Abstract
Attention to the natural environment is equivalent to observing the space in which we live. Plant roots, which are important organs of plants, require our close attention. The method of detecting root system without damaging plants has gradually become mainstream. At the same time, machine learning has been achieving good results in recent years; it has helped develop many tools to help us detect the underground environment of plants. Therefore, this article will introduce some existing content related to root detection technology and machine detection algorithms for root detection, proving that machine learning root detection technology has good recognition capabilities.
Highlights
Trees are a precious resource—as important as glaciers and oceans—and are the wealth of a country and society; they are earth resources we must treasure
This article introduces Ground-penetrating radar (GPR), including the working principle and calculation formula
We briefly commented on some algorithms, and introduced several commonly used algorithms in root detection, combined with the neural network introduced later to achieve better results
Summary
Trees are a precious resource—as important as glaciers and oceans—and are the wealth of a country and society; they are earth resources we must treasure. Trees play a very important role in maintaining natural ecosystems and regulating the climate and environment. Due to development reasons, most countries have different levels of excessive deforestation, and it is urgent to protect forests and their ecological diversity. Of all the organs of a plant, the root is a vital organ. It is responsible for fixing plants, obtaining nutrients in the soil and improving soil composition. It is very important to detect and evaluate the root system of existing plants in forests and other regions, and it has great development significance
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