Optimization of Management Zone Delineation for Precision Crop Management in an Intensive Farming System [PDF]
Plants, 2022 Soil is characterized by high spatiotemporal variability due to the combined influence of internal and external factors. The most efficient approach for addressing spatial variability is the use of management zones (MZs).
Yifan Yuan +7 more
doaj +2 more sources
Análisis de componentes principales con datos georreferenciados Una aplicación en agricultura de precisión [PDF]
Revista de la Facultad de Ciencias Agrarias, 2022 La utilización de nuevas tecnologías asociadas a la agricultura de precisión permite capturar información de múltiples variables en gran cantidad de sitios georreferenciados dentro de lotes en producción.
Mariano Córdoba +3 more
doaj +6 more sources
¿Es posible un índice de bancarización en Argentina? Una aplicación espacial para Córdoba, Entre Ríos y Santa Fe [PDF]
Estudios Económicos, 2018 Este trabajo construye un Índice de Bancarización (IB) para la Argentina mediante el uso de información georreferenciada de su zona central y aplicando la metodología MULTISPATI.
Fernando García
doaj +8 more sources
Un índice único de bancarización con datos georreferenciados con una aplicación para la Argentina [PDF]
Ecos de Economía, 2017 Este trabajo construye un Índice de Bancarización (IB) usando información georreferenciada de la zona central de la Argentina a partir de las dos primeras componentes principales obtenidas aplicando la metodología MULTISPATI que permite una mejor ...
Fernando Garcia
doaj +5 more sources
Identificación de zonas de manejo sitio-específico a partir de la combinación de variables de suelo [PDF]
Ciencia y Tecnología Agropecuaria, 2012 El manejo sitio-específico demanda la identificación de sub-regiones homogéneas, o zonas de manejo (ZM), dentro del espacio productivo. Sin embargo, definir ZM suele ser complejo debido a que la variabilidad espacial del suelo puede depender de varias ...
Mariano Córdoba +3 more
doaj +4 more sources
Micropolitical practices of multispatial metagovernance in rural Denmark [PDF]
Environment and Planning C: Politics and Space, 2022 Research on governance, network governance and metagovernance has shown how the practice of governing involves a diversity of actors in and beyond the state. Much attention has been paid to the role of powerful state and non-state actors while less consideration has been directed at less visible and marginalised actors who are recognised as ...
Fisker, Jens Kaae +2 more
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Territory, Politics, Governance and Multispatial Metagovernance [PDF]
Territory, Politics, Governance, 2016 AbstractThis article interrogates the concepts in this journal's title and, drawing on the strategic-relational approach in social theory, explores their interconnections. This conceptual re-articulation is then contextualized in regard to the European Union (EU) as a political regime that serves as a real-time laboratory for experiments in government ...
openaire +3 more sources
A Review of Multitemporal and Multispatial Scales Photovoltaic Forecasting Methods
IEEE Access, 2022 Reliable photovoltaic(PV) forecasting can provide important data support for power system operation, which is the key to realize the large-scale consumption of solar energy resources. PV forecasting task becomes crucial to ensure power system stability and economic operation.
Caicheng Liu +5 more
openaire +2 more sources
Stigma as a multispatial‐scale process: Revisiting the worst US Superfund sites
Risk Analysis, 2022 AbstractAreas immediately adjacent to 16 of the first US national priority (NPL) hazardous waste sites that also had pre‐superfund emergency actions were examined to measure local stigma. Four decades after their NPL designation, I found marked variation in these areas’ social, public health and environmental attributes.
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The Research of Feature Extraction Method of Liver Pathological Image Based on Multispatial Mapping and Statistical Properties [PDF]
Computational and Mathematical Methods in Medicine, 2016 We propose a new feature extraction method of liver pathological image based on multispatial mapping and statistical properties. For liver pathological images of Hematein Eosin staining, the image of R and B channels can reflect the sensitivity of liver pathological images better, while the entropy space and Local Binary Pattern (LBP) space can reflect
Huiling Liu +3 more
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