A5059422512- Irrigation Practices and Water Management
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Greenhouse Technology and Climate Control
- Smart Agriculture and AI
- Soil and Unsaturated Flow
- Water Quality Monitoring Technologies
- Climate change impacts on agriculture
- Advanced Measurement and Detection Methods
- Industrial Technology and Control Systems
- Precipitation Measurement and Analysis
- Remote Sensing in Agriculture
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Urban Heat Island Mitigation
- Korean Urban and Social Studies
- Leaf Properties and Growth Measurement
- Light effects on plants
- Agricultural risk and resilience
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Urbanization and City Planning
- Soil erosion and sediment transport
- Water resources management and optimization
- Image Enhancement Techniques
- Image and Video Stabilization
University of Nebraska–Lincoln
2017-2024
Clemson University
2014-2017
China Automotive Engineering Research Institute
2012
There is a growing interest of using canopy temperature (Tc) based methods, including crop water stress index (CWSI), for irrigation management. However, different approaches exist to normalize Tc microclimatic conditions, which can influence the accuracy and suitability CWSI scheduling. This study evaluated performance computation their sensitivity changes in soil depletion under levels. were six – two empirical methods developed lower baseline (i.e., CWSI-EB1, CWSI-EB2), either artificial...
Irrigation water management using automated irrigation decision support system (IDSS) as a smart scheduling tool can improve use efficiency and crop production, especially under circumstances of limited supply. The current study evaluated the performance different artificial intelligence (AI) algorithms their ensembles in forecasting Crop Evapotranspiration (ETc) Water Stress Index (CWSI) against calculated single coefficient FAO56 ETc Jackson's theoretical CWSI, respectively. Soil moisture,...
Soil moisture monitoring is one of the methods that farmers can use for irrigation scheduling. Many sensor types and data logging systems have been developed this purpose over years, but their widespread adoption in practical scheduling still limited due to a variety factors. Important factors limiting soil sensing technology by include high cost difficulties timely collection interpretation. Recent developments open source microcontrollers (such as Arduino), wireless communication,...
Accurate monitoring of soil water status can be an important component precision irrigation management. A variety commercial sensors measure by relating sensor electrical output to content or potential. However, also affected characteristics other than content, such as texture, salinity, and temperature. This makes it difficult accurately interpret without prior on-site calibration. In this study, we investigated the impact texture on response three types commonly used monitor status,...
<b>Highlights</b> <list list-type=bullet><list-item> Nine soil moisture sensors were evaluated in two types under different installation orientations. </list-item><list-item> Sensor-specific and soil-specific calibration functions developed validated. Sensor performance improved substantially (31% to 89%) after calibration. On average, sensor was 67% better loamy sand than silt loam soil. </list-item></list> <b>Abstract</b>. Reliable information is vital for optimal irrigation management,...
Abstract Real‐time irrigation schedules have been shown to outperform predetermined that do not consider the present state and requirements. However, implementing real‐time scheduling requires reliable soil‐crop‐atmosphere dynamics weather predictions; moreover, enabling farmers adopt recommended water applications remains challenging as they rely on personal experience knowledge. Farmers computer‐based tools are rarely connected in a closed‐loop farmers' feedback usually incorporated into...
The development of a (layer of) thatch in turfgrass causes important changes to near-surface eco-hydrological processes. In this study, we investigated the effects thatch, specifically Kentucky bluegrass (Poa pratensis L.) and red fescue (Festuca rubra on water infiltration, surface runoff, soil moisture evaporation. thatches were collected from field for controlled experiments using packed columns under various rainfall conditions. Results indicated that presence delayed onset infiltration...
Groundwater resources in Nebraska, U.S. are closely monitored by 23 Natural Resources Districts (NRDs) located across the state. Growers who use groundwater for irrigation required to have flow meters installed at wells monitor their water usage. However, many of these still being read and recorded through in-person visits, which can be time-consuming costly. Although some Nebraska remotely telemetry-enabled camera systems, yearly telemetry costs high making long-term operation financially...
HIGHLIGHTS University extension has been playing a larger role, serving number of irrigated farms. Extension programs in irrigation water management (IWM) have transitioning away from lectures and field tours as the primary means knowledge transfer. New IWM focus on experiential learning, development practitioner networks, industry participation. Abstract . Promotion adoption technology, tools, best practices are important availability concerns addressed. Traditional relied lecture...
Canopy cover (CC) is an important indicator for crop development. Currently, CC can be estimated indirectly by measuring leaf area index (LAI) using commercially available hand-held meters. However, it does not capture the dynamics of CC. Continuous monitoring essential dry edible beans production since affect water use, weed, and disease control. It also helps growers to closely monitor "yellowness", or senescence decide proper irrigation cutoff timing allow down harvest. Therefore, goal...
Abstract Crop rotation in combination with tillage can improve productivity, enhance economical return, and reduce soil erosion. The objective of this study was to evaluate the impact moldboard plow (MP), strip (ST), no‐tillage (NT), crop rotations on: (1) yield; (2) chemical properties; (3) particulate organic matter (POM). initiated 2007 at University Nebraska‐Lincoln Panhandle Research Extension Center near Scottsbluff, NE. Crops were corn (C; Zea mays L.) dry bean (DB; Phaseolus vulgaris...
Accurate soil moisture content measurements are vital to precision irrigation management. Remote sensing using the microwave spectrum (such as GPS signals) has been used for measuring large area contents. In our previous work, we estimated surface contents bare a Delay Mapping Receiver (DMR) developed by NASA. However, effect of vegetation was not considered in these studies. Hence objectives this study were to: 1) investigate feasibility DMR determine cotton production fields; 2) evaluate...
<abstract> <b><sc>Abstract.</sc></b> A global challenge for the coming decades will be increasing food and fiber production with less water. This can partially achieved by water productivity (WP) or crop use efficiency (WUE), i.e., yield biomass produced per unit used. Cotton ( L.) is a major rainfed irrigated in U.S. worldwide. While there abundant information on cotton relationships drier regions, relevant field data modeling humid regions not well developed. Robust models help complement...
Highlights Within-field variability was larger for individual depths than the profile average across multiple depths. Distributions of were approximately normal, with increasing variances as soil drying. Probability theory applied to quantify effect sensor set number on irrigation scheduling. The benefit additional sensors sets may decrease longer cycles and more heterogeneous fields. Abstract. Even when located within same field, units moisture rarely report identical values. Such...