-throughput measurement of 3D morphological information of large-scale crops throughout the growth cycle. At the same time, the lag of high-throughput 3D morphological information measurement technology of crops has also become a barrier restricting the development of crop functional genomics and molecular breeding. bottleneck

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