A5007383241- Hydrological Forecasting Using AI
- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Irrigation Practices and Water Management
- Greenhouse Technology and Climate Control
- Climate variability and models
- Solar Radiation and Photovoltaics
- Hydrology and Drought Analysis
- Soil Moisture and Remote Sensing
- Soil erosion and sediment transport
- Flood Risk Assessment and Management
- Soil Geostatistics and Mapping
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Water Quality Monitoring Technologies
- Rice Cultivation and Yield Improvement
- Agricultural Economics and Practices
- Water resources management and optimization
- Ergonomics and Musculoskeletal Disorders
- Remote Sensing in Agriculture
- Agricultural Engineering and Mechanization
- Soil Mechanics and Vehicle Dynamics
- Groundwater and Watershed Analysis
- Remote Sensing and Land Use
- Water Quality Monitoring and Analysis
- Microplastics and Plastic Pollution
National Bureau of Soil Survey and Land Use Planning
2024-2025
ICAR - Central Island Agricultural Research Institute
2019-2024
Indian Council of Agricultural Research
2021-2023
Vignan's Foundation for Science, Technology & Research
2017-2018
Acharya N. G. Ranga Agricultural University
2018
National Academy of Agricultural Research Management
2018
Indian Institute of Technology Kharagpur
2013-2016
Indian Institute of Technology Indore
2015
This study introduces the utility of second-order neural network (SONN) method to model reference evapotranspiration (ET0) in different climatic zones India. The daily climate data minimum and maximum air temperatures, relative humidity, wind speed, solar radiation from 17 locations India were used as inputs SONN models estimate ET0 corresponding FAO-56 Penman-Monteith (FAO-56 PM) method. With same inputs, for all first-order networks such feed forward back propagation (FFBP-NN) also...
Soil depth is essential for eco-hydrological modeling, carbon storage estimation, and land evaluation, yet its spatial variation often poorly understood rarely mapped, particularly in complex landscapes with limited sample sizes. Digital soil mapping, employing various machine learning methods, has become crucial predicting mapping attributes. This study investigates distribution Rajasthan Gujarat, India, using techniques. A total of 37 environmental variables were examined to identify...
Abstract The climate change effects are eliciting a worldwide search for solutions to reduce carbon (C) and nitrogen (N) emissions from agricultural soils, especially in semi‐arid areas. Therefore, it is crucial explore new dimensions perspectives enhancing subsurface soil C sequestration, particularly soils of areas, where most the N lost because oxidation. Our approach involves adjusting crops cropping systems improve subsoil sequestration. We therefore studied impact long‐term land use...
One of the emerging challenges in 21th century era is collecting and handling ‘Big Data’. The definition big data changes from one area to other over time. Big as its name implies unstructured that very big, fast, hard comes many forms. Though applications was confined information technology before 21st technology, now it almost all engineering specializations. But for water managers/engineers, showing promise related such planning optimum systems, detecting ecosystem through remote sensing...
The potential of generalized machine learning models developed for crop water estimation was examined in the current study. Extreme Gradient Boosting (XGBoost), Machine (GBM), and Random Forest (RF) are three ensembled that were using all data from a single location 1976 to 2017 then immediately applied at eleven different locations without need any local calibration. For test period January 2018 June 2020, model's capacity estimate numerical values requirement (Pen-man-Monteith...
In this paper, generalized wavelet-neural network (WNN) based models were developed for estimating reference evapotranspiration (ETo) corresponding to Hargreaves (HG) method different agro-ecological regions (AERs): semi-arid, arid, sub-humid, and humid in India. The input target the WNN are climate data (minimum maximum air temperature) ETo (estimated from FAO-56 Penman Monteith method), respectively. compared with various conventional such as artificial neural networks (ANN), linear...
The evapotranspiration of the wheat crop grown in Tarafeni South Main Canal (TSMC) irrigation command area West Bengal, India was estimated based on Normalized Difference Vegetation Index (NDVI) from LANDSAT images. (ETc) using coefficient (Kc) maps and reference (ETo) TSMC area. ETo well known temperature estimation method, i.e. FAO-24 modified Blaney-Criddle method measured maximum minimum air temperatures data during January 2011 Kc were mapped ARC GIS software procured images for study...
This study focuses on the application of generalized wavelet neural network (GWNN) models corresponding to FAO-56 Penman Monteith (FAO-56 PM), Turc, and Hargreaves (HG) methods for estimating daily reference evapotranspiration (ETo). The pooled climate data from 15 different locations under 4 agro-ecological regions (AERs: semi-arid, arid, sub-humid, humid) in India are used as an input GWNN models. inputs include three combinations (minimum maximum air temperatures, minimum relative...
This paper aims at developing generalized higher-order synaptic neural (GHSN), i.e., quadratic (GQSN) and cubic (GCSN), reference evapotranspiration (ETo) models corresponding to various methods. The GHSN (GHSNs) were developed using pooled climate data of different locations under four agroecological regions (semiarid, arid, subhumid, humid) in India. inputs for the development GHSNs include daily minimum maximum air temperatures, relative humidity, wind speed, solar radiation, pan...
The temperatures of sewage water were too low in cold climatic regions Baltic Sea, which resulted inefficiency denitrification treatment process (STP). This is not prescribed to meet the effluent nitrogen levels (<10 mg/l) as per Urban Wastewater Treatment Directive 98/15/EC. In order improve efficiency and subsequent removal from municipal wastewater above European Commission guidelines, modified was formulated with pre-anaerobic post-aerobic activated processes. includes rise ambient...
In this study, ‘observed rice yield (ton acre-1)’ and ‘remotely sensed backscatter’are modelled using artificial neural network (ANN) multiple linear regression (MLR) methods for East West Godavari districts of Andhra Pradesh in India. The biophysical variables viz. backscatter (bs), normalized difference vegetation index (NDVI), Chlorophyll (chfl), fraction absorbed photosynthetically active radiation (FAPAR), leaf area (LAI), canopy water content (CWC), cover (Fcover) were derived from...
The selection of an economical pipe size for pumping plant and pipelines (mains submains) in pressurized irrigation system should be based on careful economic analysis. A small diameter may require a lower initial investment, but the head loss due to friction is greater this increases power cost. Similarly, larger involves higher investment with less In study, various mathematical or empirical models were formulated select diameter. These six different materials such as reinforced cement...
Water erosion is one of the major land degradation problems all over globe, and its accurate quantification in different use contexts required order to propose suitable conservation measures curtail related hazards. In Andaman Nicobar (A&N) Islands, changes due faster urbanization deforestation practices have led accelerated at many points around inhabited Islands. Moreover, agricultural uses A&N Islands are vulnerable severe soil erosion, mainly cultivation along steep slopes...