soil water content is one of the most important parameters for estimating irrigation frequency and providing the plant’s water requirement. since measurement of soil water content is both expensive and time consuming, water movement models are used to estimate these values. in this study, leachw model was used to estimate soil water content for two “dry” (20-29 aug) and “wet” (1-6 jul) periods ...

abstract using mathematical models for irrigation management have great impacts to increase irrigation efficiency and product amount, in fields. in this study, simulation results by swap model for moisture, compared with soil profiles moisture values, measured in the field. moisture data, measured at three wheat farms in the neyshabur plain, were used to predict moisture. results show good agre...

the study comparatively assessed the impacts of farm activities on the abundance and diversity of soil arthropods and soil physico-chemical parameters of the practical year training programme (pytp) farmlands, university of ibadan, south western nigeria. soil arthropods were collected from september, 2010 to february, 2011 in five sampling sites of pytp farmlands using berlese tullgren extracti...

A critical step in the quantification of soil quality (SQ) is the selection of SQ benchmarks. The benchmarks used in this study were SQ ratings made by 32 farmer collaborators representing a range of farming systems, scales of operation and geographic locations in the Mid-Atlantic region of USA. Soils from 45 pairs of sites identified by their farmers as having good and poor SQ were sampled ove...

• Soil hydrologic parameters including field saturation, field capacity, initiation of plant water stress and plant extraction limits can be reliably determined from electronic soil moisture sensor records. • Soil profile wetting and drying occurs along a regular continuum of soil moisture following the advance of the wetting from to the effective base of the soil profile. • Frozen soil conditi...

The purpose of this study was to develop an approach to estimate soil surface parameters from C-band polarimetric SAR data in the case of bare agricultural soils. An inversion technique based on multi-layer perceptron (MLP) neural networks was introduced. The neural networks were trained and validated on a noisy simulated dataset generated from the Integral Equation Model (IEM) on a wide range ...

Developing correlations between various soil parameters are considered the major challenge to diminish time and cost associated with field measurements. Soil hydraulic and physical properties were extensively characterized using tension disc infiltrometer and soil sampling in a silty clay agricultural field in Kalaat El-Andalous, Tunisia. Tension disc infiltrometer experiments were conducted at...