R. Kumaraperumal
Tamil Nadu Agricultural University
54 Papers
52 Citations
R. Kumaraperumal is an academic researcher from Tamil Nadu Agricultural University. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 5, co-authored 26 publications. Previous affiliations of R. Kumaraperumal include University of Agricultural Sciences, Dharwad.
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Papers
•Journal Article
Influence of soil organic matter on bulk density in Coimbatore soils
TL;DR: In this article, the effect of soil organic matter on the bulk density of soil as influenced by various land forms and physiography of Coimbatore has been analyzed for bulk density and soil organic carbon.
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Comparison of Machine Learning-Based Prediction of Qualitative and Quantitative Digital Soil-Mapping Approaches for Eastern Districts of Tamil Nadu, India
R. Kumaraperumal,S. Pazhanivelan,V. Geethalakshmi,Moorthi Nivas Raj,D. Muthumanickam,R. Kaliaperumal,Vishnu Shankar,Athira Manikandan Nair,Manoj Kumar Yadav,Thamizh Vendan Tarun Kshatriya +9 more
TL;DR: In this article , the authors compared a suite of six machine learning algorithms to predict quantitative (Cubist, decision tree, k-NN, multiple linear regression, random forest, support vector regression) and qualitative (C5.0, KNN, multi-inomial logistic regression, naïve Bayes, and support vector machine) soil information separately at a regional level.
Impact of tsunami 2004 in coastal villages of nagapattinam district, india
R. Kumaraperumal,S. Natarajan,R. Sivasamy,S. Chellamuthu,S.S. Ganesh,G. Anandakumar +5 more
- 01 Jan 2007
TL;DR: In this article, a study was carried out in the Tsunami affected villages in the coastal Nagapattinam with the help of remote sensing and geographical information science tools, and it was found that 1,320 ha of agricultural and non-agricultural lands were affected by the tsunami.
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Estimation of cotton and maize crop area in perambalur district of tamil nadu using multi-date sentinel-1a sar data
TL;DR: In this article, the authors investigated the capability of Synthetic Aperture Radar (SAR) data for estimation of cotton and maize area in Perambalur district of Tamil Nadu.
Mapping of coconut growing areas in Tamil Nadu, India using remote sensing and GIS
TL;DR: In this article, a study was conducted to map the coconut growing areas in Tamil Nadu, India using Survey of India Toposheet grid (1:50,000 scale) and Digital Globe data.
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