Forecasting frost risk in forest plantations by the combination of spatial data and machine learning algorithms

Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: A process-based modelling approach

(2020) Elvis Felipe Elli et al.   ECOLOGICAL INDICATORS

Long-term monthly average temperature forecasting in some climate types of Iran, using the models SARIMA, SVR, and SVR-FA

(2019) Pouya Aghelpour et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Selecting appropriate machine learning methods for digital soil mapping

(2019) Yones Khaledian et al.   APPLIED MATHEMATICAL MODELLING

RESISTÊNCIA À GEADA E CRESCIMENTO INICIAL DE Toona ciliata EM CULTIVOS CONSORCIADOS COM Eucalyptus grandis EM DIFERENTES ADUBAÇÕES

(2018) Clovis Orlando Da Ros et al.   CIENCIA FLORESTAL

Environmental uniformity, site quality and tree competition interact to determine stand productivity of clonal Eucalyptus

(2018) Rafael T. Resende et al.   FOREST ECOLOGY AND MANAGEMENT

Mapping threats to agriculture in East Africa: Performance of MODIS derived LST for frost identification in Kenya’s tea plantations

(2018) Susan M. Kotikot et al.   International Journal of Applied Earth Observation and Geoinformation

Application of artificial neural networks to frost detection in central Chile using the next day minimum air temperature forecast

(2018) Marcel Fuentes et al.   Chilean Journal of Agricultural Research

Prediction of frost events using machine learning and IoT sensing devices

(2018) Ana Laura Diedrichs et al.   IEEE Internet of Things Journal

Prediction of frost layer over flat plates under natural and forced convection conditions using intelligent and least-square fitting approaches

(2018) S.H. Hosseini et al.   APPLIED THERMAL ENGINEERING

GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes

(2017) Gustavo E. Marcatti et al.   FOREST ECOLOGY AND MANAGEMENT

Modeling monthly meteorological and agronomic frost days, based on minimum air temperature, in Center-Southern Brazil

(2017) Clayton Alcarde Alvares et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Agroclimatic zoning for urucum crops in the state of Minas Gerais, Brazil

(2017) Lucas Eduardo de Oliveira Aparecido et al.   BRAGANTIA

Agroclimatic zoning for urucum crops in the state of Minas Gerais, Brazil

(2017) Lucas Eduardo de Oliveira Aparecido et al.   BRAGANTIA

Intra-genotypic competition of Eucalyptus clones generated by environmental heterogeneity can optimize productivity in forest stands

(2016) Rafael T. Resende et al.   FOREST ECOLOGY AND MANAGEMENT

Development of agroclimatic zoning model to delimit the potential growing areas for macaw palm (Acrocomia aculeata)

(2016) Silvia Falasca et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Fertilization Response, Light Use, and Growth Efficiency in Eucalyptus Plantations across Soil and Climate Gradients in Brazil

(2016) Renato da Silva et al.   Forests

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

(2016) Haoyuan Hong et al.   Geomatics Natural Hazards & Risk

VARIABILIDADE GENÉTICA EM PROGÊNIES DE MEIOS-IRMÃOS DE EUCALIPTOS PARA TOLERÂNCIA AO FRIO1

(2015) Cristiano Bueno de Moraes et al.   REVISTA ARVORE

Use of LST images from MODIS/AQUA sensor as an indication of frost occurrence in RS

(2015) Débora de S. Simões et al.   Revista Brasileira de Engenharia Agrícola e Ambiental

Agroclimatic zoning of acai crop (Euterpe oleraceaMart.) for the state of Espírito Santo

(2015) Kaio Allan Cruz Gasparini et al.   Revista Ciencia Agronomica

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Köppen's climate classification map for Brazil

(2014) Clayton Alcarde Alvares et al.   METEOROLOGISCHE ZEITSCHRIFT

Climate change and evolutionary adaptation

(2011) Ary A. Hoffmann et al.   NATURE

Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds

(2010) Jan Adamowski et al.   JOURNAL OF HYDROLOGY

Support vector regression with reduced training sets for air temperature prediction: a comparison with artificial neural networks

(2010) Robert F. Chevalier et al.   NEURAL COMPUTING & APPLICATIONS

A novel prediction model of frost growth on cold surface based on support vector machine

(2008) Zhikun Cao et al.   APPLIED THERMAL ENGINEERING