Agriculture faces the challenge of providing food, fibre and energy from limited land
resources to satisfy the changing needs of a growing world population. Global megatrends …

The downside risk of crop production affects the entire supply chain of the agricultural
industry nationally and globally. This also has a profound impact on food security, and thus …

This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …

In the global context of population growth and climate change, monitoring crops is
necessary to sustain agriculture and conserve natural resources. While many studies have …

Weeds compete with crops and are hard to differentiate and identify due to their similarities
in color, shape, and size. In this study, the weed species present in sorghum (sorghum …

Because canola is a major oilseed crop, accurately determining its planting areas is crucial
for ensuring food security and achieving UN 2030 sustainable development goals. However …

Different techniques utilized for map** various crops are mainly based on using training
dataset. But, due to difficulties of access to a well-represented training data, development of …

Airborne hyperspectral images are used for crop identification with a high classification
accuracy because of their high spectral resolution, spatial resolution, and signal-to-noise …

A major function of satellite imagery is crop identification and separation, which is of key
importance in acreage estimation, yield estimation, and agricultural management. This study …

With the growth of the low altitude remote sensing (LARS) industry in recent years, their
practical application in precision agriculture seems all the more possible. However, only a …