Results 51 to 60 of about 1,943 (209)

AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation

Agricultural Water Management
Maize is among the most important crops in Iran. Enhancing maize irrigation management is critical for alleviating the pressure on limited freshwater resources in Khorasan Razavi province.
Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari, Amir Verdi   +4 more
doaj   +1 more source

Assessment of AquaCrop Model on Potato Crop in Uruguay

Agrociencia, 2015
The potato crop (Solanum tuberosum L.) is a high important crop in Uruguay. The Southern region is the most important production area of potato there. It is considered that in this region, irrigation should be supplementary since summer rainfall rarely reach crop requirements.
F. Montoya, F. Vilaró, C. García
openaire   +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

Optimisation of AquaCrop backscatter simulations using Sentinel-1 observations

, 2023
In preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e.
Louise Busschaert, Lievens, Hans, De Lannoy, Gabrielle, Bechtold, Michel, Hans Lievens, Michel Bechtold, De Lannoy, Gabriëlle J.M., Gabriëlle J.M. De Lannoy, de Roos, Shannon, Busschaert, Louise, Shannon de Roos   +10 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

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

Multicriteria evaluation of the AquaCrop crop model in a hilly rainfed Mediterranean agrosystem

, 2022
International audienceExploring crop spatial organizations within landscapes is a promising solution for agroecological transitions and climate change adaptation in Mediterranean rainfed hilly agrosystems. A prerequisite is to ensure that crop models can
Dhouib, Mariem, Prevot, Laurent, Molénat, J., Mekki, Insaf, Zitouna-Chebbi, Rim, Jacob, Frédéric, Molenat, Jérôme   +6 more
core   +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, EarlyView.
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

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

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