## 1 Introduction  
The automated identification of plant species is an essential field in ecology to maintain a healthy atmosphere and is becoming a powerful and frequently used method to keep track of species' presence over a vast taxonomic range [1, 2]. In the case of any plant, the identification keys are primarily based on floral characteristics. Although much research has been done on automated plant identification in general, most of the studies have used plant leaves and flowers for classification [3]. Since bamboo has an excessively long reproductive cycle ranging from 3 to 120 years, it is challenging to identify a bamboo plant based on its reproductive structure. As a result, the emphasis on bamboo identification has changed from reproductive to vegetative features [4, 5]. Notably, bamboo species belong to the _Poaceae_ family, one of the most prominent plant groups in the world. Bamboo is a large gramineous plant with woody stalks up to 40 m in height and up to 20 cm in diameter, distributed across the globe, except in extremely cold areas, such as the Atlantic and some European regions. Bamboo has about 1707 species from 128 genera, out of which many fall under commercial categories [6; 7; 8]. It is one of the fastest-growing timber plants on Earth, with 1 m per day; one of them is _Bambusa oldhamii_, which grows nearly 4 feet per day [9]. Bamboo forest areas across the globe cover an approximately 36-million-hectare area (MHA), among which India contains 16 MHA, followed by China with 6.5 MHA. These two countries have a vast range of bamboos, with more than 1000 species [10; 11]. Bamboo has mainly two species, _Arundinariaee_ and _Bambuseae_; among the two, most of the world is covered by the _Bambuseae_ species [12; 13]. Besides a few exceptions, each species of _Bambuseae_ has a distinctive set of features that allows for the quick and simple identification of any given specimen as belonging to this bamboo family. However, the lack of blooming and the consistent visual appearance of species in the bamboo group pose significant challenges for image-based plant species identification [14]. The variations between species and even genera might be difficult to see without a close examination, particularly if there is no flower present. In the case of bamboo, is too difficult to identify or recognize its species accurately because most of the bamboo species are grown in a group or a bunch. Every bamboo species has different features that are used for identification [10; 15]. As a result, determining the bamboo species and correctly identifying them is becoming an increasingly challenging area of research. There are several difficulties, including distortion, noise, and segmentation faults. Earlier researchers and biologists were confined to identifying the bamboo in physical environments only using the culm sheath and leaf [16]. The majority of research focuses on ground-based objects. Despite this, there has been tremendous growth in the need to identify and recognize commercial plant species. The world's population is increasing rapidly, so there should be equal growth in the agricultural field, which can provide food and other essential items to this growing population. According to the Food and Agriculture Organization (FAO), about 40% of the population, i.e., approximately 2.5 billion people, is economically dependent on bamboo, and it also provides shelter to one billion people in the form of the traditional bamboo house [17; 18; 19]. In addition, the international trade value of bamboo is estimated to be 68.8 billion US dollars, and approximately 80% of the world's population is dependent on NTFPs for their day-to-day needs. Many experts claim it will be a replacement for wood and plastic in the near future [10; 20]. Bamboo has unique and excellent physical, chemical, and mechanical properties, due to which it is very well known for its commercial application.