Results 61 to 70 of about 2,602 (202)

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

Irrigation Water Management for Wheat Using Aquacrop Model إدارة میاه الری الحقلی للقمح باستخدام نموذج AquaCrop

Journal of Soil Sciences and Agricultural Engineering, 2020
The study aimed to evaluate the performance of the Food and Agriculture Organization "AquaCrop" model (version 6.1) in simulating the productivity and biomass of wheat crops in old lands under the surface irrigation system. Field data for the period from 2013- 2016 were used to calibrate the model's through matching productivity and biomass observed ...
openaire   +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

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

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

AquaCrop simulation for weed-infested fields

, 2016
Weed infestation is a major yield reducing factor that also decreases crop water productivity. Yet, weeds are often neglected in crop productivity simulation studies, because existing empirical equations and mechanistic models are not widely applicable ...
Delbecque, Nele, Van Gaelen, Hanne, Abrha, Berhanu, Tsegay, Alemtsehay, Raes, Dirk   +4 more
core   +1 more source

Improving the Irrigation Scheduling of Drip Irrigation System Using Field Measurements and Crop Modeling [PDF]

مدل‌سازی و مدیریت آب و خاک
IntroductionAgriculture is the largest consumer of fresh water in the whole world. Currently, almost 11% of the Earth’s total land surface is arable, which is expected to reach 13% by 2050.
Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari   +3 more
doaj   +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

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

Fielding Floods for Flourishing Farms: A Framework for Assessing the Reuse of Small Flood Reservoirs as Irrigation Reservoirs

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Due to the increased intensity and frequency of droughts under a warming world, agricultural irrigation demand (AID) is likely to increase in many regions of the world—not just in semi‐arid and arid regions, but also in temperate regions. Small reservoirs have often been touted as a decentralized solution to increase water supply resilience ...
Sarah Ho, Jacob Bernhardt, Kerstin Stahl, Uwe Ehret   +3 more
wiley   +1 more source