Results 141 to 150 of about 14,323 (266)

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

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

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

Hybrid deep learning framework integrating CNNs, transformers, and adaptive optimization for accurate suspended sediment concentration prediction. [PDF]

Sci Rep
Fan J, Li R, Qi S, Zong H, Zhao M.
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

APPLICATIONS OF STOCHASTIC MODELS IN HYDROLOGY [PDF]

Hydrological Sciences Bulletin, 1976
openaire   +3 more sources

Tracing the pathways to Yathrib (Al-Madinah): A GIS-based analysis of settlement patterns and ancient trade networks. [PDF]

PLoS One
Metwaly M, Alshami A.
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

Parametric assessment of rainfall-related slope stability through SRM modeling and orthogonal experimental design: insights from the Zhuquedong slope, China. [PDF]

Sci Rep
Liu F, Dong Z, Khayatnezhad M.
europepmc   +1 more source

Variable Rate Irrigation: A Long‐Term Simulated and Field Data Analyses of Irrigation Practices, Field Variability, Economic Feasibility and Profitability

Irrigation and Drainage, EarlyView.
ABSTRACT Long‐term economic analyses of variable rate irrigation (VRI) strategies were performed compared with uniform irrigation management (UIM) in a reference production field using the AquaCrop model. Five strategies to trigger irrigation were as follows: (Field Capacity‐VRI, Driest Soil Trigger‐VRI, Water Mining‐VRI, Conventional Uniform ...
Sahil Sharma, Suat Irmak, William Kranz
wiley   +1 more source