Results 51 to 60 of about 10,359 (261)

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

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

Estimation of maize evapotraspiration under drought stress - A case study of Huaibei Plain, China.

PLoS ONE, 2019
Given the importance and complexity of crop evapotranspiration estimation under drought stress, an experiment tailored for maize under drought stress was completed using six sets of large-scale weighing lysimeters at the Xinmaqiao Comprehensive ...
Hongwei Yuan, Yi Cui, Shaowei Ning, Shangming Jiang, Xianjiang Yuan, Guangmin Tang   +5 more
doaj   +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

Evaluation of crop water demand for sustainable crop production using geospatial tools in a canal command of West Bengal

Journal of Agrometeorology, 2019
The agricultural sector is the primary consumer of water resources around the world, and the need for additional food production for growing population further exerts more pressure on water resources.
Laishram Kanta Singh, Madan K. Jha, V.M. Chowdary, Srikanta Sannigrahi   +3 more
doaj   +1 more source

Evapotranspiration and Water Management for Crop Production [PDF]

, 2011
1.2 Transpiration (T) Transpiration is the loss of water under the form of vapor by the plants, predominantly by means of leaves, although in woody plants a tiny loss might also occur through the lenticels of the bark of branches. On the leaves evaporation befalls from the cell walls into the direction of air intercellular spaces, coming up the ...
Andre Pereira, Luiz Pires
openaire   +1 more source

A Holistic Assessment of Water Footprint and Irrigation Performance Indicators With Respect to Agricultural Water Productivity

Irrigation and Drainage, EarlyView.
ABSTRACT Global warming has intensified prolonged droughts in many regions, including Türkiye, resulting in growing pressure on already limited water resources. Agriculture, as the largest water‐consuming sector, faces critical challenges in sustaining productivity under increasing water scarcity. In this context, assessing water use efficiency through
Elifnaz Torun, Belgin Çakmak
wiley   +1 more source

A Fast Track approach to deal with the temporal dimension of crop water footprint

Environmental Research Letters, 2017
Population growth, socio-economic development and climate changes are placing increasing pressure on water resources. Crop water footprint is a key indicator in the quantification of such pressure.
Marta Tuninetti, Stefania Tamea, Francesco Laio, Luca Ridolfi   +3 more
doaj   +1 more source

A Coupled AquaCrop–Richards Model for Improved Crop Yield Prediction Through Physically Based Soil Water Dynamics

Irrigation and Drainage, EarlyView.
ABSTRACT Crop modelling is essential for agricultural water management but often relies on simplified water balance routines that limit representation of soil moisture dynamics. To address this limitation, we developed a coupled model that integrates the 1‐D Richards equation, solved using a finite difference method into the FAO AquaCrop.
Krishna Panthi, Vidya Samadi, Carlos Toxtli   +2 more
wiley   +1 more source

Enhanced SWAP Model for Simulating Evapotranspiration and Cotton Growth Under Mulched Drip Irrigation in the Manas River Basin

Agriculture
Model-based simulation of farmland evapotranspiration and crop growth facilitates precise monitoring of crop and farmland dynamics with high efficiency, real-time responsiveness, and continuity.
Shuo Zhang, Tian Gao, Rui Sun, Muhammad Arsalan Farid, Chunxia Wang, Ping Gong, Yongli Gao, Xinlin He, Fadong Li, Yi Li, Lianqing Xue, Guang Yang   +11 more
doaj   +1 more source