Linear mixed modeling and artificial neural network techniques for predicting wind drift and evaporation losses under moving sprinkler irrigation systems

Evaluating water application efficiency of low and mid elevation spray application under changing weather conditions

(2019) Abid Sarwar et al.   AGRICULTURAL WATER MANAGEMENT

Prediction of wind drift and evaporation losses from sprinkler irrigation using neural network and multiple regression techniques

(2018) Hussein M. Al-Ghobari et al.   AGRICULTURAL WATER MANAGEMENT

A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks

(2018) Guillermo R. Chantre et al.   BIOSYSTEMS ENGINEERING

Development of a linear mixed model to predict the picking time in strawberry harvesting processes

(2018) Farangis Khosro Anjom et al.   BIOSYSTEMS ENGINEERING

Prediction of wind drift and evaporation losses of a sprinkler irrigation system using principal component analysis and artificial neural network technique

(2018) Samy A Marey et al.   WATER SA

Estimation of Wind Drift and Evaporation Losses from Sprinkler Irrigation systemS by Different Data-Driven Methods

(2017) E. Maroufpoor et al.   IRRIGATION AND DRAINAGE

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

MODELLING DAILY EVAPOTRANSPIRATION USING ARTIFICIAL NEURAL NETWORKS UNDER HYPER ARID CONDITIONS

(2016) Mohamed A Yassin et al.   PAKISTAN JOURNAL OF AGRICULTURAL SCIENCES

Micrometeorology of sprinkler irrigation

(2015) N.H. Hancock et al.   AGRICULTURAL AND FOREST METEOROLOGY

Novel approach to evaluate the dynamic variation of wind drift and evaporation losses under moving irrigation systems

(2015) Sayed-Hossein Sadeghi et al.   BIOSYSTEMS ENGINEERING

The effects of pressure, nozzle diameter and meteorological conditions on the performance of agricultural impact sprinklers

(2011) I. Sanchez et al.   AGRICULTURAL WATER MANAGEMENT

Visual gene developer: a fully programmable bioinformatics software for synthetic gene optimization

(2011) Sang-Kyu Jung et al.   BMC BIOINFORMATICS

EVAPORATION AND WIND DRIFT LOSSES DURING SPRINKLER IRRIGATION INFLUENCED BY DROPLET SIZE DISTRIBUTION

(2011) B. Molle et al.   IRRIGATION AND DRAINAGE

Artificial neural networks approach in evapotranspiration modeling: a review

(2010) M. Kumar et al.   IRRIGATION SCIENCE

Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

(2010) Coskun Ozkan et al.   IRRIGATION SCIENCE

Neuro-Drip: estimation of subsurface wetting patterns for drip irrigation using neural networks

(2010) A. C. Hinnell et al.   IRRIGATION SCIENCE

Artificial neural network model as a potential alternative for groundwater salinity forecasting

(2010) Pallavi Banerjee et al.   JOURNAL OF HYDROLOGY

Characterisation of evaporation and drift losses with centre pivots

(2009) J.N. Ortíz et al.   AGRICULTURAL WATER MANAGEMENT

Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model

(2009) Qin Ju et al.   NEUROCOMPUTING

Predict soil texture distributions using an artificial neural network model

(2008) Zhengyong Zhao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation

(2008) S. K. Jain et al.   HYDROLOGICAL PROCESSES