Shoot Types Research Articles

YOLOX target detection model can identify and classify several types of tea buds with similar characteristics

Currently, the accuracy of tea bud identification is crucial in the intelligent development of the tea industry, and this is due to the fact that identifying tea buds is a key step in determining the quality of tea and distinguishing the categories. In this experiment, 3728 tea shoots with similar characteristics in four categories (Anji White Tea, Huangshan Seed, Longjing 43, and NongKang Early) were photographed to establish the dataset TBD (Tea Bud Dataset). In this experiment, we constructed a tea shoot recognition model. We used seven mainstream algorithms (YOLOv4, YOLOv5, YOLOX, YOLOv7, EfficientDet, Faster R-CNN and CenterNet) to conduct shoot recognition comparison experiments and found that the YOLOX algorithm performs the best with its Precision, Recall, F1 score, mAP 89.34%, 93.56%, 0.91, and 95.47%, respectively. Then the YOLOX algorithm combined with the dataset to construct the shoot recognition model, the shoots of four kinds of tea to establish a tea shoot classification model, the model to identify the Anji white tea shoots of Precision 76.19%, the yellow mountain species of Precision 90.54%, Longjing 43 Precision 80%, NongKang early to the morning of the Precision was 77.78%. The results of this experiment show that the established tea shoot classification model has achieved a better classification of the above four types of tea shoots, which can also understand the feasibility of mechanical intelligent tea picking and provide some theoretical support for the application of mechanical intelligent tea picking in practice.

Сезонная динамика и ритмичность роста побегов растений Salix ‘Bullata’

Abstract. The purpose is to identify infradian rhythms in the seasonal dynamics of apical growth of shoots of Salix ‘Bullata’ plants and to establish the features of morphogenesis associated with the existence of endogenous (genetic and hormonal) mechanisms for the occurrence of nonlinear changes, including fluctuations in the growth characteristics of shoots. Methods. A quantitative approach was used to study the dynamics of morphogenesis processes. There was carried out a comparative research of seasonal dynamics of velocities and accelerations of apical and radial growth of Salix ‘Bullata’ plants shoots, which differ in origin and location on the plant. Results. In the seasonal dynamics of the characteristics of apical growth of branching and plant formation shoots of Salix ‘Bullata’ plants there are observed infradian rhythms, similar to those identified for other willow species. These rhythms are most pronounced for the growth accelerations (about 5 maximums within 3.5 months). Seasonal dynamics of apical growth accelerations of two types of shoots are correlated and almost synchronous. Seasonal dynamics of speeds and accelerations of radial growth of the studied types of shoots are similar and differ from the seasonal dynamics of apical growth. The weak dependence of growth characteristics on weather conditions confirms the concept of the endogenous nature of the growth of plant shoots periodicity. Scientific novelty. The results complement the existing information on biological rhythms and processes of morphogenesis in woody plants. The growth of shoots of willows and, possibly, other species of woody plants has an oscillatory character. Seasonal dynamics of apical and radial growth are different. The occurrence of oscillations in the rate of shoot apical growth is mainly due to the processes of apical meristem development itself. Apparently, the oscillatory nature of shoot growth is the result of the superposition of several processes of different nature in the meristem tissues, including division, extension and differentiation of cells, and also the production and distribution of phytohormones. The results can be applied to the use and modification of methods of woody plants nursing – the grafting, the pruning, the rejuvenation and the vegetative propagation.

Modular organization of shoot system and ontogenesis of Hedysarum branthii Trautv. & C.A. Mey.

The shoot formation of Hedysarum branthii and ontogeny in natural populations on the territory of the Russian Far East were studied from the position of a modular organization. The structure of three categories of modules (elementary, universal and basic) is described. In different ecological-cenotic conditions were revealed two types of shoot. In the structure of the shoot were identifi ed the 15 types of elementary modules, which form 3 types of universal and 3 types of basic modules. The variability of the basic module is leads to the formation of three type of the life form. The life form, which consists of taproot system and elongated, ascending type of shoot is dominant of the H. branthii and in the Gamotion section of the genus Hedysarum. It has been established that a change in the life form occurs with a change in environmental conditions, namely, the altitude above sea level and the type and humidity of the substrate due to the inclusion of two types of additional adaptive elementary modules.

Exploring challenge and explainable shot type classification using SAM-guided approaches

Exploring challenge and explainable shot type classification using SAM-guided approaches

Enhancing Tennis Serve Scoring Efficiency: An AI Deep Learning Approach

The playing field of a tennis competition is a dynamic and complex formative environment given the following preliminary knowledge: (a) the basic technical, tactical, situational, and special types of shots used by the opponent; (b) the hitting area of the tennis player; (c) the place of service; (d) the ball drop position; and (d) batting efficiency and other related information that may improve the chances of victory. In this study, we propose an AI classification model for tennis serve scores. Using a deep learning algorithm, the model automatically tracks and classifies the serve scores of professional tennis players from video data. We first defined the players’ techniques, volleys, and placements of strokes and serves. Subsequently, we defined the referee's tennis terms and the voice in deciding on a serve score. Finally, we developed a deep learning model to automatically classify the serving position, landing position, and use of tennis techniques. The methodology was applied in the context of 10 matches played by Roger Federer and Rafael Nadal. The proposed deep learning algorithm achieved a 98.27% accuracy in the automatic classification of serve scores, revealing that Nadal outscored Federer by 2.1% in terms of serve-scoring efficiency. These results are expected to facilitate the automatic comparison and classification of shots in future studies, enabling coaches to adjust tactics in a timely manner and thereby improve the chances of winning.

Bioremediation potential of tree-level plant vegetation UIN Raden Mas Said Surakarta campus as an alternative solution to environmental problems towards a green campus.

Environmental problems become actual and interesting issues to discuss. Environmental problems are not only in water, soil and living things but also include air pollution. One of the environmental solutions can use bioremediation, Educational Institutions can also participate in environmental solutions by becoming a green campus. The purpose of this study is to see the potential of bioremediation of tree-level plant vegetation UIN Raden Mas Said Surakarta as an alternative solution to environmental problems towards a green campus. This research was conducted from July-October 2023, plant classification was carried out thoroughly in the campus area, then a meta-analysis was carried out for its potential as bioremediation and green campus potential. Based on the results of research at the UIN Raden Mas Said Surakarta campus, there are 58 types of plants with a total of 670 plants with the most types of plants red shoots (Syzygium paniculatum Gaertn.) 12% and Ketapang kencana (Terminalia mantaly) 11%. Furthermore, the results of the meta-analysis found that the potential for vegetation bioremediation at UIN Raden Mas Said Surakarta as phytoremediation where plants act as bioremediation agents, while the potential of UIN Raden Mas Said Surakarta as a green campus based on the UI GreenMetric Guidelines 2022 Standards has met several criteria and indicators of green campus achievements, but to become a green campus requires the participation of various parties, both leaders and the academic community and students so that UIN Raden Mas Said Surakarta can get the title of green campus.

Safe Bets, Long Shots, and Toss-Ups: Strategic Engagements Between Activists and Firms

We use a game-theoretic model to examine how different types of activist motivation affect strategic interactions between an activist and a firm in the context of a threatened adversarial engagement, in which the activist can benefit from “warm glow” and media publicity as well as from firm compliance with activist demands. The model yields novel predictions about when firms prefer to self-regulate to pre-empt a contested engagement, how vigorously firms defend themselves against the activist’s attack if an engagement occurs, and a new taxonomy of engagements, characterized by offensive and defensive strategies and the likelihood of activist success. The model predicts that when warm glow and campaign-driven wins are important motivations for activists, safe bet and long shot types of engagements are more likely to occur: These tend to be lower expenditure skirmishes where one party has a clear advantage and where a pre-emptive settlement is infeasible. By contrast, firms and activists are more likely to negotiate self-regulation that pre-empts resource-intensive toss-up engagements where each side is evenly matched and expends significant effort. Our findings contribute to strategic management research by developing new insights about how firms respond to different activist motivations and types of engagements. We explore extensions of the model and discuss implications for future empirical and theoretical research on the management of activist relations. This paper was accepted by Joshua Gans, business strategy. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2022.01638 .

A table tennis serve versus rally hit elicits differential hemispheric electrocortical power fluctuations.

Human visuomotor control requires coordinated interhemispheric interactions to exploit the brain's functional lateralization. In right-handed individuals, the left hemisphere (right arm) is better for dynamic control and the right hemisphere (left arm) is better for impedance control. Table tennis is a game that requires precise movements of the paddle, whole body coordination, and cognitive engagement, providing an ecologically valid way to study visuomotor integration. The sport has many different types of strokes (e.g., serve, return, and rally shots), which should provide unique cortical dynamics given differences in the sensorimotor demands. The goal of this study was to determine the hemispheric specialization of table tennis serving - a sequential, self-paced, bimanual maneuver. We used time-frequency analysis, event-related potentials, and functional connectivity measures of source-localized electrocortical clusters and compared serves with other types of shots, which varied in the types of movement required, attentional focus, and other task demands. We found greater alpha (8-12 Hz) and beta (13-30 Hz) power in the right sensorimotor cortex than in the left sensorimotor cortex, and we found a greater magnitude of spectral power fluctuations in the right sensorimotor cortex for serve hits than return or rally hits, in all right-handed participants. Surprisingly, we did not find a difference in interhemispheric functional connectivity between a table tennis serve and return or rally hits, even though a serve could arguably be a more complex maneuver. Studying real-world brain dynamics of table tennis provides insight into bilateral sensorimotor integration.NEW & NOTEWORTHY We found different spectral power fluctuations in the left and right sensorimotor cortices during table tennis serves, returns, and rallies. Our findings contribute to the basic science understanding of hemispheric specialization in a real-world context.

Shot classification for human behavioural analysis in video surveillance applications

Human behavior analysis plays a vital role in ensuring security and safety of people in crowded public places against diverse contexts like theft detection, violence prevention, explosion anticipation etc. Analysing human behaviour by classifying of videos in to different shot types helps in extracting appropriate behavioural cues. Shots indicates the subject size within the frame and the basic camera shots include: the close-up, medium shot, and the long shot. If the video is categorised as Close-up shot type, investigating emotional displays helps in identifying criminal suspects by analysing the signs of aggressiveness and nervousness to prevent illegal acts. Mid shot can be used for analysing nonverbal communication like clothing, facial expressions, gestures and personal space. For long shot type, behavioural analysis is by extracting the cues from gait and atomic action displayed by the person. Here, the framework for shot scale analysis for video surveillance applications is by using Face pixel percentage and deep learning based method. Face Pixel ratio corresponds to the percentage of region occupied by the face region in a frame. The Face pixel Ratio is thresholded with predefined threshold values and grouped into Close-up shot, mid shot and long shot categories. Shot scale analysis based on transfer learning utilizes effective pre-trained models that includes AlexNet, VGG Net, GoogLeNet and ResNet. From experimentation, it is observed that, among the pre-trained models used for experimentation GoogLeNet tops with the accuracy of 94.61%.

Impact of COVID-19 Vaccinations on Menstrual Bleeding.

Vaccination has a fundamental role in protecting against and modifying the severity of several infectious diseases, including COVID-19. Several immune and non-immune adverse events have been reported post-COVID-19 vaccine. The aim of this study was to assess the effect of the COVID-19 vaccine on women's menstrual bleeding. A cross-sectional study was conducted among 399 vaccinated women in the Eastern Province of Saudi Arabia. Data were collected using a direct interview-based questionnaire including four sections. A total of 399 women were recruited, with a mean age of 25.54 ± 6.177 years. More than half (53.9%) of the participants reported post-vaccination menstrual bleeding abnormality in terms of a heavy or irregular cycle. Out of the total number, 40 (21.4%) women reported having heavy menstrual flow, and 67 (16.8%) had non-menstrual bleeding after receiving the COVID-19 vaccine. Fully vaccinated women were at a greater risk of post-vaccination menstrual bleeding abnormality (p = 0.058). However, there was no correlation between booster shot type and menstrual bleeding abnormality (p > 0.05). In addition, there was no significant association between non-menstrual bleeding and the type of booster shot, the type of the first dose, and prior history of COVID-19 infection (p > 0.05). Despite vaccination being the most effective way to prevent COVID-19, it does have an impact on menstrual bleeding in terms of menorrhagia and metrorrhagia. Therefore, more studies are needed to understand the mechanism and the long-term impact of COVID-19 vaccines on the hemostatic system.

The Sink–Source Relationship Regulated Camellia oleifera Flower Bud Differentiation by Influencing Endogenous Hormones and Photosynthetic Characteristics

To explore the reasons for the differences in flower bud differentiation in Camellia oleifera under different sink–source relationships, different types of new shoots (T1 and T2) were selected to represent different sink–source relationships (new shoots with one fruit borne alongside at the bottom of the new shoots-T1; new shoots without one fruit borne alongside at the bottom of the new shoots-T2), and the flower bud differentiation rate, endogenous hormones and photosynthetic characteristics were determined. With the increase in the sink, the flower differentiation rate decreased significantly and the IAA and GA3 content in the leaves and ABA content in the buds increased significantly, while the GA3 and ZT content in the buds decreased significantly, which were significantly and positively correlated with the flower differentiation rate, with correlation coefficients of 0.777 and 0.817, respectively. Furthermore, an increase in the number of sinks contributed significantly to the increase in soluble sugar and starch content in leaves, while the soluble sugar and starch content in flower buds decreased significantly with the increase in sinks, with maximum differences of 3.45 mg·g−1 (soluble sugar in leaves), 4.09 mg·g−1 (soluble sugar in flower buds), 7.08 mg·g−1 (starch in leaves) and 4.87 mg·g−1 (starch in flower buds), and the high soluble sugar and starch content in flower buds at preflower bud differentiation with correlation coefficients of 0.854 and 0.837, respectively. The chlorophyll content and net photosynthetic rate increased with increasing sinks. In the presence of fruit at the base of the new shoot, more 13C assimilates were allocated to fruit and less to flower buds, resulting in a decrease in the rate of flower bud differentiation. The 13C assimilate allocated to the flower buds of T1 (6.71 mg·g−1) was significantly lower than the 13C assimilate allocated to the flower buds of T2 (10.26 mg·g−1) during late bud differentiation, and the difference between T1 and T2 was greatest during this period. Our work demonstrated that the sink–source relationship regulated Camellia oleifera flower bud differentiation by influencing endogenous hormones and photosynthetic characteristics. To achieve stable production of Camellia oleifera in successive years in the future, the ratio of the number of new shoots of the two types in relation to the different sink–source relationships should be reasonable.

A lightweight weak semantic framework for cinematographic shot classification

Shot is one of the fundamental unit in the content structure of a film, which can provide insights into the film-director’s ideas. By analyzing the properties and types of shots, we can gain a better understanding of a film’s visual language. In this paper, we delve deeply into the task of shot type classification, proposing that utilizing multimodal video inputs can effectively improve the accuracy of the task, and that shot type classification is closely related to low-level spatiotemporal semantic features. To this end, we propose a Lightweight Weak Semantic Relevance Framework (LWSRNet) for classifying cinematographic shot types. Our framework comprises two modules: a Linear Modalities Fusion module (LMF Module) capable of fusing an arbitrary number of video modalities, and a Weak Semantic 3D-CNN based Feature Extraction Backbone (WSFE Module) for classifying shot movement and scale, respectively. Moreover, to support practical cinematographic analysis, we collect FullShots, a large film shot dataset containing 27K shots from 19 movies with professionally annotations for movement and scale information. Following experimental results validate the correctness of our proposed hypotheses, while our framework also outperforms previous methods in terms of accuracy with fewer parameters and computations, on both FullShots and MovieShots datasets. Our code is available at (https://github.com/litchiar/ShotClassification).

Description of Residual Stress Distribution in the Surface Layer After Heat Treatment and Shot Peening

Abstract The stress distribution function in the surface layer is created as a result of using stress measurements on the surfaces of C45 steel samples after shot peening. Stresses were measured by X-ray diffraction with the use of the PSF-3M device from the Rigaku Company. For measuring residual stresses, subsequent layers of the top surface of the material were used as a basis, and these were obtained through electrochemical etching. The test results i.e. distance into the material, sample hardness, shot type, stress) were entered into the stepwise multiple regression program. A record of residual stresses was obtained in the form of the second-degree regression function of three independent variables with interactions. The obtained analytical form of the residual stress function was used in the FUNVAL3.EXE program to calculate the tabular values of stresses permeating into the material. For the analytical description of the stress distribution, the REGPOLY.EXE regression program was used, which creates a polynomial functional form of the residual stress distribution. The plot form of the residual stress distribution was obtained using the EXCEL Microsoft Office 2000 program.

Dramatisasi Tipe Shot pada Iklan Pond’s for Men Edisi The Oily Warrior

ABSTRACT
 Commercial advertising films, or television commercials (TVC), are made as attractive as possible with the aim of attracting viewers. The element of dramatization in advertising is needed and is closely related to the type of shot used. This study analyzes the dramatization of Pond's for Men advertisements for The Oily Warrior Edition, a facial care product specifically for men. Qualitative research method by analyzing the type of shot used to create dramatic effects. The results of this study provide an understanding that choosing the right type of shot in a scene will create a visual dramatization effect, which is an effective marketing strategy to create advertising films that attract the attention of viewers.
 Keywords: Dramatization, Shot, Shot Types, Television Commercial

Revealing the relationship between the shot type and fatigue performance of laser powder bed fused 304L steel following shot peening

Shot peening (SP) is gaining popularity as a post-processing method for improving fatigue properties of laser powder bed fused (LPBF) metallic materials. This work investigated the influence of shot type on the surface strengthening and life improvement of LPBF 304L stainless steel (SS) with a rough as-built surface using ASH 110 steel shot, AZB 300 ceramic shot, and CW 35 strengthened steel shot. The shot characteristics (size, shape factor, and hardness), SP surface characteristics (morphology, roughness, residual stress, and hardness), and SP subsurface characteristics (grain refinement, deformation twinning, martensitic transformation, and defect distribution) were fully characterized and quantified. Particularly, the foldings with rolled-up edges that affected surface finish appeared on the SP surface, and their formation was ascribed to the as-built surface morphology containing incompletely melted powder particles and agglomerations, as well as the shot properties such as size, hardness, and sharpness. The irregular LoF defects between the contour region and infill region could not be entirely eliminated/healed utilizing SP procedures, and these defects were always the fatigue crack initiation sites for AB and SP samples. Therefore, the critical role of “penetration depth” of the kinetic energy on irregular LoF defects and fatigue performance was highlighted. A larger penetration depth can be achieved by employing small-sized ceramic shots with high hardness, deformation resistance, and kinetic energy, inducing refined structures and compressive residual stress around the irregular LoF defects, thereby constricting the fatigue crack initiation and propagation. This work provides a valuable reference for SP process design and optimization of LPBF metallic materials.

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

Sports analytics has captured increasing attention since analysis of the various data enables insights for training strategies, player evaluation, etc. In this paper, we focus on predicting what types of returning strokes will be made, and where players will move to based on previous strokes. As this problem has not been addressed to date, movement forecasting can be tackled through sequence-based and graph-based models by formulating as a sequence prediction task. However, existing sequence-based models neglect the effects of interactions between players, and graph-based models still suffer from multifaceted perspectives on the next movement. Moreover, there is no existing work on representing strategic relations among players' shot types and movements. To address these challenges, we first introduce the procedure of the Player Movements (PM) graph to exploit the structural movements of players with strategic relations. Based on the PM graph, we propose a novel Dynamic Graphs and Hierarchical Fusion for Movement Forecasting model (DyMF) with interaction style extractors to capture the mutual interactions of players themselves and between both players within a rally, and dynamic players' tactics across time. In addition, hierarchical fusion modules are designed to incorporate the style influence of both players and rally interactions. Extensive experiments show that our model empirically outperforms both sequence- and graph-based methods and demonstrate the practical usage of movement forecasting. Code is available at https://github.com/wywyWang/CoachAI-Projects/tree/main/Movement%20Forecasting.

In vitro regeneration of hybrid Dendrobium sect. Spatulata through pseudobulb segment culture

The low rate of Dendrobium regeneration through seed culture is a significant limitation of mass propagation development in new hybrids. An efficient protocol of in vitro regeneration through pseudobulb segment culture has been established for Dendrobium ‘Danny Dame’. Leaves and roots of seven-month-old seedlings were detached from the pseudobulb. Unsegmented pseudobulb and segments of apical, medial, and basal excised from seedlings. The four types of explants were cultured on Murashige and Skoog (MS) basal medium supplemented with different combinations of 1-naphthaleneacetic acid (NAA) and 6-benzyl amino purine (BAP). The highest number of shoots was observed in 1 mg L-1 BAP and 0.1 mg L-1 NAA using unsegmented pseudobulb explant after 2 months of culture. The unsegmented pseudobulb had a higher survivability rate and the number of shoots per explant than segmented pseudobulbs. However, if accumulated, segmented pseudobulbs can produce the number of shoots 2-4 times more than unsegmented pseudobulbs. The segment that had the highest average number of shoots was the basal segment. Two types of shoots were observed, both single shoot and multi shoot. The new shoots formation was developed from protuberance and or axillary bud. Roots were kept to grow only on the basal part of unsegmented explants and basal segment.

An improved YOLOv5-based method for multi-species tea shoot detection and picking point location in complex backgrounds

Accurate detection of tea shoots and precise location of picking points are prerequisites for automated, intelligent and accurate tea picking. A method was developed for the detection of tea shoots and key points and the localisation of picking points in complex environments. Images of four types of tea shoots were collected from multiple fields of view in a tea plantation over two months and labelling criteria were established. The YOLO-Tea model was developed based on the YOLOv5 network model, which uses a content-based upsampling operator (CARAFE) with a larger field of perception to implement the tea shoot feature upsampling operation, adds a convolutional attention mechanism module (CBAM) to focus the model on both channel and spatial dimensions to detect and localise important areas of tea shoots in a large field of view. The Bottleneck Transformers module was used to inject global self-focus for residuals to create long-distance dependencies on the tea shot feature images, and a six-point landmark regression head was added. The experimental results demonstrated that the YOLO-Tea model improved the mean Average Precision (mAP) value of tea shoots and their key points by 5.26% compared to YOLOv5. Finally, we use image processing methods to locate picking point positions based on key point information during the model inference phase. This study has theoretical and practical implications for the detection of tea shoots and their key points, tea shoot alignment, phenotype identification, pose estimation and picking locations of premium teas in complex environments.

Diurnal water fluxes and growth patterns in potato tubers under drought stress

Abstract Background and aims Potato tubers comprise 83% water at harvest, but surprisingly few studies address tuber water relations in drying soil. This study aims to understand whether soil drying alters tuber water fluxes and their effect on tuber volume growth. Methods Tuber water content and volume growth were investigated every 4 h using magnetic resonance imaging (MRI) during soil drying and re-watering, with leaf gas exchange, leaf water potential and foliar abscisic acid (ABA) concentration measured concurrently. Results Tubers of well-watered plants showed a diurnal growth pattern with their volume and average water content (TWC) increasing overnight. Withholding irrigation caused typical shoot drought stress responses (e.g. stomatal closure), dampened fluctuations in total TWC and paused nocturnal volume growth. Irrespective of soil moisture, tubers lost water (likely to the shoot) during the daytime when the plant transpires, while tuber water loss to the soil was minimal. Re-watering restored tuber volume growth and average TWC due to root water uptake and transport to the tuber. Conclusions Potato tubers can supply water to the shoot. Nocturnal water influx needs to exceed daytime water efflux for net tuber volume growth, which should be considered in irrigation management.

Identification of lactic acid bacteria isolated from ethnic fermented bamboo shoot "Lemea" in Bengkulu, Indonesia

Ethnic food is inherited from ancestors who utilizes local food and that have distinctive tastes. The Rejang tribe is a native Bengkulu community who processes bamboo shoots into a fermented product known as Lemea, which is only found in Bengkulu province. Lemea is a source of indigenous lactic acid bacteria (LAB). This study aimed to isolate and identify lactic acid bacteria (LAB) strains in Lemea. The bamboo shoots with betok fish (Anabas testudineus) were fermented for 48 hrs. Different types of bamboo shoots were expected to contain different types of LAB. Betung shoots (Dendrocalamus asper Schult) and yellow bamboo shoots (Bambusa vulgaris Schrad) have been used. Isolation of the LAB was performed through serial dilution of 10 g homogenized Lemea sample and spread on MRSA plates for each dilution series. Plates were incubated at 37°C for 48 hrs to obtain isolates. The isolates were identified molecularly using the 16S rRNA method. The results of the study found four isolates from two types of Lemea. After identification, it was known that the four isolates were bacteria of the genus Lactobacillus. Lactobacillus fermentum was only found in the fermentation process of yellow bamboo shoots (Bambusa vulgaris Schrad), while Lactobacillus plantarum was found in yellow bamboo shoots (Bambusa vulgaris Schrad) and betung (Dendrocalamus asper Schult).