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B. Kalaiselvi results 6 · Newest (Page 1/1, per page 25)
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Soil Property Prediction with Vis-NIR Spectroscopy in Different Depths: Testing the Robustness of Topsoil-Derived ModelsNARA Subscribed
Journal of the Indian Society of Remote Sensing · 2026 · Vol. 54 · Issue 9 · Springer
K. Palani Renuka; S. Dharumarajan; M. Lalitha; R. Vasundhara; B. Kalaiselvi; A. Sathish
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Prediction of soil organic carbon stock along layers and profiles using Vis-NIR laboratory spectroscopyNARA Subscribed
CATENA · 2025 · Vol. 257 · Elsevier
S. Dharumarajan; C. Gomez; C.G. Kusuma; R. Vasundhara; B. Kalaiselvi; M. Lalitha; R. Hegde
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Promoting Agricultural Sustainability in Semi-arid Regions: An Integrated GIS–AHP Assessment of Land Suitability for Encouraging Crop DiversificationNARA Subscribed
Journal of the Indian Society of Remote Sensing · 2024 · Vol. 52 · Issue 10 · Springer
B. Kalaiselvi; M. Lalitha; Ranabir Chakraborty; S. Dharumarajan; R. Srinivasan; V. Ramamurthy; K. Karunya Lakshmi; Rajendra Hegde; K. V. Archana
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Soil order knowledge as a driver in soil properties estimation from Vis-NIR spectral data – Case study from northern Karnataka (India)NARA Subscribed
Geoderma Regional · 2023 · Vol. 32 · Elsevier
S. Dharumarajan; C. Gomez; M. Lalitha; B. Kalaiselvi; R. Vasundhara; R. Hegde
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Spatial prediction of soil depth using environmental covariates by quantile regression forest modelNARA Subscribed
Environmental Monitoring and Assessment · 2021 · Vol. 193 · Issue 10 · Springer
M. Lalitha; S. Dharumarajan; Amar Suputhra; B. Kalaiselvi; Rajendra Hegde; RS. Reddy; CR. Shiva Prasad; CS. Harindranath; BS. Dwivedi
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Spatio-seasonal variation in ambient air pollutants and influence of meteorological factors in Coimbatore, Southern IndiaNARA Subscribed
Air Quality, Atmosphere & Health · 2018 · Vol. 11 · Issue 10 · Springer
A. Manju; K. Kalaiselvi; V. Dhananjayan; M. Palanivel; G. S. Banupriya; M. H. Vidhya; K. Panjakumar; B. Ravichandran
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