A5073951674- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Soil and Water Nutrient Dynamics
- Plant Water Relations and Carbon Dynamics
- Livestock Management and Performance Improvement
- Remote Sensing in Agriculture
- Soil Carbon and Nitrogen Dynamics
- Agricultural Economics and Practices
- Rangeland Management and Livestock Ecology
- Climate variability and models
- Agricultural Systems and Practices
- Soil Moisture and Remote Sensing
- Smart Agriculture and AI
- Flood Risk Assessment and Management
- Groundwater and Isotope Geochemistry
- Climate change impacts on agriculture
- Agriculture, Soil, Plant Science
- Research in Cotton Cultivation
- Rice Cultivation and Yield Improvement
- Tropical and Extratropical Cyclones Research
- Remote Sensing and LiDAR Applications
- Animal Ecology and Behavior Studies
- Phosphorus and nutrient management
- Parasite Biology and Host Interactions
- Tree Root and Stability Studies
Grassland, Soil and Water Research Laboratory
2022-2025
Mitchell Institute
2023
Texas A&M University System
2022
South Dakota State University
2019-2022
Punjab Engineering College
2018
Federal University Dutsin-Ma
2014
Jai Narain Vyas University
1993
Cotton boll count is an important phenotypic trait that aids in a better understanding of the genetic and physiological mechanisms cotton growth. Several computer vision technologies are available for segmentation. However, estimating number bolls segmented cluster challenging task due to complex shapes bolls. This study proposed combination spectral-spatial supervised machine learning based methods candidate recognition counting from high resolution RGB images obtained unmanned aerial...
The first phase of a national scale Soil and Water Assessment Tool (SWAT) model calibration effort at the HUC12 (Hydrologic Unit Code 12) watershed was demonstrated over Mid-Atlantic Region (R02), consisting 3036 subbasins. An R-programming based tool developed for streamflow including parallel processing SWAT-CUP (SWAT- Calibration Uncertainty Programs) to streamline computational burden calibration. Successful 415 gages (KGE ≥0.5, Kling-Gupta efficiency; PBIAS ≤15%, Percent Bias) out 553...
ABSTRACT This study aims to identify the best machine learning (ML) approach predict concentrations of biochemical oxygen demand (BOD), nitrate, and phosphate. Four ML techniques including Decision tree, Random Forest, Gradient Boosting XGBoost were compared estimate water quality parameters based on biophysical (i.e., population, basin area, river slope, level, stream flow), physicochemical properties conductivity, turbidity, pH, temperature, dissolved oxygen) input parameters. The...
A recent conversion of the grasslands to cropland degrading soil quality (SQ), and impacting erosion crop productivity in West Corn Belt (WCB) USA. The current study was conducted estimate spatial distribution at Big Sioux River (BSR) watershed scale using Geographical Information System (GIS)-enabled Revised Universal Soil Loss Equation (RUSLE). Spatial data such as weather, a digital elevation model (DEM), land use maps soils were used for assessment downloaded from easily available online...
Manure nutrient management can affect soil carbon (C) and nitrogen (N) fractions. The objective of this study was to determine the effects long-term manure mineral fertilizer applications on C N This conducted for 11 years under corn soybean rotation. rates included low (LM (4,194 kg ha−1), based crop’s phosphorus (P) requirement), medium (MM (8,081 high (HM (16,162 two times rate MM), (MF (204 recommended), (HF (224 high), control. Soil samples were collected measure HM recorded higher...
Winter rye (Secale cereale L.) is an important cover crop (CC) in the northern Great Plains (NGP), yet concerns over its establishment under variable weather conditions of this region are limitation for widespread adoption. This study evaluated impacts no-till corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation with winter CC established 2017 on (a) water quality (nitrate-N [NO3- -N], ammonia-N [NH4+ and total nitrogen [TN]) (b) soil health parameters at 0-to-15-cm depth. Data...
Abstract Reliable information on water use and availability at basin field scales are important to ensure the optimized constructive uses of available resources. This study was conducted with specific objective estimate Landsat‐based actual evapotranspiration (ETa) using Operational Simplified Surface Energy Balance (SSEBop) model across state South Dakota (SD), USA for 1986–2018 (33‐year) period. Validated ETa estimations (r 2 = 0.91, PBIAS −4%, %RMSE 11.8%) were further used understand...
Agriculture faces unprecedented challenges due to climate change, population growth, and water scarcity. These highlight the need for efficient resource usage optimize crop production. Conventional techniques forecasting hydrological response features, such as soil moisture, rely on physics-based empirical models, which necessitate significant time domain expertise. Drawing inspiration from traditional modeling, a novel temporal graph convolution neural network has been constructed. This...
Crop management involves a series of critical, interdependent decisions or actions in complex and highly uncertain environment, which exhibit distinct spatial temporal variations. Managing resource inputs such as fertilizer irrigation the face climate change, dwindling supply, soaring prices is nothing short Herculean task. The ability machine learning to efficiently interrogate complex, nonlinear, high-dimensional datasets can revolutionize decision-making agriculture. In this paper, we...
Abstract Land use land cover (LULC) and climate are the determinant factors for soil water balance. The combined effect of LULC change is great importance effective resources planning management. This study assessed hydrological impact long‐term implementation integrated crop‐livestock (ICL) system with projected scenarios on yield using Soil Water Assessment Tool model over two time periods (i.e., near future [2021–2050] far [2070–2099]). was conducted in three phases Skunk Creek watershed...
Abstract To make precision agriculture work, we need to gather a lot of critical information about the field. Unmanned aircraft systems (UAS) introduced an era on‐demand remote‐sensing data collection at fine spatial and temporal resolutions. With help UAS, detailed maps field can be generated, which farmers see how their crops are doing where they might facing challenges. These also show if farming methods working well or adjusted. In this article, we’ve provided overview current...
Abstract Impacts of integrated crop–livestock (ICL) systems on water quality have not been well studied. Water parameters were quantified for two 30‐min rainfall simulations in wheat ( Triticum aestivum L.)–cover crop, cover and rangeland grass control phases a long‐term ICL study site Mandan, ND, 2017 2018. Both pre‐graze post‐graze conducted. Nitrate‐N (NO 3 − –N), nitrite‐N 2 ammonia‐N (NH 4 + phosphate‐P (PO 3− –P), total suspended solid (TSS) concentrations loads evaluated surface...
A survey was carried out to determine the multiple incidence and compositions of gastrointestinal/helminth parasites Emin's Pouched Rat, Cricetomys emini that inhabit Semi-Arid Areas Katsina State, analyze parasitic load these parasites.Out eighty six (86) trapped caught pouched rats, 57% were females 48% males, immature sub-adult individuals per sex examined base on multiplication rate.The following detected in accordance with gastrointestinal gut parts: In alimentary canal found are...