In the case for a better well-being and a better life, it is quite essential to have a look at the best medicinal plants. Identifying the right medicinal plants assumes a huge role in preparing a good medicine. So, can image processing be a good choice in helping you identify the medicinal plants? It would be interesting to shed some light on this aspect of the correlation between the image processing technology and medicinal plants.
Why is it important to identify the species properly?
There are hundreds of thousands of plants that belong to the same genre or appear to be the same. While some of them may have medicinal properties, a few others may be harmful to humans. That is why it is of utmost importance to identify the right plants, and they can prove to be a great option to help you prepare the right medicinal preparations.
One of the prime options that can prove to be effective is to check out the leaves of the herbs and their roots. You would also need to pay enough attention to the different components of the plant to arrive at the right classification and identification.
Can image processing be helpful in identifying the medicinal herbs?
The medicinal plants are generally identified based on the shape and texture of the leaves. The support vector machine classification is one of the widely used options in achieving a great degree of performance and efficiency in how to pick the right medicinal plants.
The technique developed in 2017 makes use of the leaf images of the medicinal plants. The technique then calculates the 10 shape features and 5 texture features to arrive at the different possibilities. The classification model using the vector machine helps you identify and differentiate between 12 different medicinal plant images. The likelihood of the success rate of identifying the right images would be around 93.3 per cent.
There has been another technology developed by Alimboyong, and his team makes use of the computer vision method for recognising the medicinal plant species. The Surface plot and HOG attributes are a few of the options that prove to be handy in detecting the plants more effectively.
Does the technology work efficiently in finding the right species of the medicinal plants?
The method works on the basis of a host of advanced options and processes that form part of the entire technology. It includes several steps that include the following steps and options –
What is the future scope of the technology?
The methods that have been outlined in the above discussion for an enhanced experience in identifying the medicinal plants can indeed prove to be quite effective. These methods, as things stand as of now, tend to be not much useful when it comes to the tiny leaves. It may also fail to work in the cases where the plants have no proper leaves.
The efforts are needed to identify these types of plants more effectively. The computer attached to a scanner can further prove to be more efficient in working with the right algorithm. The improved machine learning and pre-processing features would definitely prove to be one of the excellent options in the long run.
The Concluding thoughts
Plants are definitely of much use for the proper human survival. The herbs have been extensively used for the folk medicine for a long time. However, the human intelligence in identifying the right plants can sometimes go wrong. The analytical technology has made a lot of improvements and enhancements in the realm of detecting the plants in the right way. The scientific evidence and technological advancements can prove to be a great option in the long run in detecting the plants correctly enough.
The use of the several techniques involved in the right image processing should definitely prove to be much effective in enjoying a huge deal of performance excellence. The allied tools, such as the image Upscaler, can further prove to be quite effective and efficient in almost every sense of the word. The non-destructive techniques in identifying the medicinal plants as described in the above discussion should indeed prove to be quite interesting.