Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity
is increasing worldwide, resulting in tighter regulation of its use for agriculture. This …

Soil–plant–atmosphere models and certain land surface models usually require information
about the ability of soils to store and release water. Thus, a critical soil parameter for such …

It is of critical importance to understand the relationships between crop yield, soil properties
and topographic characteristics for agricultural management. This study's objective was to …

Process-oriented crop growth models simulate plant growth over homogeneous areas. The
advent of precision farming has resulted in the need to extend the use of point-based crop …

Spatial heterogeneity of crop growth within fields is rarely quantified but essential for
estimating yield and optimizing crop management. Relationships in fields between crop …

This article examines the utility of a digitally derived cartographic depth-to-water (DTW)
index to model and map variations in drainage, vegetation and soil type and select soil …

One common limitation of the use of crop models for decision making in precise crop
management is the need for accurate values of soil parameters for a whole field. Estimating …

Spatial variability in crop production occurs as a result of spatial and temporal variations in
soil structure and fertility; irrigation applications; pests and diseases; and plant genetics. It is …

Radio Frequency Identification (RFID) technology is commonly used for object or animal
identification andtracking. In this article, we explore the feasibility of its use in a rapid …

Spatial variation in landscape and soil properties combined with temporal variations in
weather can result in yield patterns that change annually within a field. The complexity of …