Results 61 to 70 of about 2,367 (204)

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

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

Explaining Climatic Drivers of Yield Anomalies in Global Crop Models Through Metamodel‐Based Attribution

Earth's Future, Volume 14, Issue 10, October 2026.
Abstract Global gridded crop models (GGCMs) are important tools for assessing climate impacts on agriculture, yet significant divergence in their projections limits interpretability, and impact studies often treat GGCMs as black boxes. Targeted ensemble sensitivity analyses are demanding and not transferable to different ensembles.
Thomas Oberleitner, Artem Baklanov, Thiago Berton Ferreira, Gerrit Hoogenboom, Jonas Jägermeyr, Atul K. Jain, Tzu‐Shun Lin, Oleksandr Mialyk, Christoph Müller, Alex C. Ruane, Florian Zabel, Juraj Balkovič, Chenzhi Wang, Babacar Faye, Jose R. Guarin, Toshichika Iizumi, Nikolay Khabarov, Wenfeng Liu, Masashi Okada, Sam S. Rabin, Clemens Scheer, Rastislav Skalský, Christian Folberth   +22 more
wiley   +1 more source

Irrigation management strategies for winter wheat using AquaCrop model [PDF]

, 2013
Many regions of the world face the challenge to ensure high yield with limited water supply. This calls for utilization of available water in an efficient and sustainable manner. Quantitative models can assist in management decision and planning purposes.
Ali, M.H., Abustan, I., M. H. Ali, I. Abustan, M.H. Ali   +4 more
core   +1 more source

Improving AquaCrop Root‐Zone Soil Moisture by Assimilating SMAP Surface Soil Moisture

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract Root‐zone soil moisture (RZSM) strongly controls crop development in process‐based crop models, yet most satellite missions observe only near‐surface moisture. We propose a framework to assimilate soil moisture active passive (SMAP) Level‐2 surface soil moisture retrievals into AquaCrop to improve RZSM over European croplands (0.1° resolution,
Michel Bechtold, Louise Busschaert, Zdenko Heyvaert, Sujay Kumar, Dirk Raes, Christian Massari, Gabriëlle J. M. De Lannoy   +6 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

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

Pedotransfer functions in the era of machine learning: Data limitations, spatial scale, transferability, and future directions

Vadose Zone Journal, Volume 25, Issue 5, September/October 2026.
Abstract Pedotransfer functions (PTFs) are predictive relationships that estimate difficult‐to‐measure soil hydraulic properties from readily available data such as texture, bulk density, and organic matter content. This review synthesizes PTF development from early regression‐based approaches to modern machine‐learning techniques, including artificial
Frank Anyoka Adekilae, Vinit Sehgal
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