Dr.B.Lakshmi Devi

@svce.edu.in

Associate Professor,CSE(Data Science)
Sri Venkateswara College of Engineering,Tirupati

Dr.B.Lakshmi Devi


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https://researchid.co/dr.b.lakshmidevi

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Engineering, Engineering, Engineering
4

Scopus Publications

73

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Tomato plant disease prediction system with a new framework SSMAN using advanced deep learning techniques
    Saravanan Madderi Sivalingam, Lakshmi Devi Badabagni
    International Journal of Electrical and Computer Engineering, 2025
    Agriculture plays a pivotal role in India's economy, and the timely detection of plant infections is essential to safeguard crops and prevent further spread of diseases. The conventional approach involves manual inspection of plant leaves to identify the specific type of disease, a task typically carried out by farmers or plant pathologists. In previous studies, you only look once (YOLO) and faster region-based convolutional neural network (R-CNN), machine learning algorithms were applied to datasets for detecting objects on tomato leaves which includes a total of images 2403 and got accuracies of 86 and 82 percent. In this paper, a deep convolutional neural network (DCNN) model proposed with a new framework separate, shift, and merge based AlexNet50 algorithm (SSMAN) is used to predict the disease at an earlier stage with higher accuracy. Among various pre-trained deep models, AlexNet emerges as the top performer, achieving the highest accuracy in disease classification. SSMAN can address anomalies in images by employing a class decomposition approach to scrutinize class boundaries. AlexNet exhibits a notable accuracy of 98.30% in successfully identifying tomato leaf diseases from images, with pre-trained new framework, superior to the original AlexNet architecture as well as traditional classification methods with other algorithms.
  • Encouraging hygiene permanence in tomato leaf and applying machine learning techniques
    Saravanan Madderi Sivalingam, Lakshmi Devi Badabagni
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
    <div align="center"><span>Tomatoes are the major ingredient in food preparation, which leads to a huge food production rate. Most countries cultivate huge tomatoes at the same time that crop diseases affect the production rate due to many different types of diseases. The various types of diseases are bacterial spots, septoria leaf spot, left mold, late blight, early blight, arget and spot. Many research studies review these tomato leaf diseases with various statistics. The survey on disease will give a clear idea of reasons and prevention methods, also presenting how to reduce it in the early stages. In another study, tomato leaf images were taken to classify the diseased and non-diseased varieties. Few studies compare the standard model of disease prediction with the machine learning models. Therefore, this research study discusses tomato leaf disease detection and prevention methods used by various researchers in their studies and finally consolidate the observations. This study also deals with encouraging hygiene permanence in tomato leaf using machine learning algorithms. The convolutional neural network (CNN) was used to predict the early nature of the hygiene nature of leafy vegetable plants for the benefit of agriculture people and concluded with better future suggestions.</span></div>
  • Detection of Unwanted Information on Quora Using Support Vector Machine and AlexNet
    Saravanan. M. S, B. Lakshmi Devi
    3rd IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2023, 2023
  • Survey on Various Methods and Algorithms used for Plant Pest and Diseases
    B. Lakshmi Devi, Saravanan M S
    Proceedings International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2022, 2022

RECENT SCHOLAR PUBLICATIONS

  • MULTI LINGUAL MOBILE APP FOR REAL-TIME DISEASE DETECTION
    P Bhargavi, BL Devi, G Sreehitha, G Radhika
    Research Digest on Engineering Management and Social Innovations 2 (5), 82-90 , 2026
    2026.0
  • Tomato plant disease prediction system with a new framework SSMAN using advanced deep learning techniques.
    SM Sivalingam, LD Badabagni
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (1 … , 2025
    2025.0
    Citations: 7
  • tomato plant disease prediction system with new framework SSMAN using advanced deep learning techniques
    lakshmi devi badabagni
    IJECE 15, I-Ix , 2025
    2025.0
  • Encouraging hygiene permanence in tomato leaf and applying machine learning techniques
    SM Sivalingam, LD Badabagni
    Indonesian Journal of Electrical Engineering and Computer Science 33 (1 … , 2024
    2024.0
    Citations: 8
  • Smart Waste Management System
    NS Lohitha, BL Devi, VS Bai
    International Conference on Hybrid Intelligent Systems, 246-254 , 2023
    2023.0
  • Detection of Unwanted Information on Quora Using Support Vector Machine and AlexNet
    BL Devi
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023.0
  • Survey on Various Methods and Algorithms used for Plant Pest and Diseases
    BL Devi, MS Saravanan
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022.0
    Citations: 4
  • COVID ULTRASONOGRAPHY CATEGORIZATION AND SEGMENTATION USING DEEP LEARNING
    BLD Y Dharani,B Sony
    IJCRT 10 (7), 4 , 2022
    2022.0
  • CATEGORIZATION AND SEGMENTATION of CCOVID BY ULTRA SONOGRAPHY USING U-Net
    BL DEVI
    International Journal of Advances in Engineering and Management (IJAEM) 4 (7 … , 2022
    2022.0
  • CROP YIELD PREDICTION USING DATA ANALYTICS WITH MACHINE LEARNING ALGORITHMS
    BL DEVI
    Journal of Information and Computational Science 11 (12), - , 2021
    2021.0
  • WITHDRAWN: Efficient health care systems using intelligent things using NB-IoT
    C Ellaji, G Sreehitha, BL Devi
    Materials Today: Proceedings , 2020
    2020.0
    Citations: 14
  • Sentiment analysis on movie reviews
    B Lakshmi Devi, V Varaswathi Bai, S Ramasubbareddy, K Govinda
    Emerging Research in Data Engineering Systems and Computer Communications … , 2020
    2020.0
    Citations: 40
  • Securing Cloud Data using Data Sharing and Searching Scheme in IoT
    BL Devi
    International Journal of Scientific Enginering and Technology Research 7 (4 … , 2018
    2018.0
  • Clustering Of High Dimensional Data And Finding Relevant Features
    BL Devi, JK Kumar

MOST CITED SCHOLAR PUBLICATIONS

  • Sentiment analysis on movie reviews
    B Lakshmi Devi, V Varaswathi Bai, S Ramasubbareddy, K Govinda
    Emerging Research in Data Engineering Systems and Computer Communications … , 2020
    2020.0
    Citations: 40
  • WITHDRAWN: Efficient health care systems using intelligent things using NB-IoT
    C Ellaji, G Sreehitha, BL Devi
    Materials Today: Proceedings , 2020
    2020.0
    Citations: 14
  • Encouraging hygiene permanence in tomato leaf and applying machine learning techniques
    SM Sivalingam, LD Badabagni
    Indonesian Journal of Electrical Engineering and Computer Science 33 (1 … , 2024
    2024.0
    Citations: 8
  • Tomato plant disease prediction system with a new framework SSMAN using advanced deep learning techniques.
    SM Sivalingam, LD Badabagni
    International Journal of Electrical & Computer Engineering (2088-8708) 15 (1 … , 2025
    2025.0
    Citations: 7
  • Survey on Various Methods and Algorithms used for Plant Pest and Diseases
    BL Devi, MS Saravanan
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022.0
    Citations: 4
  • MULTI LINGUAL MOBILE APP FOR REAL-TIME DISEASE DETECTION
    P Bhargavi, BL Devi, G Sreehitha, G Radhika
    Research Digest on Engineering Management and Social Innovations 2 (5), 82-90 , 2026
    2026.0
  • tomato plant disease prediction system with new framework SSMAN using advanced deep learning techniques
    lakshmi devi badabagni
    IJECE 15, I-Ix , 2025
    2025.0
  • Smart Waste Management System
    NS Lohitha, BL Devi, VS Bai
    International Conference on Hybrid Intelligent Systems, 246-254 , 2023
    2023.0
  • Detection of Unwanted Information on Quora Using Support Vector Machine and AlexNet
    BL Devi
    2023 3rd International Conference on Mobile Networks and Wireless … , 2023
    2023.0
  • COVID ULTRASONOGRAPHY CATEGORIZATION AND SEGMENTATION USING DEEP LEARNING
    BLD Y Dharani,B Sony
    IJCRT 10 (7), 4 , 2022
    2022.0
  • CATEGORIZATION AND SEGMENTATION of CCOVID BY ULTRA SONOGRAPHY USING U-Net
    BL DEVI
    International Journal of Advances in Engineering and Management (IJAEM) 4 (7 … , 2022
    2022.0
  • CROP YIELD PREDICTION USING DATA ANALYTICS WITH MACHINE LEARNING ALGORITHMS
    BL DEVI
    Journal of Information and Computational Science 11 (12), - , 2021
    2021.0
  • Securing Cloud Data using Data Sharing and Searching Scheme in IoT
    BL Devi
    International Journal of Scientific Enginering and Technology Research 7 (4 … , 2018
    2018.0
  • Clustering Of High Dimensional Data And Finding Relevant Features
    BL Devi, JK Kumar