Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients,
light, space, and carbon dioxide, which need to be controlled to meet future food production …

Precision farming is one of the top 10 innovations in modern agriculture (Crookston 2006).
Precision farming is generally defined as doing the right practice at the right location and …

In most developing countries, farming is the best safety net against hunger, and keeping
production costs under control without sacrificing crop yield is essential for survival. The …

Mapping crop within-field yield variability provide an essential piece of information for
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …

Soil samples were collected on a 0.4 ha (1.0 ac) grid from two agricultural fields in
northeastern Mississippi. The samples were measured for soil nutrient composition, soil …

This research evaluated the factors that influenced cotton (Gossypium hirsutum L.)
producers to adopt remote sensing for variable-rate application of inputs. A logit model …

The main goal of this study was to quantify within and between field variability in mapping
agricultural crop types, their biophysical characteristics, and yield for precision-farming …

Mapping the within-field variability of crop status is of great interest in precision agriculture
that seeks to match agronomic inputs to crop demand, both spatially and temporally. In this …

Radiometric data can be useful to determine the impact of field heterogeneity, irrigation, and
fertilization on plant water and N use. A 2‐yr (1998–1999) study was conducted on the …

Airborne digital imagery is becoming an increasingly important data source for precision
agriculture. In thisstudy, airborne digital imagery and yield monitor data were used to map …