Advances in sensor miniaturization are increasing the global popularity of unmanned aerial
vehicle (UAV)-based remote sensing applications in many domains of agriculture. Fruit …

Since the beginning of the 21st century, there has been an increase in the agricultural area
devoted to olive growing and in the consumption of extra virgin olive oil (EVOO). The …

Precision agriculture (PA) constitutes one of the most critical sectors of remote sensing
applications that allow obtaining spatial segmentation and within-field variability information …

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 …

The extraction of information about individual trees is essential to supporting the growing of
fruit in orchard management. Data acquired from spectral sensors mounted on unmanned …

Despite the wide use of the Normalized Difference Vegetation Index (NDVI) in precision
viticulture, there are no studies aimed at discriminating the contribution of plant biomass …

In this paper, we propose an original deep learning framework for the automated counting
and geolocation of palm trees from aerial images using convolutional neural networks. For …

Automatic tree density estimation and counting using single aerial and satellite images is a
challenging task in photogrammetry and remote sensing, yet has an important role in forest …

Abstract Unmanned Aerial Vehicles (UAVs) combined with machine learning have a great
potential for crop yield estimation. In this study, a UAV equipped with an RGB (Red, Green …

High-throughput plant phenotyping requires integrated image-based tools for automated
and simultaneous quantification of multiple morphological and physiological traits, which are …