Results 141 to 150 of about 25,084 (264)

Turning Water to Wine: An Analysis of Texas Wine Industry Water Management

Irrigation and Drainage, EarlyView.
ABSTRACT The Texas wine industry is expanding in scale and reputation during a period when sustainability concerns are increasingly visible and valuable to grape growers and wine producers in Texas. Most vineyard hectarage in Texas is in the High Plains and Hill Country American Viticultural Areas (AVAs), which rely on regional aquifers for water. With
Brock Burford, Colleen C. Myles, Justin Scheiner, Michael Cook   +3 more
wiley   +1 more source

Smart Sensor‐Integrated Lysimeter System for Affordable on‐Farm Crop Water Monitoring and Irrigation Management

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate monitoring of crop water use is critical for precision irrigation, yet conventional lysimeter systems remain too costly and complex for widespread adoption. This study presents the development and field validation of a low‐cost, information and communication technology (ICT)‐enabled weighing lysimeter system that integrates load cells,
Stephen Okwang, Younggu Her, Taeil Jang
wiley   +1 more source

Drought Risk in Mango and Avocado Orchards: Insights Into Plant Water Relations and Irrigation‐Related Agronomic Solutions

Irrigation and Drainage, EarlyView.
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley   +1 more source

APPLICATIONS OF STOCHASTIC MODELS IN HYDROLOGY [PDF]

Hydrological Sciences Bulletin, 1976
openaire   +3 more sources

Multiobjective Simulation–Optimization of Crop Allocation and Water Resources in Canal Command Areas Using Genetic Algorithms

Irrigation and Drainage, EarlyView.
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra, J. C. Paul, Sushree Sangita Dash   +2 more
wiley   +1 more source

China runoff-field forecasting based on cross-scale gating and basin-topology attention. [PDF]

PLoS One
Li A, He X, Yang K, Ge W, Hua J.
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Hybrid framework for robust runoff forecasting via decomposition and machine learning. [PDF]

Sci Rep
Wang WC, Zhang XT, Zeng QQ, Ren HZ, Xu DM, Ma Q.   +5 more
europepmc   +1 more source

Drivers and Challenges of Micro‐Irrigation Adoption and Intensity in India: A Study of Four States

Irrigation and Drainage, EarlyView.
ABSTRACT India's food security relies substantially on groundwater, but inefficient irrigation is seriously depleting this resource. Micro‐irrigation (MI) improves irrigation application efficiency and productivity, yet adoption remains low. This study examines MI adoption across four major Indian states—Uttar Pradesh, Maharashtra, Madhya Pradesh and ...
Gurpreet Singh, Vasant P. Gandhi, Arnab K. Laha   +2 more
wiley   +1 more source

Transforming global water cycle observations via synergistic AI and remote sensing. [PDF]

Sci Adv
Yao Z, Cui Y, Jin Z, Wu S, Guo Q, Xu Y, Guo Z, Jiang C, Qu Y, Zhai D, Fan W.   +10 more
europepmc   +1 more source