Precision agriculture (PA) is the application of geospatial techniques and sensors (eg,
geographic information systems, remote sensing, GPS) to identify variations in the field and …

The applications of remote sensing technologies to precision agriculture were reviewed. The
different uses of conventional satellites and unmanned aerial vehicles (UAVs) for data …

Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the
assessment of crop growth, and are therefore important for agricultural management …

Winter wheat is a widely-grown cereal crop worldwide. Using growth-stage information to
estimate winter wheat yields in a timely manner is essential for accurate crop management …

Wetlands are a critical component of the landscape for climate mitigation, adaptation,
biodiversity, and human health and prosperity. Keeping an eye on wetland vegetation is …

Crop yield is related to national food security and economic performance, and it is therefore
important to estimate this parameter quickly and accurately. In this work, we estimate the …

Farmers explore the capabilities for applications of Robotic Process Automation (RPA) with
image processing, pattern recognition and machine learning, so its logical to ask where best …

Sugar beet (Beta vulgaris L.) is the second largest sugar source crop in the world. Sugar
content in its beetroot is an important quality index of sugar beet. Rapid and accurate …

Monitoring the maturity of fruit in commercial orchards can help growers optimise the time of
harvest. Dry matter content (DM) of fruit is used as an indicator of mango maturity, measured …

The objective of this paper is to investigate the sensitivity of reflectance to the variation in
biochemical and biophysical variables at leaf, canopy, and regional scales using a modeling …