A5078682084- Hydrology and Watershed Management Studies
- Rice Cultivation and Yield Improvement
- Water resources management and optimization
- Soil erosion and sediment transport
- Climate change impacts on agriculture
- Irrigation Practices and Water Management
- Groundwater and Watershed Analysis
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Crop Yield and Soil Fertility
- Groundwater flow and contamination studies
- Water-Energy-Food Nexus Studies
- Plant Water Relations and Carbon Dynamics
- Agricultural Science and Fertilization
- Agricultural Economics and Practices
- Groundwater and Isotope Geochemistry
- Agriculture Sustainability and Environmental Impact
- Land Use and Ecosystem Services
- Solar Radiation and Photovoltaics
- Hydrology and Sediment Transport Processes
- Soil Carbon and Nitrogen Dynamics
- Soil and Land Suitability Analysis
- Social and Economic Development in India
- Greenhouse Technology and Climate Control
- Conservation, Biodiversity, and Resource Management
International Management Institute
2023-2024
Indian Agricultural Research Institute
2020-2024
Indian Institute of Soil and Water Conservation
2006-2021
Indian Council of Agricultural Research
2017
Resource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models that capture interactions between soil water nutrient dynamics, crop growth, climate farmer management can assist the evaluation such new One model is Agricultural Production Systems Simulator...
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted attention researchers worldwide. this investigation, we examined performance employing four meta-heuristic algorithms, namely, support vector machine (SVM), random tree (RT), reduced error pruning (REPTree), subspace (RSS) for simulating daily pan (EPd) at two...
The increasing availability of complex, geo-referenced on-farm data demands analytical frameworks that can guide crop management recommendations. Recent developments in interpretable machine learning techniques offer opportunities to use these methods agronomic studies. Our objectives were two-fold: (1) assess the performance different explain wheat yield variability Northwestern Indo-Gangetic Plains India, and (2) identify most important drivers interactions explaining variability. A suite...
Reference evapotranspiration (ET0) is one of the crucial variables used for irrigation scheduling, agricultural production, and water balance studies. This study compares six different models with sequential inclusion meteorological input such as minimum temperature (Tmin), maximum (Tmax), mean relative humidity (RH), wind speed (SW), sunshine hours (HSS), solar radiation (RS), which are necessarily in physical or empirical-based to estimate ET0. Each model utilized three variants machine...
The Indo-Gangetic Plains (IGP) in north-west (NW) India are facing a severe decline ground water due to prevalent rice-based cropping systems. To combat this issue, conservation agriculture (CA) with an alternative crop/s, such as maize, is being promoted. Recently, surface drip fertigation has also been evaluated viable option address low-nutrient use efficiency and scarcity problems for cereals. While the individual benefits of CA sub-surface (SSD) irrigation on economy well-established,...
Abstract Agricultural field experiments are costly and time-consuming, often struggling to capture spatial temporal variability. Mechanistic crop growth models offer a solution understand intricate crop-soil-weather system, aiding farm-level management decisions throughout the growing season. The objective of this study was calibrate Crop Environment Resource Synthesis CERES-Maize (DSSAT v 4.8) model simulate growth, yield, nitrogen dynamics in long-term conservation agriculture (CA) based...
Assessing climate change impact on hydrology and biomass yield of a tropical river basin is necessary for formulating suitable coping strategy. A hydrological modelling framework was established Subarnarekha through calibration validation SWAT model with the observed discharge at four gauging locations. The global sensitivity analysis performed to establish robustness stability reproduce outputs resultant various extremes precipitation other weather events. 5-GCMs, namely HadGEM2-ES,...
Context Agricultural field experiments are costly and time-consuming, their site-specific nature limits ability to capture spatial temporal variability. This hinders the transfer of crop management information across different locations, impeding effective agricultural decision-making. Further, accurate estimates benefits risks alternative nutrient options crucial for decision-making in agriculture. Objective The objective this study was utilize Crop Environment Resource Synthesis...
ABSTRACT Accurate prediction of pan evaporation and mean temperature is crucial for effective water resources management, influencing the hydrological cycle impacting availability. This study focused on New Delhi's semi-arid climate, data spanning 31 years (1990–2020) were used to predict these variables using advanced algorithms such as Bagging, Random Subspace (RSS), M5P, REPTree. The models rigorously evaluated 10 performance metrics, including correlation coefficient, absolute error...
Abstract The hydrologic behaviour of the Brahmani River basin (BRB) (39,633.90 km2), India was assessed for base period (1970–1999) and future climate scenarios (2050) using Soil Water Assessment Tool (SWAT). Monthly streamflow data 2000–2009 2010–2012 used calibration validation, respectively, performed satisfactorily with Nash-Sutcliffe Efficiency (ENS) 0.52–0.55. projected climatic outcomes HadGEM2-ES model indicated that minimum temperature, maximum precipitation may increase by...
In eastern India, the rice-wheat cropping system (RWCS) faces challenges like poverty, fragmented landholdings, and resource overexploitation, with smallholder farmers prioritizing short-term gains through excessive water nitrogen use. To address these issues, our study combined field experiments DNDC crop simulation model to evaluate resilience, viability, environmental sustainability of RWCS under conservation agriculture (CA) varying irrigation methods rates at International Rice Research...
The soil and water assessment tool (SWAT) was employed to evaluate hydrological fluxes in the Subarnarekha river basin, a coastal tropical region India. study utilized spatially explicit approach, dividing area into discrete sub-basins (166 units) subdividing them hydrologic response units (HRUs) 1335 units, based on exclusive combinations of slope, land use, combinations. With an 26105 km2 surface elevations ranging from 0 1172 m above mean sea level (amsl), basin predominantly features...
Appraisal of water resources at tempo-spatial scales enables proper planning for resource utilization and efficient management sustainable development. Water availability in the Kurukshetra district is declining due to indiscriminate withdrawal groundwater aquifers. Therefore, this investigation aimed carry out a accounting exercise district, Haryana, estimate present use irrigation sector. methodology based on balance concept estimation various components viz., surface water, groundwater,...
Efficient groundwater management through judicious irrigation scheduling can be accomplished by using the data of actual evapotranspiration (ETact), deep percolation loss (DPL) and surface runoff (SR). In data-scarce regions, water budgeting approach satellite-derived an alternative to estimate different balancing parameters. present study operational simplified energy balance (SSEBop) model derived ETact based on moderate resolution imaging spectroradiometer (MODIS ET) fractions was used...