Dr. M Anand

@gcet.edu.in

Assistant Professor
JNTUH

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Engineering, General Agricultural and Biological Sciences, Electrical and Electronic Engineering
5

Scopus Publications

17

Scholar Citations

3

Scholar h-index

Scopus Publications

  • Raspberry Pi Crop Recommendation Development Based on Soil and Environmental Conditions
    Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla
    Lecture Notes in Electrical Engineering, 2025
  • AN OPTIMIZED SOIL FEATURES PREDICTION USING SATELLITE IMAGE DATABASE
    Applied Soft Computing Techniques Theoretical Principles and Practical Applications, 2025
  • Intelligent organic matter prediction of agriculture soil using satellite images
    Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla
    Multimedia Tools and Applications, 2024
  • Deep learning: crop selection based on weather conditions in Tarakeswar village of Hooghly district in West Bengal
    Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla
    Multimedia Tools and Applications, 2024
  • An optimized deep network based soil texture prediction and vegetation analysis using satellite image database
    Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla
    Concurrency and Computation Practice and Experience, 2023
    SummaryThe usage of satellite images has grown rapidly in digital applications. Predicting features in the satellite images using conventional techniques is not an easy task as the images captured from satellites are more complex with highly noisy features. Hence, traditional imaging algorithms cannot analyze the image features and specify the soil textures. In this work, the Tarakeswar satellite images were taken to estimate the soil textures and crops yielding. Hence, to find the soil's chemical properties and suitable crops, the novel bat‐based U‐Net feature prediction system (BUFPS) was developed with the required features. The imported satellite images were initially filtered and entered into the classification phase to forecast the present chemical features and suitable crops in specific soils. After detecting the chemical features, soil textures like sandy, silt, and clay were categorized; the crops like jute, rice, lentil, and potato were considered. Finally, the planned model is executed in the MATLAB environment and has gained outstanding results by achieving the lowest error rate of 8% and a high prediction score of 92%. The proposed model has achieved exact soil texture analysis for complex satellite images. The gained texture analysis outcome is quite better than other existing models.

RECENT SCHOLAR PUBLICATIONS

  • Deep Learning-Based Time-Frequency Attention Network Model for Water-Body Segmentation
    S Yechuri, S Ramadevi, M Anand, VK Velpula, G Miriyala, V Siddhartha
    Engineering Proceedings 124 (1), 72 , 2026
    2026
  • Deep Learning-based Time Frequency Attention Network Model for Water Body Segmentation
    Y Sivaramakrishna, M Anand, R Sandireddy, VK Velpula, G Miriyala
    MDPI , 2025
    2025
  • DESIGN AND ANALYSIS OF A 9GHz INSET FED MICROSTRIP PATCH ANTENNA FOR X-BAND APPLICATIONS
    Y Sivaramakrishna, M Anand, R Sandireddy, VK Velpula, G Miryala
    MDPI , 2025
    2025
  • An Optimized Soil Features Prediction Using Satellite Image Database
    M Anand, A Jain, MK Shukla
    Applied Soft Computing Techniques, 351-361 , 2025
    2025
  • Optimizing 5G Massive MIMO Systems Using DNN and DSAC-T: A Scalable Adaptive Beamforming Framework
    PMD Sandhya Bolla ,Manwinder Singh,B. Ramesh,B. Swapna,M. Anand
    APPLICATIONS OF MODELLING AND SIMULATION 9 (2025), 107-121 , 2025
    2025
    Citations: 1
  • Vertical PREDICTING THE STABILITY OF PEROVSKITE SOLAR CELLS WITH ADVANCED MACHINE LEARNING
    M Anand
    2025
  • Comparative Analysis of Soil Properties to Predict Crop Selection Using Machine Learning Algorithms
    Mallekedi Anand,Dr. Anuj Jain, Dr. Manoj Kumar Shukla
    Lovely Professional University , 2025
    2025
  • Intelligent organic matter prediction of agriculture soil using satellite images
    M Anand, A Jain, MK Shukla
    Multimedia Tools and Applications 83 (40), 88113-88136 , 2024
    2024
    Citations: 1
  • Deep learning: crop selection based on weather conditions in Tarakeswar village of Hooghly district in West Bengal
    M Anand, A Jain, MK Shukla
    Multimedia Tools and Applications 83 (10), 29715-29740 , 2024
    2024
    Citations: 6
  • Raspberry Pi Crop Recommendation Development Based on Soil and Environmental Conditions
    M Anand, A Jain, MK Shukla
    International Conference on Computational Intelligence in Machine Learning, 9-19 , 2023
    2023
  • An optimized deep network based soil texture prediction and vegetation analysis using satellite image database
    M Anand, A Jain, M Kumar Shukla
    Concurrency and Computation: Practice and Experience 35 (7), e7611 , 2023
    2023
    Citations: 5
  • SMART SYSTEMS INTEGRATED WITH UAV TO PREDICT THE ACCURATE CROP YIELD AND QUALITY OF CROP PRODUCED
    DRMKS SIRIVELLA YAGNASREE, M ANAND, DR ANUJ JAIN, NAVJOT KAUR, DR. SOMEET SINGH
    2022
  • AUTOMATIC HAND SANITIZER DISPENSER WITH OLED DISPLAY
    M Anand
    2022
  • Survey Related To Soil Quality Test Using Machine Learning
    M M Anand, Anuj Jain
    Neuroquantology 20 (10), 8785-8796 , 2022
    2022
  • Weed Detection Using Image Processing.
    M Anand, PV Mary, G Archana, P Charith
    Annals of the Romanian Society for Cell Biology 25 (6) , 2021
    2021
  • AUTOMATIC IDENTIFICATION OF BRAIN TUMOUR USING MATLAB BY FUZZY C MEANS CLUSTERING
    VPSS B. Ramu, M. Anand
    International Journal of Advanced Research in Engineering and Technology … , 2021
    2021
    Citations: 3
  • Image compression using neural networks.
    S Yagnasree, A Subramanyam, M Anand
    2021
    Citations: 1
  • Border Guard Spy Robot
    BRMAS Jyothirmaye
    TEST Engineering & Management 81, 5177 - 5180 , 2019
    2019
  • SMART HELMET
    CN M. ANAND, JELLA ABHINAV, K.SRAVANTH KUMAR
    Pramana Research Journal 9 (4), 730-735 , 2019
    2019
  • AN EFFECTIVE WAY TO HUMAN DATA INTERACTION WITH COMPUTER THROUGH INTERNET OF THINGS (IOT).
    SP Laxmi, M Anand, A Gantala
    Journal of Fundamental & Applied Sciences 10 , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • Deep learning: crop selection based on weather conditions in Tarakeswar village of Hooghly district in West Bengal
    M Anand, A Jain, MK Shukla
    Multimedia Tools and Applications 83 (10), 29715-29740 , 2024
    2024
    Citations: 6
  • An optimized deep network based soil texture prediction and vegetation analysis using satellite image database
    M Anand, A Jain, M Kumar Shukla
    Concurrency and Computation: Practice and Experience 35 (7), e7611 , 2023
    2023
    Citations: 5
  • AUTOMATIC IDENTIFICATION OF BRAIN TUMOUR USING MATLAB BY FUZZY C MEANS CLUSTERING
    VPSS B. Ramu, M. Anand
    International Journal of Advanced Research in Engineering and Technology … , 2021
    2021
    Citations: 3
  • Optimizing 5G Massive MIMO Systems Using DNN and DSAC-T: A Scalable Adaptive Beamforming Framework
    PMD Sandhya Bolla ,Manwinder Singh,B. Ramesh,B. Swapna,M. Anand
    APPLICATIONS OF MODELLING AND SIMULATION 9 (2025), 107-121 , 2025
    2025
    Citations: 1
  • Intelligent organic matter prediction of agriculture soil using satellite images
    M Anand, A Jain, MK Shukla
    Multimedia Tools and Applications 83 (40), 88113-88136 , 2024
    2024
    Citations: 1
  • Image compression using neural networks.
    S Yagnasree, A Subramanyam, M Anand
    2021
    Citations: 1
  • Deep Learning-Based Time-Frequency Attention Network Model for Water-Body Segmentation
    S Yechuri, S Ramadevi, M Anand, VK Velpula, G Miriyala, V Siddhartha
    Engineering Proceedings 124 (1), 72 , 2026
    2026
  • Deep Learning-based Time Frequency Attention Network Model for Water Body Segmentation
    Y Sivaramakrishna, M Anand, R Sandireddy, VK Velpula, G Miriyala
    MDPI , 2025
    2025
  • DESIGN AND ANALYSIS OF A 9GHz INSET FED MICROSTRIP PATCH ANTENNA FOR X-BAND APPLICATIONS
    Y Sivaramakrishna, M Anand, R Sandireddy, VK Velpula, G Miryala
    MDPI , 2025
    2025
  • An Optimized Soil Features Prediction Using Satellite Image Database
    M Anand, A Jain, MK Shukla
    Applied Soft Computing Techniques, 351-361 , 2025
    2025
  • Vertical PREDICTING THE STABILITY OF PEROVSKITE SOLAR CELLS WITH ADVANCED MACHINE LEARNING
    M Anand
    2025
  • Comparative Analysis of Soil Properties to Predict Crop Selection Using Machine Learning Algorithms
    Mallekedi Anand,Dr. Anuj Jain, Dr. Manoj Kumar Shukla
    Lovely Professional University , 2025
    2025
  • Raspberry Pi Crop Recommendation Development Based on Soil and Environmental Conditions
    M Anand, A Jain, MK Shukla
    International Conference on Computational Intelligence in Machine Learning, 9-19 , 2023
    2023
  • SMART SYSTEMS INTEGRATED WITH UAV TO PREDICT THE ACCURATE CROP YIELD AND QUALITY OF CROP PRODUCED
    DRMKS SIRIVELLA YAGNASREE, M ANAND, DR ANUJ JAIN, NAVJOT KAUR, DR. SOMEET SINGH
    2022
  • AUTOMATIC HAND SANITIZER DISPENSER WITH OLED DISPLAY
    M Anand
    2022
  • Survey Related To Soil Quality Test Using Machine Learning
    M M Anand, Anuj Jain
    Neuroquantology 20 (10), 8785-8796 , 2022
    2022
  • Weed Detection Using Image Processing.
    M Anand, PV Mary, G Archana, P Charith
    Annals of the Romanian Society for Cell Biology 25 (6) , 2021
    2021
  • Border Guard Spy Robot
    BRMAS Jyothirmaye
    TEST Engineering & Management 81, 5177 - 5180 , 2019
    2019
  • SMART HELMET
    CN M. ANAND, JELLA ABHINAV, K.SRAVANTH KUMAR
    Pramana Research Journal 9 (4), 730-735 , 2019
    2019
  • AN EFFECTIVE WAY TO HUMAN DATA INTERACTION WITH COMPUTER THROUGH INTERNET OF THINGS (IOT).
    SP Laxmi, M Anand, A Gantala
    Journal of Fundamental & Applied Sciences 10 , 2018
    2018