N. Hemalatha

National Institute of Technology Karnataka — India

Biochemistry, Genetics and Molecular Biology · Life Sciences

5h-index98citations43works0.32yr avg
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Research Topics

Machine Learning in Bioinformatics(11), Smart Agriculture and AI(10), Genomics and Phylogenetic Studies(9), Genetic Mapping and Diversity in Plants and Animals(5), Spectroscopy and Chemometric Analyses(4)

Publications43 total

Decoding the coconut–Phytophthora conflict: insights from dual RNA-seq analysis
Journal of Plant Pathology·2025
A Lightweight Machine Learning Framework for Banana Leaf Disease Classification Using Interpretable Handcrafted Features
Cureus Journal of Computer Science.·2025Open Access
Interpretable Deep Learning for Banana Leaf Disease Detection Using Dense Convolutional Models
Cureus Journal of Computer Science.·2025Open Access
Development of CRISPR-Cas9 Algorithm for Designing gRNAs for Polyploid Sugarcane
Sugar Tech·2025
Dual RNA-seq analysis unveils the molecular interactions between coconut (Cocos nucifera L.) and Phytophthora palmivora, the bud rot pathogen
Research Square (Research Square)·2024Open Access
Study on advancement in bioinformatics for crop improvement: integrating genomics, phenomics, and machine learning
2024· 1 citedOpen Access
Agricultural bioinformatics and machine learning techniques in Areca nut disease and crop improvement – a review
2024· 1 citedOpen Access
COCONUT PALM DISEASES CAUSED BY FUNGI, BACTERIA, PHYTOPLASMA AND VIRUS – AN ULTIMATUM TO PALMS OF GLOBAL ECONOMY
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Sign Language Detection
South Asian Journal of Engineering and Technology·2023· 3 citedOpen Access
Computational Yield Prediction of Rice Using KNN Regression
Algorithms for intelligent systems·2023· 3 cited
Computational Prediction of Plastic Degrading Microbes Using Random Forest
Algorithms for intelligent systems·2023
Classification of Fruits and Vegetables using Machine and Deep Learning Approach
2022· 5 cited
Contributors
Elsevier eBooks·2022
Sugarcane leaf disease detection through deep learning
Elsevier eBooks·2022· 38 cited
Classification of fruits and vegetables using ResNet model.
2021· 8 citedOpen Access
Computational Prediction of Disease Detection and Insect Identification using Xception model
2021· 8 citedOpen Access
Prediction of Plastic Degrading Microbes
2021· 2 cited
AIRLINE PASSENGER SATISFACTION PREDICTION USING MACHINE LEARNING ALGORITHMS
Redshine Archive·2020· 1 citedOpen Access
Identification of Plant disease in leaves, using Deep Neural Networks
International Journal of Recent Technology and Engineering (IJRTE)·2020· 1 citedOpen Access
Computational prediction tool for Leafy Cotyledon Proteins (LEC) in oil palms and date palms
2017
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Frequent Co-authors

M. K. Rajesh(9), N. K. Narayanan(6), Rajesh M.K.(3), Manoharan Rajesh(3), S. Naganeeswaran(3), R.N. Brunda(2), G.S. Prakruthi(2), Omkar Subbaram Jois Narasipura(2), Raji Sukumar(2), W. Akhil(2), Raji Vinod(2), Mohammed Moideen Shihab(2), Torlikonda Akhil(2), T.P. Jamshinath(2), Anil Paul(2), Bharath AR(2), Sreekumar KM(2), K. P. Gangaraj(2), Ashok Kumar Jangam(2), V. H. Prathibha(2)