The Use of Artificial Neural Networks for Forecasting of Air Temperature inside a Heated Foil Tunnel

Improving the Performance of Vegetable Leaf Wetness Duration Models in Greenhouses Using Decision Tree Learning

(2019) Hui Wang et al.   Water

Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed

(2019) Gniewko Niedbała   Sustainability

Forecasting Models for Wind Power Using Extreme-Point Symmetric Mode Decomposition and Artificial Neural Networks

(2019) Jianguo Zhou et al.   Sustainability

An innovative hybrid approach for multi-step ahead wind speed prediction

(2019) Jujie Wang et al.   APPLIED SOFT COMPUTING

A Review of the Use of Artificial Neural Network Models for Energy and Reliability Prediction. A Study of the Solar PV, Hydraulic and Wind Energy Sources

(2019) Jesús Ferrero Bermejo et al.   Applied Sciences-Basel

Multicriteria Prediction and Simulation of Winter Wheat Yield Using Extended Qualitative and Quantitative Data Based on Artificial Neural Networks

(2019) Gniewko Niedbała et al.   Applied Sciences-Basel

Forecasting Energy Use in Buildings Using Artificial Neural Networks: A Review

(2019) Jason Runge et al.   Energies

The Development of a new virtual croplands erosion measurement system using three-dimensional laser scanner and empirical Kostiakov-Lewis models

(2019) Alejandro Castañeda-Miranda et al.   OPTICS AND LASER TECHNOLOGY

Meteorological Temperature and Humidity Prediction from Fourier-Statistical Analysis of Hourly Data

(2019) Alejandro Castañeda-Miranda et al.   Advances in Meteorology

The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process

(2019) Hubert Byliński et al.   Sustainability

Special Issue on Applications of Artificial Neural Networks for Energy Systems

(2019) Giuseppe Marco Tina   Applied Sciences-Basel

Interpolation of greenhouse environment data using multilayer perceptron

(2019) Taewon Moon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Review on greenhouse microclimate and application: Design parameters, thermal modeling and simulation, climate controlling technologies

(2019) Noureddine Choab et al.   SOLAR ENERGY

Prediction of Tool Wear Using Artificial Neural Networks during Turning of Hardened Steel

(2019) Paweł Twardowski et al.   Materials

Artificial Neural Network in Fibres Length Prediction for High Precision Control of Cellulose Refining

(2019) Daniele Almonti et al.   Materials

Energy efficient operation and modeling for greenhouses: A literature review

(2019) E. Iddio et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Ensemble of evolving data clouds and fuzzy models for weather time series prediction

(2018) Eduardo Soares et al.   APPLIED SOFT COMPUTING

Energy Consumption Prediction of a Greenhouse and Optimization of Daily Average Temperature

(2018) Yongtao Shen et al.   Energies

Daily soil temperatures predictions for various climates in United States using data-driven model

(2018) Lu Xing et al.   ENERGY

Evaluating meteorological data from weather stations, and from satellites and global models for a multi-site epidemiological study

(2018) Josh M. Colston et al.   ENVIRONMENTAL RESEARCH

Energy-efficient design of greenhouse for Canadian Prairies using a heating simulation model

(2018) Md Shamim Ahamed et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Modeling of greenhouse agro-ecosystem using optimally designed bootstrapping artificial neural network

(2018) Revathi Soundiran et al.   NEURAL COMPUTING & APPLICATIONS

Estimation of renewable energy and built environment-related variables using neural networks – A review

(2018) Eugénio Rodrigues et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A spatiotemporal universal model for the prediction of the global solar radiation based on Fourier series and the site altitude

(2018) E. Kaplani et al.   RENEWABLE ENERGY

Development and Optimization of a Building Energy Simulation Model to Study the Effect of Greenhouse Design Parameters

(2018) Adnan Rasheed et al.   Energies

Spectral Identification of Disease in Weeds Using Multilayer Perceptron with Automatic Relevance Determination

(2018) Afroditi Tamouridou et al.   SENSORS

Machine Learning in Agriculture: A Review

(2018) Konstantinos Liakos et al.   SENSORS

Evaluation of the Undrained Shear Strength of Organic Soils from a Dilatometer Test Using Artificial Neural Networks

(2018) Zbigniew Lechowicz et al.   Applied Sciences-Basel

A Novel Wind Speed Estimation Based on the Integration of an Artificial Neural Network and a Particle Filter Using BeiDou GEO Reflectometry

(2018) Kittipong Kasantikul et al.   SENSORS

Artificial Combined Model Based on Hybrid Nonlinear Neural Network Models and Statistics Linear Models—Research and Application for Wind Speed Forecasting

(2018) Yuewei Liu et al.   Sustainability

Hourly ambient air humidity fluctuation evaluation and forecasting based on the least-squares Fourier-model

(2018) Zong-chang Yang   MEASUREMENT

Operational supply and demand optimisation of a multi-vector district energy system using artificial neural networks and a genetic algorithm

(2018) Jonathan Reynolds et al.   APPLIED ENERGY

Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks

(2017) G. Vlontzos et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Application of Multilayer Perceptron with Automatic Relevance Determination on Weed Mapping Using UAV Multispectral Imagery

(2017) Afroditi Tamouridou et al.   SENSORS

Soil water erosion on Mediterranean vineyards: A review

(2016) Massimo Prosdocimi et al.   CATENA

Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO

(2016) Huihui Yu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An intelligent system for the climate control and energy savings in agricultural greenhouses

(2016) Azaza Maher et al.   Energy Efficiency

A research on a following day load simulation method based on weather forecast parameters

(2015) Nianping Li et al.   ENERGY CONVERSION AND MANAGEMENT

Large-scale Modeling of Soil Erosion with RUSLE for Conservationist Planning of Degraded Cultivated Brazilian Pastures

(2015) Sergio Galdino et al.   LAND DEGRADATION & DEVELOPMENT

Towards a Pan-European Assessment of Land Susceptibility to Wind Erosion

(2014) Pasquale Borrelli et al.   LAND DEGRADATION & DEVELOPMENT

The Impact of Agriculture on Soil Texture Due to Wind Erosion

(2014) Juan Cruz Colazo et al.   LAND DEGRADATION & DEVELOPMENT

Temperature and Relative Humidity Estimation and Prediction in the Tobacco Drying Process Using Artificial Neural Networks

(2012) Víctor Martínez-Martínez et al.   SENSORS

Modeling greenhouse air humidity by means of artificial neural network and principal component analysis

(2009) Fen He et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Development of an intelligent indoor environment and energy management system for greenhouses

(2009) D. Kolokotsa et al.   ENERGY CONVERSION AND MANAGEMENT

Modelling of tropical greenhouse temperature by auto regressive and neural network models

(2008) S.L. Patil et al.   BIOSYSTEMS ENGINEERING

Prediction of the intern parameters tomato greenhouse in a semi-arid area using a time-series model of artificial neural networks

(2008) A. Dariouchy et al.   MEASUREMENT