Leaf area index (LAI) and biomass are important indicators of crop development and the
availability of this information during the growing season can support farmer decision …

Over a five year period (2004–08), 1171 surface water samples were collected from up to 24
sampling locations representing a wide range of stream orders, in a river basin in eastern …

Accurately obtaining the spatial distribution information of fruit tree planting is of great
significance to the development of fruit tree growth monitoring, disease and pest control, and …

Water table depth (WTD), soil texture, and growing season weather conditions all play
critical roles in determining agricultural yield; however, the interactions among these three …

For remote sensing to be useful for analyzing crop yield gaps, methods should be accurate
at the field scale without need for local ground calibration. We used an extensive field‐level …

A timely and accurate crop yield forecast is crucial to make better decisions on crop
management, marketing, and storage by assessing ahead and implementing based on …

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

Soybean is a pivotal agricultural commodity around the world, primarily because of its high
seed protein and oil concentration. Therefore, farmers, breeders and end-users are highly …

This paper explored the ability of remote sensing (RS) and meteorological data to map the
variability of yield/biomass in cultivated wheat (Triticum aestivum). The methodology …

Information on crop types derived from remotely sensed images provides valuable input for
many applications such as crop growth modeling and yield forecasting. In this paper, a …