In the present work, we construct several artificial neural networks (varying input data) to calculate saturated hydraulic conductivity (KS) using a database with 900 measured samples obtained from Irrigation District 023, in San Juan del Rio, Queretaro, Mexico. All of them were constructed two hidden layers, back-propagation algorithm for learning process, and logistic function as nonlinear tr...

Identifying the vulnerability of soils to compaction damage becomes an increasingly important issue in the planning and execution of farming operations. Soil compaction models are efficient tools for predicting soil compaction due to agricultural field traffic. Most of these models require the knowledge of the stress/strain relationship, as well as the mechanical parameters and their variation ...

abstract saturated hydraulic conductivity (ks) is one of the most important physical properties of soils which is expensive and time-consuming to directly measure. hence, indirect methods, such as pedotransfer functions (ptfs), were developed to predict the ks. previous studies showed that most of the ptfs common in the literature can not suitably predict the ks. hence, this study was conducted...

Production process models have been used for many years in decision support systems agriculture. They allow solving the problems of forecasting yield, operational support, integration with GIS, calculating pedotransfer functions, etc. A high-performance, efficient platform has developed to create powerful yet lightweight applications a wide range tasks. These tasks were solved RW.Ring platform,...

A key parameter for the design of soil drainage and irrigation facilities modelling surface runoff erosion phenomena in land-formed areas is saturated hydraulic conductivity (Ks). There are many methods determining its value. In situ laboratory measurements commonly regarded as most accurate direct methods; however, they costly time-consuming. Alternatives can be found increasingly popular mode...

Multiannual data (2016–2018) from 12 weighed lysimeters (four soil types with textures ranging sandy loam to silt loam, three replicates) of the TERENO SOILCan network were used evaluate if evaporation (E) rates could be predicted weather using FAO Penman–Monteith (PM) method combined water flow simulations Richards equation. Soil hydraulic properties (SHPs) estimated either texture ROSETTA ped...