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N. Latha Reddy

N. Latha Reddy View All

Assistant Professor (T)

School of Technology

Ms. N. Latha Reddy as Assistant Professor(T) in the Department of Computer Science and Engineering, School of Technology, The Apollo University (TAU), with effect from 02nd July 2026.

Ms. N. Latha Reddy holds a Bachelor’s degree from Swetha Institute of Technology, affiliated with Jawaharlal Nehru Technological University, Anantapur (JNTUA), and a Master’s degree from Vemu Institute of Technology, also affiliated with JNTUA. She is currently pursuing her Ph.D. at Vellore Institute of Technology (VIT), Vellore.

She brings over 7.5 years of teaching experience. She has supervised more than 2 students’ projects at UG and PG Levels. She has published 03 research articles in reputed International and National Journals and has presented one research paper at an International Conference. During her previous employment, Ms. Latha Reddy actively contributed to several academic and administrative responsibilities, serving as a Project Coordinator and NAAC & NBA Coordinator. She is proficient in programming languages including C, Java, HTML, and CSS.

Her research interests include deep learning for soil texture classification, soil image analysis, and intelligent crop recommendation using Artificial Intelligence and Python.

 

    • Graduation In :

      CSE

    • Graduation From :

      Swetha Institution of Technology&Science-JNTU(A)

    • Graduation Year :

      2012

    • Post Graduation In :

      CS

    • Post Graduation From :

      Vemu Institute of Technology-JNTU(A)

    • Post Graduation Year :

      2017

    • Doctorate In :

      CSE

    • Doctorate From :

      Vellore Institute of Technology

    • Doctorate Year :

      Pursuing

    • 7.5

  • Publications in Journals

    1.Published a paper entitled as “Advanced deep learning framework for soil texture classification” Scientific Reports, 15(1), 34407 ,2025.

    2.Published a paper entitled as “Analysis of IoT Applications in Highly Precise Agriculture Farming” in “Recent Patents on Engineering” Volume XIX, Issue II, and January/2025.

    3.Published a paper entitled as “Deep Learning-Based Soil Texture Segmentation with YOLOv8 Model” in International journal of Basic and Applied Sciences, https://doi.org/10.14419/z5kryf33.

    Publications in Conferences

    1.Published a paper titled “Soil Texture Analysis Using Genetic Approaches”. In Hybrid Intelligent Systems: 23rd International Conference on Hybrid Intelligent Systems (HIS 2023), December 11-13, 2023, Volume 5: Real World Applications (p. 300). Springer Nature.