C.Kiruthiga

@dgvaishnavcollege.edu.in

Assistant Professor, PG Department of Information Technology and BCA
Dwaraka Doss Goverdhan Doss Vaishnav College

C.Kiruthiga


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https://researchid.co/csnkirthi

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Computer Vision and Pattern Recognition, Agricultural and Biological Sciences
2

Scopus Publications

16

Scholar Citations

1

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Data-Driven Insights: A Critical Analysis of Farmer Call Centre Data Using Machine Learning Techniques
    C. Kiruthiga, K. Dharmarajan
    International Journal of Computational and Experimental Science and Engineering, 2025
    The agricultural sector plays a crucial role in India's economy, society, and environment. Agriculture is the primary source of livelihood for a significant portion of the Indian population, employing over half of the country's workforce. It contributes substantially to the Gross Domestic Product (GDP) and remains a vital sector for rural development and poverty alleviation. Experts use different kinds of smart systems to figure out problems on farms and find possible solutions. The systems help the experts collect and analyze information regarding the issues farmers meet. This study aimed to investigate the query data from Kisan Call Centers (KCCs) from 2020 to 2023 to identify key issues, understand farmers' challenges, and provide data-driven policy and program development insights. Python was used for data processing, Power BI for visualization, and Machine learning algorithms and Natural Language Processing libraries for query analysis
  • Machine Learning in Soil Borne Diseases, Soil Data Analysis & Crop Yielding: A Review
    C. Kiruthiga, K. Dharmarajan
    Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2023, 2023
    The agricultural study is critically important from a financial perspective. Research areas in agriculture are demand prediction, crop yielding prediction, soil classification, diseases, and weed detection Another dimension of agriculture is horticulture, it provides economic development, and healthy foods to society. Soil is critical for increasing crop yields, the quality of food, and its healthiness and nutritive quality. But with the right use of organic fertilizers and other modern tools and techniques, it may be enhanced. Experts use data mining and machine learning algorithms like support vector machines (SVMs), Naive Bayes (NBs), decision trees (DTs), and linear discriminant analyses (LDAs) to make predictions and draw conclusions from agricultural data (CNN). This paper comprises a review of the Machine Learning Algorithm in the soil data analysis and soil-borne diseases and Crop yielding.

RECENT SCHOLAR PUBLICATIONS

  • A Survey on Domain-Specific Auto Spelling Correction using Natural Language Processing
    KD C. Kiruthiga
    International Journal of Scientific Research in Engineering and Management … , 2026
    2026.0
  • Data-Driven Insights: A Critical Analysis of Farmer Call Centre Data Using Machine Learning Techniques
    KD C. Kiruthiga
    International Journal of computational and Experimental Science and … , 2025
    2025.0
  • Clustering Algorithms for Queries: A Comparative Analysis of ‎Farmer Call Center Data
    KD C. Kiruthiga
    International Journal of Basic and Applied Sciences, 10.14419/7cvtfq26 14 … , 2025
    2025.0
  • Machine learning in soil borne diseases, soil data analysis & crop yielding: a review
    C Kiruthiga, K Dharmarajan
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023.0
    Citations: 16
  • RESIDUAL MULTI-LAYERED PERCEPTRON DESIGN AND ANALYSIS
    C Kiruthiga, K Dharmarajan

MOST CITED SCHOLAR PUBLICATIONS

  • Machine learning in soil borne diseases, soil data analysis & crop yielding: a review
    C Kiruthiga, K Dharmarajan
    2023 International Conference on Intelligent and Innovative Technologies in … , 2023
    2023.0
    Citations: 16
  • A Survey on Domain-Specific Auto Spelling Correction using Natural Language Processing
    KD C. Kiruthiga
    International Journal of Scientific Research in Engineering and Management … , 2026
    2026.0
  • Data-Driven Insights: A Critical Analysis of Farmer Call Centre Data Using Machine Learning Techniques
    KD C. Kiruthiga
    International Journal of computational and Experimental Science and … , 2025
    2025.0
  • Clustering Algorithms for Queries: A Comparative Analysis of ‎Farmer Call Center Data
    KD C. Kiruthiga
    International Journal of Basic and Applied Sciences, 10.14419/7cvtfq26 14 … , 2025
    2025.0
  • RESIDUAL MULTI-LAYERED PERCEPTRON DESIGN AND ANALYSIS
    C Kiruthiga, K Dharmarajan