Soil water balance models for determining crop water and irrigation requirements and irrigation scheduling focusing on the FAO56 method and the dual Kc approach
LS Pereira, P Paredes, N Jovanovic - Agricultural water management, 2020 - Elsevier
This study reviews soil water balance (SWB) model approaches to determine crop irrigation
requirements and scheduling irrigation adopting the FAO56 method. The K c-ET o approach …
requirements and scheduling irrigation adopting the FAO56 method. The K c-ET o approach …
[HTML][HTML] Prediction of maize crop coefficient from UAV multisensor remote sensing using machine learning methods
In the upcoming irrigation management in agricultural production, accurate mapping of crop
water consumption with a high spatial and temporal resolution at a farm scale is needed. In …
water consumption with a high spatial and temporal resolution at a farm scale is needed. In …
A comparison of numerical and machine-learning modeling of soil water content with limited input data
F Karandish, J Šimůnek - Journal of Hydrology, 2016 - Elsevier
Soil water content (SWC) is a key factor in optimizing the usage of water resources in
agriculture since it provides information to make an accurate estimation of crop water …
agriculture since it provides information to make an accurate estimation of crop water …
Agricultural reference index for drought (ARID)
Several drought indices are available to compute the degree of drought to which crops are
exposed. They vary in complexity, generality, and the adequacy with which they represent …
exposed. They vary in complexity, generality, and the adequacy with which they represent …
Fluxes through the bottom boundary of the root zone in silty soils: Parametric approaches to estimate groundwater contribution and percolation
Y Liu, LS Pereira, RM Fernando - Agricultural Water Management, 2006 - Elsevier
The paper revises empirical and semi-empirical approaches used with water balance
models to estimate the capillary rise from a water table and the deep percolation through the …
models to estimate the capillary rise from a water table and the deep percolation through the …
Matching root water uptake patterns to fine root and soil water distributions
Aims Exploring the relationships between water uptake, fine root, and soil water is essential
for many fields, such as plant physiology, ecological hydrology, and water conservancy …
for many fields, such as plant physiology, ecological hydrology, and water conservancy …
Loosely coupled SaltMod for simulating groundwater and salt dynamics under well-canal conjunctive irrigation in semi-arid areas
Long-term predictions of regional groundwater and salt dynamics are important for
maintaining agricultural sustainability in semi-arid areas where the conjunctive irrigation of …
maintaining agricultural sustainability in semi-arid areas where the conjunctive irrigation of …
A Comparative Analysis between Heuristic and Data-Driven Water Management Control for Precision Agriculture Irrigation
LD Garcia, C Lozoya, A Favela-Contreras, E Giorgi - Sustainability, 2023 - mdpi.com
Modeling and control theory applied to precision agriculture irrigation systems have been
essential to reduce water consumption while growing healthy crops. Specifically …
essential to reduce water consumption while growing healthy crops. Specifically …
Application of high-resolution meteorological data from NCAM-WRF to characterize agricultural drought in small-scale farmlands based on soil moisture deficit
We discussed the applicability of high-resolution meteorological data simulated by the
NCAM-Weather Research and Forecasting (NCAM-WRF) model to investigate spatially …
NCAM-Weather Research and Forecasting (NCAM-WRF) model to investigate spatially …
Projected irrigation requirements for upland crops using soil moisture model under climate change in South Korea
An increase in abnormal climate change patterns and unsustainable irrigation in uplands
cause drought and affect agricultural water security, crop productivity, and price fluctuations …
cause drought and affect agricultural water security, crop productivity, and price fluctuations …