Results 141 to 150 of about 591 (177)

Smart Irrigation with Fuzzy Decision Support Systems in Trentino Vineyards. [PDF]

Sensors (Basel)
Silvestri R, Vecchio M, Pincheira M, Antonelli F.   +3 more
europepmc   +1 more source

AquaCrop on the ground: Model applications for sustainable agricultural water management

Mahel, Salman, Garcia Vila, Margarita, Fereres, Elias, Raes, Dirk, Steduto, Pasquale, Heng, Lee, De Lannoy, Gabrielle, Wellens, Joost, Foster, Timothy, Busschaert, Louise, Bechtold, Michel, de Roos, Shannon   +11 more
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AquaCrop: FAO's crop water productivity and yield response model

Environmental Modelling and Software, 2014
With the help of relatively few conservative crop parameters, AquaCrop simulates final crop yield in four steps that are easy to understand, which makes the modeling approach transparent. The steps consist in the simulation of development of the green crop canopy cover, crop transpiration, above-ground biomass, and final crop yield.
Eline Vanuytrecht, Dirk Raes, Pasquale Steduto   +2 more
exaly   +2 more sources

Assimilation of Sentinel-1 Change Detection in the Aquacrop Model: Case of Sugarcane

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The “Compagnie Sucriere Senegalaise” (CSS) wanted to upscale the field-level crop simulation model AquaCrop (FAO's agro-meteorological model) for the automated monitoring and management of its ±13.000 ha of irrigated sugarcane. A recently developed changepoint detector was applied to Sentinel-1 time series to identify key phenological crop stages for ...
Wellens, Joost, Stasolla, Mattia, Sall, Mor Talla, Tychon, Bernard, Neyt, Xavier   +4 more
openaire   +2 more sources

Bayesian Calibration of AquaCrop Model

2018 37th Chinese Control Conference (CCC), 2018
The AquaCrop simulation model, modelling the dynamic change of crop growth status, is an important crop management tool for quantifying crop yield response to water. To effectively simulate the soil water balance and the crop growth process, a number of system parameters and canopy state variables are inevitably adopted.
Tianxiang Zhang, Jinya Su, Cunjia Liu, Wen-Hua Chen   +3 more
openaire   +1 more source

Evaluation of AquaCrop model of cucumber under greenhouse cultivation

The Journal of Agricultural Science, 2020
AbstractWater consumption in agriculture is impossible without considering relations between water, soil and plant. In this regard, there are various models and developed software in order to evaluate relation between soil, water and crop growth stages. These models can be used for irrigation planning if properly optimized and applied.
H. Khafajeh, A. Banakar, S. Minaei, M. Delavar   +3 more
openaire   +1 more source

Calibration and Testing of the FAO AquaCrop Model for Canola

Agronomy Journal, 2011
Water being a major limiting factor in crop production, prediction of the growth and yield response of crop to water is important. Field experiments were conducted in 2009 and 2010 at Wagga Wagga (Australia) to calibrate and validate a water productivity model AquaCrop for canola (Brassica napus L.). The calibrated model was able to accurately simulate
Ketema Tilahun Zeleke, David Luckett, Raymond Cowley   +2 more
openaire   +1 more source

Evaluation of AquaCrop and intelligent models in predicting yield and biomass values of wheat

International Journal of Biometeorology, 2023
AquaCrop is one of the dynamic and user-friendly models for simulating different conditions governing plant growth in the field. But this model requires many input parameters such as plant information, soil, climate, groundwater, and management factors. In this research, to solve this problem and develop a model with fewer input data, artificial neural
Milad, Sharafi, Javad, Behmanesh, Vahid, Rezavardinejad, Saeed, Samadianfard   +3 more
openaire   +2 more sources

Irrigation Scheduling Optimization for Cotton Based on the AquaCrop Model

Water Resources Management, 2018
To improve irrigation efficiency, it is important to optimize agriculture irrigation scheduling. The objectives of this study were to evaluate the AquaCrop model for its ability to simulate cotton in the North China Plain and optimize irrigation strategies. The AquaCrop model was calibrated using 2002–2009 data and validated using 2010–2014 data.
Fawen Li, Dong Yu, Yong Zhao
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Evaluation of sugarcane irrigation using AquaCrop model and remote sensing

Irrigation and Drainage, 2022
AbstractIran has an arid to semi‐arid climate where water resources are limited. Irrigation planning plays an essential role in the growth and development of crops. This study aims to enhance the current status of irrigation scheduling and improve farm water management on sugarcane farms in Khuzestan province, Iran.
Mostafa Rahimi Jamnani, Farhad Mirzaei, Abdolmajid Liaghat   +2 more
openaire   +1 more source