A5073383592- Irrigation Practices and Water Management
- Plant Water Relations and Carbon Dynamics
- Greenhouse Technology and Climate Control
- Water resources management and optimization
- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Climate change impacts on agriculture
- Climate variability and models
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Water-Energy-Food Nexus Studies
- Plant Disease Management Techniques
- Crop Yield and Soil Fertility
- Rice Cultivation and Yield Improvement
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Sugarcane Cultivation and Processing
- Research in Cotton Cultivation
- Chemical Analysis and Environmental Impact
- Peanut Plant Research Studies
- Plant responses to elevated CO2
- Water Quality and Resources Studies
- Urban Heat Island Mitigation
- Entomopathogenic Microorganisms in Pest Control
- Pesticide and Herbicide Environmental Studies
Texas A&M University
2008-2020
Texas A&M University System
2019-2020
Amarillo College
2020
Lubbock Christian University
2011-2016
University of Auckland
2014
Virginia Cooperative Extension
2008
Abstract Irrigation for crop production in the semi‐arid Texas High Plains is dependent on groundwater withdrawals from Ogallala Aquifer, which declining because exceed natural recharge. development region accelerated during 1950s. Both irrigated area and volume pumped peaked 1974 steadily declined 1974–1989. By 2004, however, was nearly same as it 1958, had increased slightly. Several strategies to reduce were reviewed without any reductions land or productivity. The most promising...
• Sustainable agriculture is complex and includes multiple interdependent goals. Sound science innovation are the keys to sustainable agriculture, already delivering results. Greater investment needed in basics of agronomy, biotechnology, plant breeding ensure that farmers consumers everywhere benefit from technology. Farmers must receive support for implementing sustainability measures, especially light downward trend commodity prices.
Highlights The progress made in agricultural irrigation scheduling the past ten years and current challenges are discussed. main scientific strategies based on soil water status, plant characteristics, crop modeling. Challenges include large time data requirements availability of decision support systems. Opportunities integration demonstrating their effectiveness through local studies. Abstract . Irrigation is process determining appropriate amount timing application to achieve desired...
Subsurface drip irrigation (SDI), although a much smaller fraction of the microirrigated land area than surface irrigation, is growing at faster rate and subject considerable research educational efforts in U.S. This article discusses growth SDI, highlights some extension efforts, points out challenges to SDI adoption future opportunities for SDI.
Abstract Drought is a complex and highly destructive natural phenomenon that affects portions of the United States almost every year, severe water deficiencies can often become catastrophic for agricultural production. Evapotranspiration ( ET ) by crops an important component in budget; thus, it advantageous to include drought monitoring. The main objectives this study were (1) conduct literature review indices with focus identify simple but simultaneously adequate index monitoring semiarid...
Accurate estimates of actual crop evapotranspiration (ET) are important for optimal irrigation water management, especially in arid and semi-arid regions. Common ET sensing methods include Bowen Ratio, Eddy Covariance (EC), scintillometers. Large weighing lysimeters considered the ultimate standard measurement ET, however, they expensive to install maintain. Although EC scintillometers less costly relatively portable, has known energy balance closure discrepancies. Previous scintillometer...
Modern sensor technologies, internet and advanced irrigation equipment allow a relative precise control of agricultural that leads to high water-use efficiency. However, the core algorithms make use these technologies have not been well studied. In this work, reinforcement learning based technique is investigated. The delayed reward crop yield handled by temporal difference technique. process can be on both off-line simulation real data from sensors yield. Neural network fast models for soil...
A sensitivity analysis was conducted to determine the relative effects of measurement errors in climate data input parameters on accuracy calculated reference crop evapotranspiration (ET) using ASCE-EWRI Standardized Reference ET Equation. Data for period 1995 2008 from an automated weather station located at USDA-ARS Conservation and Production Research Laboratory Bushland, Texas were used analysis. Results indicated that grass (ETos) alfalfa (ETrs) most sensitive wind speed air temperature...
Highlights Deep reinforcement learning-based irrigation scheduling is proposed to determine the amount of required at each time step considering soil moisture level, evapotranspiration, forecast precipitation, and crop growth stage. The methodology was compared with traditional approaches some machine learning based on simulation. Abstract. Machine has been widely applied in many areas, promising results large potential. In this article, deep proposed. This approach can automate process...
Planned reductions in subsurface drip irrigation (SDI) system uniformity the semi-arid environment of West Texas could reduce installation costs. A SDI was installed and cotton production experiment conducted from 2001 to 2006 evaluate water distribution uniformities having flow variations (Qvar) = 5%, 15%, 27% at both moderate near full levels. Flow variation treatments were established by installing irrigating with different diameter laterals field plots a complete block layout. Subsurface...
Performance evaluations and corrections of soil water sensors have not been studied using different installation orientations under various irrigation treatments in the Texas High Plains. This study evaluated performance four factory calibration derived field as compared to calibrated neutron moisture meters (NMMs). Sensor was assessed horizontal insertion, laid placement, vertical insertion at 15.2, 45.7, 76.2 cm depths a clay loam with three treatments. Results indicated factory-calibrated...
Wind incidence can affect microsprinkler water distribution. Evaluations in those conditionscan be facilitated using simulations by computational models. The present work evaluates theperformance of a ballistic model on simulating the wind effect distribution.Experimental tests were carried out self-compensating microsprinklers, nozzle sizes 1.00 mm(gray), 1.10 mm (brown), 1.48 (orange), and 1.75 (yellow). gray brown nozzlesused black swivels orange yellow nozzles used blue swivels....
Highlights Over the last 40 years amount of irrigation water used by cotton in United States has decreased while yields have increased leading to a large increase crop productivity (CWP). Many factors contributed improved CWP, such as improvements delivery systems. Irrigation scheduling technologies also CWP; however, farmer adoption advanced is still limited and there significant room for improvement. Increased from cultivars without an requirements been important CWP. Continued...