Macronutrient inputs to annual cropping systems can benefit weeds as well as crops,
sometimes decreasing or eliminating the benefits of fertilization. This interaction between …

Monitoring and maximization of bioenergy yield from biomass feedstock has recently
become a critically important goal for researchers. Remote sensing represents a potential …

Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping …

Background Above-ground biomass (AGB) is a basic agronomic parameter for field
investigation and is frequently used to indicate crop growth status, the effects of agricultural …

Timely and non-destructive assessment of crop yield is an essential part of agricultural
remote sensing (RS). The development of unmanned aerial vehicles (UAVs) has provided a …

Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …

In this study, the relationship between land surface temperature (LST) and Land Use/Land
Cover (LULC) in Tehran Metropolitan City was studied using Landsat TM satellite image. For …

Advances in automation and data science have led agriculturists to seek real-time, high-
quality, high-volume crop data to accelerate crop improvement through breeding and to …

Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding
and crop management, and can be used for crop yield prediction. A number of vegetation …

Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …