S. Dharumarajan
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View article: Predicting Soil Nutrient Classes Using Vis–<scp>NIR</scp> Spectroscopy to Support Sustainable Farming Decisions
Predicting Soil Nutrient Classes Using Vis–<span>NIR</span> Spectroscopy to Support Sustainable Farming Decisions Open
Efficient nutrient management is crucial for sustainable agriculture and ecosystem health. Traditional approaches to nutrient recommendations often rely on soil nutrient classes rather than specific numerical values. Visible–Near‐Infrared …
View article: Reuse of bottom sediment from reservoirs to cropland is a promising agroecological practice that must be rationalized
Reuse of bottom sediment from reservoirs to cropland is a promising agroecological practice that must be rationalized Open
In semi-arid areas, intermittent streams are often equipped with small reservoirs to store water for irrigation and/or groundwater recharge, and to capture sediments lost through erosion. These reservoirs must be periodically desilted to m…
View article: Soil Quality Assessment and Its Spatial Variability in an Intensively Cultivated Area in India
Soil Quality Assessment and Its Spatial Variability in an Intensively Cultivated Area in India Open
Intensive agricultural practices lead to a deterioration in soil quality, causing a decline in farm productivity and quality, and disturbing the ecosystem balance in command areas. To achieve sustainable production and implement effective …
View article: Assessing the utility of Munsell soil color in building and evaluating spectral models for soil clay content prediction
Assessing the utility of Munsell soil color in building and evaluating spectral models for soil clay content prediction Open
The present study examined how the use of soil color can help build and evaluate clay content prediction models from laboratory visible and near infrared spectroscopic data. This study was based on a regional database containing 449 soil s…
View article: E-Commerce adoption and its effects on the operational performance of MSMEs
E-Commerce adoption and its effects on the operational performance of MSMEs Open
Micro, small, and medium-sized businesses (MSMEs) in the food and beverage industry are experiencing considerable growth because of their progressive use of digital media. Traditional marketing strategies have limitations in terms of time …
View article: Reviewing the Trajectory of Vis-NIR and MIR Spectroscopic Soil Studies in India
Reviewing the Trajectory of Vis-NIR and MIR Spectroscopic Soil Studies in India Open
The soils in India are highly diverse and spread across a vast geographic expanse. To address issues like food security, environmental sustainability, and economic progress, there is a need for systematic soil data. Traditional methods of …
View article: Variations in Soil Texture Using Machine Learning Models Based on the Spectral Response of Soil Samples in the Visible-Near-Infrared (Vis-NIR) Region
Variations in Soil Texture Using Machine Learning Models Based on the Spectral Response of Soil Samples in the Visible-Near-Infrared (Vis-NIR) Region Open
In this study, we systematically assessed the predictive performance of two machine learning models; Random Forest (RF) and Partial Least Squares Regression (PLSR), utilizing various pre-processing techniques for the determination of soil …
View article: Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India
Spatial Prediction of Soil Particle-Size Fractions Using Digital Soil Mapping in the North Eastern Region of India Open
Numerous applications in agriculture, climate, ecology, hydrology, and the environment are severely constrained by the lack of detailed information on soil texture. The purpose of this study was to predict soil particle-size fractions (PSF…
View article: Spectral assessment of soil properties in semi-arid tropical regions of southern Karnataka Plateau
Spectral assessment of soil properties in semi-arid tropical regions of southern Karnataka Plateau Open
The present study assessed the visible and short wave infrared (VNIR-SWIR) laboratory spectroscopy coupled random forest regression (RF) technique for predicting soil properties in the southern Karnataka Plateau, India. The spectral data a…
View article: Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data: spectral indices <i>versus</i> spectral unmixing
Impact of bare soil pixels identification on clay content mapping using airborne hyperspectral AVIRIS-NG data: spectral indices <i>versus</i> spectral unmixing Open
Hyperspectral imaging spectroscopy has facilitated the mapping of soil properties at large scales, but since the presence of photosynthetic or non-photosynthetic vegetation affects the reflectance spectra, soil properties mapping is limite…
View article: Topsoil clay content mapping in croplands from Sentinel-2 data: Influence of atmospheric correction methods across a season time series
Topsoil clay content mapping in croplands from Sentinel-2 data: Influence of atmospheric correction methods across a season time series Open
Recent studies demonstrated the capability of Sentinel-2 (S2) data to estimate topsoil properties and highlighted the sensitivity of these estimations to soil surface conditions depending on the S2 acquisition date. These estimations are b…
View article: Modelling and prediction of soil organic carbon using digital soil mapping in the Thar desert region of India
Modelling and prediction of soil organic carbon using digital soil mapping in the Thar desert region of India Open
In the present study, the distribution of soil organic carbon (SOC) was investigated using digital soil mapping for an area of ~29 lakhs ha in Bikaner district, Rajasthan, India. To achieve this goal, 187 soil profiles were used for SOC es…
View article: Soil fertility status of coconut and arecanut growing soils
Soil fertility status of coconut and arecanut growing soils Open
The present study was undertaken to assess the soil fertility status of major coconut and arecanut growing soils in different agro-climatic conditions of Karnataka. Based on the agro-climate variability, thirty typical soil pedons represen…
View article: Spatial Mapping of Soil Depth, Coarse Fragments and Textural Classes of Tamil Nadu Using Digital Soil Mapping Approach
Spatial Mapping of Soil Depth, Coarse Fragments and Textural Classes of Tamil Nadu Using Digital Soil Mapping Approach Open
Knowledge on spatial distribution of soil depth, coarse fragments and texture are crucial for land resource management and environmental soil modeling. Digital soil mapping approach helps in prediction of spatial soil information by establ…
View article: Mapping of tank silt application using Sentinel-2 images over the Berambadi catchment (India).
Mapping of tank silt application using Sentinel-2 images over the Berambadi catchment (India). Open
<p>Mapping soil properties is becoming more and more challenging due to the increase in anthropogenic modification of the landscape, calling for new methods to identify these changes. A striking example of anthropogenic modifications…
View article: Spatial Assessment of Soil Fertility Status in Shiratti Sub Watershed of Semi-arid Tropics in Southern India
Spatial Assessment of Soil Fertility Status in Shiratti Sub Watershed of Semi-arid Tropics in Southern India Open
In India 41% of the food grains produced from rainfed areas which are having 68 per cent area out of the 143 m ha net cultivated land in the country (Srinivas rao et al., 2006).In rainfed semi-arid and dry sub-humid regions, the yields of …