Results 81 to 90 of about 1,754 (211)

SENSITIVITY ANALYSIS OF AQUACROP EVAPOTRANSPIRATION TO WEATHER STATION DISTANCE

AGROFOR, 2016
Water balance calculation is essential for reliable agricultural management, and theactual evapotranspiration (ET) is the most complicated balance term to estimate. Inagriculture, the most common method used is based on Penman-Monteith referenceevaporation is determined from weather conditions for an unstressed grass cover,further multiplied by crop ...
Claire SIMONIS, Bernard TYCHON, Françoise GELLENSMEULENBERGHS   +2 more
openaire   +2 more sources

Modeling Sugar Beet Responses to Irrigation with AquaCrop for Optimizing Water Allocation [PDF]

Water, 2019
Process-based crop models such as AquaCrop are useful for a variety of applications but must be accurately calibrated and validated. Sugar beet is an important crop that is grown in regions under water scarcity. The discrepancies and uncertainty in past published calibrations, together with important modifications in the program, deemed it necessary to
Margarita Garcia-Vila, Rodrigo Morillo-Velarde, Elias Fereres   +2 more
openaire   +4 more sources

Estimation of Forage Yield Using the Second Derivative of Normalized Difference Vegetation Index Time Series From Sentinel‐2

Grass and Forage Science, Volume 80, Issue 3, July-September 2025.
ABSTRACT Accurate estimation of forage yield is essential, as forage plays an indirect yet vital role in the global food supply. Various methods were developed to obtain quantitative forage yield estimates from remotely sensed data. This study's main goal was to estimate forage yield from Sentinel‐2 time series imagery from 2021 and 2022.
Nilda Sánchez, Javier Plaza, Léa Pouyez, Carlos Palacios   +3 more
wiley   +1 more source

AG-CASU : An algorithm to generate irrigation parameters and crop management strategies for the aquacrop model

, 2019
8 p. ElectrónicoThis paper presents an algorithm to generate the irrigation policies and crop management configuration files for the agroclimatic risk model AquaCrop. The software determines the parameters to be modified by a stochastic method.
Pertuz Peralta, Vanessa Paola, Pérez Orozco, Adith Bismarck, González Guerrero, Enrique, Maestre Pérez, Jesus David, Ortiz Iglesias, María Isabel   +4 more
core   +1 more source

Adaptation of the process‐based CSM‐CROPGRO model to simulate the growth and development of industrial hemp for seed and fiber production

Agrosystems, Geosciences &Environment, Volume 8, Issue 2, June 2025.
Abstract Industrial hemp (Cannabis sativa L.) is a re‐emerging crop in the United States with unique agronomic challenges that require location‐specific studies and guidance. Digital farming tools, such as crop growth models, can facilitate this process by enabling a better understanding of the farming system.
Alwin Hopf, Kenneth J. Boote, Yogendra Upadhyaya, Hardeep Singh, Michael J. Mulvaney, Navdeep Kaur, Lakesh K. Sharma, Zachary Brym, Jonathan A. Watson, Gerrit Hoogenboom   +9 more
wiley   +1 more source

Evaluation of the Impacts of Climate Change on Sunflower with Aquacrop Model

Tekirdağ Ziraat Fakültesi Dergisi, 2023
Climate change has become one of the most significant risk factors in agricultural production. Plant productivity declines caused by climate change pose a serious threat to food supply and security. Crop simulation models have been widely used in recent years for the assessment of the impacts of climate change on agricultural production.
openaire   +3 more sources

Coping with drought for food security in Tigray, Ethiopia

, 2011
Agricultural production in drylands suffers from drought and in sub-Saharan Africa, only about 15% of the terrestrial rainwater is used by plants for food, fodder and fiber.
Berhe, A.A.
core  

Drought Impacts to Water Footprints and Virtual Water Transfers of Counties of the United States

Water Resources Research, Volume 61, Issue 6, June 2025.
Abstract Irrigation is increasingly important to agricultural production and supply chains in the United States. In this study, we seek to understand how irrigation (blue) water footprints of production are spatially distributed and how they differ in drought versus non‐drought years.
P. J. Ruess, J. Hanley, M. Konar
wiley   +1 more source

AquaCrop v7.2 Reference Manual

AquaCrop technical resources for v7.2: (1) reference manual with user guide, calculation procedures, calibration, etc.
Raes, Dirk, Steduto, Pasquale, Hsiao, Theodore, Fereres, Elias, Busschaert, Louise, Bechtold, Michel, de Roos, Shannon, Heyvaert, Zdenko, Mortelmans, Jonas, Scherrer, Samuel, Van den Bossche, Maxime, De Lannoy, Gabrielle   +11 more
openaire   +1 more source

A Distributed Machine Learning Model for Blue and Green Water Resources With Transferable Applications in Similar Climatic Zones

Water Resources Research, Volume 61, Issue 5, May 2025.
Abstract Human activities profoundly impact the terrestrial water cycle and the spatiotemporal dynamics of blue and green water resources. Distributed hydrological models are essential for simulating the water resources within a basin. However, neither process‐based nor data‐driven hydrological models have fully captured the effects of human activities
Zhibin Li, Haroon Sahotra, Sajjad Ahmad, Wei Wang, Zhe Yang, Pute Wu, Eakalak Khan, La Zhuo   +7 more
wiley   +1 more source