N. S. Sudarmanian

Calibration and Validation of DSSAT CROPGRO Peanut Model for Yield and Yield Attributing Characters of Groundnut Varieties in Northern Agro-Climatic Zone of Tamil Nadu

S. Thirumeninathan, S. Pazhanivelan, N. S. Sudarmanian, K. P. Ragunath, A. Gurusamy & N. Sritharan · International Journal of Environment and Climate Change · 2021

Aim: The research study was conducted to calibrate and validate the DSSAT CROPGRO peanut model for simulating the potential yield of groundnut to deciding the best possible management options at major growing areas of Northern Agro-Climatic zone of Tamil Nadu. Study Design:  The...

Open access Research Article 10.9734/ijecc/2021/v11i1130535

Estimating Genetic Parameters for DSSAT CROPGRO-Cotton Model Calibration and Validation

G. Srinivasan, S. Pazhanivelan, S. Murali Krishnasamy, N. S. Sudarmanian, S. Rajeswari & Balaji Kannan · International Journal of Plant & Soil Science · 2021

DSSAT CROPGRO-Cotton Model (version 4.7.5) was generally used to forecast the effect of climate change on productivity. The objective of this study was to calibrate and validate this model in Tamil Nadu, India for simulation of development, growth and seed cotton yield of Suraj c...

Open access Research Article 10.9734/ijpss/2021/v33i2430764

Using Sentinel 1A (SAR) and Sentinel 2 Data for Assessing Water Spread Dynamics and Crop Diversification in Lower Palar Sub Basin, Tamil Nadu, India

Sellaperumal Pazhanivelan, M. Vairavamani, K.P. Ragunath, R. Kumaraperumal, N. S. Sudarmanian, S. Manikandan & S. Satheesh · International Journal of Environment and Climate Change · 2025

Sentinel-1A Synthetic Aperture Radar (SAR) satellite is highly beneficial for continuously monitoring the evaluating changes in agricultural areas and water spread area assessment. Having reliable information about water availability is crucial for effective regional planning. By...

Open access Research Article 10.9734/ijecc/2025/v15i24735

Intercomparision of Drone and Conventional Spraying Nutrients on Crop Growth and Yield in Black Gram

P. Nandhini, D. Muthumanickam, R. S. Pazhanivelan, R. Kumaraperumal, K. P. Ragunath & N. S. Sudarmanian · International Journal of Plant & Soil Science · 2022

An experiment was conducted to reveal the effect of drone spraying of foliar nutrients on the crop growth and yield in black gram at Agricultural Research station, Bhavanisagar in Random block design with 12 treatments with 3 replications. The biometric parameters viz., plant hei...

Open access Research Article 10.9734/ijpss/2022/v34i2031231

Area Assessment for Rice Crop in Thiruvarur District Assimilating Sentinel 1A Satellite Data

S. Satheesh, S. Pazhanivelan, R. Kumaraperumal, S. Radhamani, K. P. Ragunath & N. S. Sudarmanian · International Journal of Environment and Climate Change · 2022

This study proposes an effective method to map rice area using the Sentinel-1A SAR (Synthetic Aperture Radar) time series data over the Thiruvarur district during samba 2021. Fully automated MAPscape-Rice software was used to pre-process the SAR data and extraction of multi-tempo...

Open access Research Article 10.9734/ijecc/2022/v12i1030924

Generating Soil Parent Material Environmental Covariates Using Sentinel – 2A Images for Delineating Soil Attributes

M. Nivas Raj, R. Kumaraperumal, S. Pazhanivelan, D. Muthumanickam, K. P. Ragunath, M. Ashmitha Nihar & N. S. Sudarmanian · International Journal of Environment and Climate Change · 2022

Soil mapping procedures typically involve the combination of possible soil-forming SCORPAN factors. Among the factors, parent materials/ mineralogy has been considered important for the soil classification besides the Organisms (O) and Relief (R). Inclusion of the parent material...

Open access Research Article 10.9734/ijecc/2022/v12i1030922