In recent years, with the development of image analysis technology, more and more instruments and equipment based on image analysis technology have begun to be applied in agricultural research. The representative product is a root image analysis system, which is analyzed using a root image analysis system. Plant roots can quickly obtain information such as total root length, average root diameter, total root area, total root volume, root tip count, branch number, crossover number, root diameter rating, and no damage to the plant's root system. The new technology of root measurement and analysis is widely used in the current development of agricultural science and technology. PIJIANG
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In the course of using the root system characteristics of the root image analysis system, we found from the image that a large number of adventitious roots appeared on the tomato, and that the integrated plant growth has revealed that the plant growth is weak, and some have already appeared topping, then what is it? Caused by the problem of too many roots of tomato? In fact, the tomato itself can produce an adventitious root system. This can be determined, but it is certainly not normal that too many adventitious root systems exist. It is generally believed that the roots of the adventitious roots of tomato are mainly due to the poor development of the root system. When vascular bundle disease occurs and the growth of the plants is inhibited, the plants need more roots to absorb nutrients for self-regulation and produce a large number of adventitious root systems.
It can be seen that the occurrence of adventitious roots in tomato is not a disease of the leaves, but it is also a systemic hazard and has a very close relationship with the development status and nutritional status of the tomato root system. Therefore, the root system of the root image analysis system is used. The feature is not only to find out whether the plant roots have diseases or their growth, but also to judge the growth situation of plants to a certain extent, and then to guide the scientific and rational fertilization, irrigation and other operations, and this is based on the root image analysis system. The characteristics can be used as an effective technical approach to improving agronomic practices.