A major challenge for crop research in the 21st century is how to predict crop performance
as a function of genetic architecture. Advances in “next generation” DNA sequencing have …

Unmanned aerial vehicles (UAV) and the sensors they can be equipped with are becoming
more technologically advanced and common place within the agricultural industry. The …

Varying the spatial distribution of applied nitrogen (N) fertilizer to match demand in crops
has been shown to increase profits in Australia. Better matching the timing of N inputs to …

Nitrogen (N) is the largest agricultural input in many Australian crop** systems and
applying the right amount of N in the right place at the right physiological stage is a …

Variable-rate technologies and site-specific crop nutrient management require real-time
spatial information about the potential for response to in-season crop management …

Estimating crop nitrogen (N) status with sensors can be useful to adjust fertilizer levels to
crop requirements, reducing farmers' costs and N losses to the environment. In this study, we …

Soybeans play a key role in global food security. US soybean yields, which comprise 32% of
the total soybeans planted in the world, continue to experience unprecedented grain loss …

Agricultural automation is the core technology for computer-aided agricultural production
management and implementation. An integration of equipment, infotronics, and precision …

Remote sensing (RS) can facilitate the management of water and nutrients in irrigated
crop** systems. Our objective for this study was to evaluate the ability of several RS …

Abstract Comparison of variable rate irrigation (VRI) management with uniform rate irrigation
(URI) management in soybean and corn crops was studied for 2 years in Stoneville …