Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …

There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …

Precision agriculture (PA) utilizes tools and technologies to identify in-field soil and crop
variability for improving farming practices and optimizing agronomic inputs. Traditionally …

The methodological process for defining the drainage retention capacity of surface layers
under conditions of unsteady-state groundwater flow was demonstrated. An artificial neural …

Tile drainage is one of the dominant agricultural management practices in the United States
and has greatly expanded since the late 1990s. It has proven effects on land surface water …

Watersheds are spatially explicit landscape units that contain a range of interacting physical,
ecological and social attributes. They are social–ecological systems that provide a range of …

Artificial neural networks are a tool for modeling of nonlinear systems in various engineering
fields. These networks are effective tools for modeling the nonlinear systems. Each artificial …

Crop yield is strongly affected by climate variability. When applying ecohydrologic models to
study climate impacts on crop yield, especially interannual yield responses to climate …

Effective and efficient methods are needed to map agricultural subsurface drainage systems.
Visible-color (VIS-C), multispectral (MS), and thermal infrared (TIR) imagery obtained by …

Complete transformations of land cover from prairie, wetlands, and hardwood forests to row
crop agriculture and urban centers are thought to have caused profound changes in …