Results 51 to 60 of about 2,199 (200)

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

Calibration and testing of AquaCrop for selected sorghum genotypes

Water SA, 2017
Predicting yield response to water is important in rainfed agriculture. The objective of this study was to calibrate and test AquaCrop for simulating yield of 3 sorghum genotypes (PAN8816, a hybrid; Macia, an open-pollinated variety; and Ujiba, a landrace) grown during the 2013/14 and 2014/15 planting seasons (early, optimal and late planting dates ...
Hadebe, Sandile T, Modi, Albert T, Mabhaudhi, Tafadzwanashe   +2 more
openaire   +4 more sources

Supplementary information for "Water Productivity of Irrigated Tomatoes in Eastern Canada Based on AquaCrop Simulations"

, 2022
The table presents the AquaCrop input dataset classified based on the source of input and the figure displays the seasonal crop Kc values obtained from the AquaCrop simulation for the tomato. 
Naresh Kumar Arumugagounder Thangaraju (13112691), Samuel Ihuoma (13112692), Chandra Madramootoo (13112694)   +2 more
core   +1 more source

Maize Yield, Water Productivity and Economic Analysis Under Different Irrigation and Nitrogen Management Strategies Using Field Data and CERES‐Maize Model

Irrigation and Drainage, EarlyView.
ABSTRACT There is limited integrated evaluation of nitrogen (N) and irrigation management strategies for improving maize yield and productivity using crop models. The effects of N and irrigation on maize yield and productivity under centre pivot (CPI) and subsurface drip irrigation (SDI) using the CERES‐Maize model were investigated. N treatments were (
Ebrahim Amiri, Suat Irmak, P. Aalaee Bazkiaee   +2 more
wiley   +1 more source

Evaluating Reference Evapotranspiration (ETo) Calculation Methods and Quantifying Climate‐Driven Change in Irrigation Demand Across Nepal's Terai

International Journal of Climatology, Volume 46, Issue 11, September 2026.
Framework illustrating the comparison of different reference evapotranspiration (ETo) estimation methods and the integration of baseline ETo, crop water requirement (CWR), and irrigation water requirement (IWR) calculations with downscaled CMIP6 climate projections under SSP245 and SSP585 scenarios for the mid‐century and late‐century periods across ...
Umesh Kumar Sujakhu, Rajesh Khatakho, Naresh Suwal, Ayush Poudel   +3 more
wiley   +1 more source

Intra‐Seasonal Crop Management and the Potential Benefit of Seasonal Precipitation Forecasts: Farm‐Level Embedded Risk Analysis in Ethiopia

Journal of Agricultural Economics, Volume 77, Issue 3, Page 928-954, September 2026.
ABSTRACT How large is the potential benefit for farmers from obtaining forecasts of total rainfall in the upcoming season? This critically depends on the local farm system and the crop management actions available to farmers to respond to the forecasts issued. Studies assessing the financial value of seasonal precipitation forecasts have so far focused
Christian Troost, Samuel Elias Kayamo, Livia Rasche, Thomas Berger   +3 more
wiley   +1 more source

A Regional Version of the Aquacrop Model Evaluated with Satellite Retrievals and Backscatter Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The current intensive use of agricultural land forces a shift to more sustainable methods of crop production. Future crop demands are expected to rise due to a strong increase in population and prosperity, and the uncertainty in crop yields is expected to increase because of changing climatic conditions.
de Roos, Shannon, De Lannoy, Gabrielle, Raes, Dirk   +2 more
openaire   +3 more sources

Do data from the RISMA soil monitoring network support agricultural modeling requirements?

Vadose Zone Journal, Volume 25, Issue 4, July/August 2026.
Abstract The Real‐Time In‐Situ Soil Monitoring for Agriculture (RISMA) network provides soil water and agri‐environmental data for conceptualization, calibration, and validation of remote sensing and modeling products for Canadian agriculture at 32 stations in seven watersheds in Saskatchewan, Manitoba, and Ontario.
Kayla R. Moore, Taras Lychuk, Naeem Abbasi, Aston Chipanshi, Ward Smith, Brian Grant, David Lapen, René Morissette, Stephane Belair, Heather McNairn   +9 more
wiley   +1 more source

Modeling Irrigation Efficiency Paradox From Farmers' Behaviors

Earth's Future, Volume 14, Issue 6, June 2026.
Abstract Agricultural irrigation accounts for 70% of global freshwater withdrawals, highlighting its critical role in water conservation. However, numerous studies have presented the irrigation efficiency paradox, whereby increased efficiency rarely reduces water consumption.
Shiruo Hu, Xinpeng Yu, Jingrui Wang, Jianshi Zhao   +3 more
wiley   +1 more source

Sensitivity Analysis of Aquacrop Model for Barley in Pakdasht Region [PDF]

علوم آب و خاک, 2019
In recent years, a lot of research has been done on the Aquacrop model, the results show that this model simulates the product performance for deficit irrigation conditions. But this model, like other models, is sensitive to values of independent variables (model inputs).
H. Karimi Avargani, A. Rahimikhoob, M. H. Nazarifar   +2 more
openaire   +3 more sources