Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors

DL Corwin, E Scudiero - Advances in agronomy, 2019 - Elsevier
Mapping and monitoring soil spatial variability is particularly problematic for temporally and
spatially dynamic properties such as soil salinity. The tools necessary to address this classic …

[HTML][HTML] Application of artificial intelligence for irrigation management: a systematic review

SJT Alvim, CM Guimarães, EF Sousa, RF Garcia… - Engenharia …, 2022 - SciELO Brasil
ABSTRACT A literature review on artificial intelligence in irrigation management was
performed, using the Systematic Literature Review (SLR) method with explicit search …

Prediction of cotton lint yield from phenology of crop indices using artificial neural networks

A Haghverdi, RA Washington-Allen, BG Leib - Computers and Electronics in …, 2018 - Elsevier
A primary utility of satellite remote sensing technology is monitoring and assessment of
agricultural lands for determining the area, amount, type, and quality of crop production …

Spatial prediction of soil water retention in a Páramo landscape: Methodological insight into machine learning using random forest

CMG Blanco, VMB Gomez, P Crespo, M Ließ - Geoderma, 2018 - Elsevier
Soils of Páramo ecosystems regulate the water supply to many Andean populations. In spite
of being a necessary input to distributed hydrological models, regionalized soil water …

[HTML][HTML] Capability of leaf water content and its threshold values in reflection of soil–plant water status in maize during prolonged drought

H Zhou, G Zhou, Q He, L Zhou, Y Ji, X Lv - Ecological Indicators, 2021 - Elsevier
Leaves play an important role in plant growth and development through photosynthesis and
transpiration. Many studies have explored the effects of short-term drought stress on leaf …

Modeling of soil moisture and water fluxes in a maize field for the optimization of irrigation

T Magyar, Z Fehér, E Buday-Bódi, J Tamás… - … and Electronics in …, 2023 - Elsevier
Precision irrigation is becoming more and more important in agricultural crop production due
to the limited water resources resulting from the negative effects of climate change. Modeling …

Some practical aspects of predicting texture data in digital soil mapping

A Amirian-Chakan, B Minasny… - Soil and Tillage …, 2019 - Elsevier
Soil texture is the most well-known composition in soil science. When separate components
of the texture (sand, silt, and clay) are predicted independently in digital soil mapping (DSM) …

Dynamic characteristics of canopy and vegetation water content during an entire maize growing season in relation to spectral-based indices

H Zhou, G Zhou, X Song, Q He - Remote Sensing, 2022 - mdpi.com
A variety of spectral vegetation indices (SVIs) have been constructed to monitor crop water
stress. However, their abilities to reflect dynamic canopy water content (CWC) and …

Assessing irrigated water utilization to optimize irrigation schedule in the oasis-desert ecotone of Hexi Corridor of China

D Li, X Wang - Agriculture, Ecosystems & Environment, 2021 - Elsevier
Water is the key factor limiting crop production in arid inland river basins of northwestern
China, where water scarcity challenges food security and the sustainability of eco …

Field characterization of field capacity and root zone available water capacity for variable rate irrigation

TH Lo, DM Heeren, L Mateos, JD Luck… - Applied Engineering …, 2017 - elibrary.asabe.org
Accurate spatial characterization of field capacity (FC) and root zone available water
capacity (R) can enhance site-specific management practices—such as variable rate …