Results 81 to 90 of about 796 (224)

Research of correlation between electric soil conductivity and yield based on the use of GPS technology

Research in Agricultural Engineering, 2008
A contact method was used for the continuous measuring of soil electric conductivity using a six disc electrodes apparatus. The placement of the electrodes was chosen on the basis of the depth of the profiles surveyed: 0-0.3 and 0-0.9 m.
L. Ryšan, O. Šařec
doaj   +1 more source

Analysis of Spatially Distributed Data in Internet of Things in the Environmental Context. [PDF]

Sensors (Basel), 2022
de Azevedo LJM, Estrella JC, Delbem ACB, Meneguette RI, Reiff-Marganiec S, de Andrade SC.   +5 more
europepmc   +1 more source

Missing comparability: When genomic selection faces field variability. A case study in soybeans

The Plant Genome, Volume 19, Issue 2, June 2026.
Abstract The processing of phenotypic information prior to training genomic selection (GS) models is a key factor that is frequently overlooked. Several approaches have been proposed to isolate the genetic signal from the field variability. However, in most cases, the estimated genetic signal still carries the field variability print.
Edmundo Caballero, Julian Garcia‐Abadillo, Diego Jarquin   +2 more
wiley   +1 more source

The Effects of Constructing Irrigation and Drainage Network of Rajaei Dam on Spatial and Temporal Changes of Groundwater Quality and Quantity

علوم آب و خاک, 2017
Construction of a dam in the upstream of Tajan basin, as one of the human activities in order to provide drinking water, hydropower, agriculture, flood control or other purposes, can be effective on other sectors such as water resources.
M. Khoshravesh, M. Valizadeh
doaj  

Erosividade mensal e anual da chuva no Estado de Minas Gerais Monthly and annual rainfall erosivity for Minas Gerais State

Pesquisa Agropecuária Brasileira, 2007
Este trabalho objetivou estimar e mapear a erosividade média (EI30) mensal e anual, analisar a distribuição espacial da precipitação, durante o período chuvoso, e identificar zonas similares quanto a EI30 no Estado de Minas Gerais.
Carlos Rogério de Mello, Marcos Aurélio Carolino de Sá, Nilton Curi, José Marcio de Mello, Marcelo Ribeiro Viola, Antônio Marciano da Silva   +5 more
doaj   +1 more source

Observational Uncertainty in Deep Learning Climate Downscaling and Projections

Earth and Space Science, Volume 13, Issue 6, June 2026.
Abstract Deep learning (DL) models are increasingly used for climate downscaling, yet the impact of observational uncertainty on their performance remains poorly understood. Here we assess this effect by training ensembles of DL downscaling models using four independent gridded observational data sets over continental Spain that differ in source ...
Samuel Reyes‐Elgueta, Jose González‐Abad, Javier Diez‐Sierra, Sixto Herrera, José Manuel Gutiérrez   +4 more
wiley   +1 more source

Geostatistic function adaptation for analyzing spatial point patterns of the two-component granular blend

, 2007
W artykule przedstawiono sposób wykorzystania funkcji geostatystycznej (funkcja K) do analizy przestrzennego rozkładu niejednorodnej, dwuskładnikowej mieszaniny ziarnistej.
Kokoszka, P., Królczyk, J., Tukiendorf, M.   +2 more
core  

Spatially Correlated Nuclear Magnetic Resonance Profiles as a Tool for Precision Agriculture. [PDF]

J Agric Food Chem, 2023
Lamanna R, Baviello G, Catellani M.
europepmc   +1 more source

Subsoil Carbon and δ13C Spatial Patterns Reveal Land Use Legacy in a Sandy Subtropical Ecotone in Brazil

Journal of Geophysical Research: Biogeosciences, Volume 131, Issue 6, June 2026.
Abstract Soil organic carbon (SOC) storage represents one of the most critical ecosystem services provided by soils, yet scientific assessments frequently focus on surface layers, overlooking deeper horizons. In this study, we investigated SOC stocks and spatial patterns of soil δ13C across three contrasting land use and land cover (LULC) types in ...
Lucas F. Alexandre, Rodnei Rizzo, Jonas Steinfeld, Andres M. R. Gomez, Victor N. Libório, Plínio B. Camargo, Siu M. Tsai, Maria V. R. Ballester   +7 more
wiley   +1 more source

Geostatistic analyses in the assessment the beans families productivity

, 2009
A dependência espacial é a propensão pela qual o valor de uma variável observada em certa posição tende a assemelhar-se mais aos valores vizinhos do que ao restante das observações do conjunto amostral.
Feres, Andréia Luiza Gonzaga
core