Soil Macronutrients Analysis of Vaijapur Taluka from Spectral Signatures Using Hyperspectral Non-Imaging Data

Pratibha R.Bhise; Sonali B.Kulkarni; Vipin Y.Borole

doi:10.71097/IJSAT.v16.i2.5802

Soil Macronutrients Analysis of Vaijapur Taluka from Spectral Signatures Using Hyperspectral Non-Imaging Data

Author(s)	Pratibha R.Bhise, Sonali B.Kulkarni, Vipin Y.Borole
Country	India
Abstract	As we know soil is a vital part of the environment, survival and humanistic welfare .Soil is formed by minerals, organic matter and living organism components. From the point of view of agriculture, the soil offers support to plants and acts as a reservoir of water and nutrients Soil physical, biological and chemical properties plays a very crucial role in agricultural sector. Accelerated low cost and predictable assessment of soil quality under agricultural management is necessary to accomplish convenient observation of the effects of various management practices on soil conditions to avoid soil degradation and ensure feasible soil productivity and also soil security for improvement of agriculture sector . The objective of this study is to find soil macronutrient contents from top surface (0-20cm) of agricultural soil. FieldSpec4 Spectroradiometer (350-2500 nm) is a rapid, non-destructive, and cost-effective, time consuming tool for predicting the soil properties such as soil texture, water, carbon, nitrogen, phosphorus to better crop production .We also analyze soil samples using traditional laboratory methods .To achieve these objectives some preprocessing techniques and several statistical procedures were implemented using partial least squares-regression (PLSR).Partial least square regression gives us results for successfully estimation of soil characteristics such as Soil Moisture (RMSE :0.00097 R-square :0.99780 calibration and validation RMSE :0.0011 R-square 0.9971), For Nitrogen(RMSE :0.0012 R-square :0.9974 calibration and validation RMSE :0.0013 R-square 0.9972) Carbon(RMSE :0.0017 R-square :0.9943 calibration and validation RMSE :0.0019 R-square 0.9928), Phosphorus(RMSE :0.0015 R-square :0.9953 calibration and validation RMSE :0.0016 R-square 0.9947).All preprocessing, statistical analysis and classification have done using R-tool, ViewSpec and Uncrambler 10.5 software
Keywords	PLSR,FieldSpec4 Spectroradiometer, ViewSpec
Field	Computer
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-11
DOI	https://doi.org/10.71097/IJSAT.v16.i2.5802
Short DOI	https://doi.org/g9qqw3

View / Download PDF File

doi

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads

Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 16 Isu 3 Cover Page Vol 16 Isu 2 Cover Page Vol 16 Isu 1

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Soil Macronutrients Analysis of Vaijapur Taluka from Spectral Signatures Using Hyperspectral Non-Imaging Data

Share this