Accurate and timely weed mapping between and within trees is considered one of the major
challenges in the site-specific weed management systems. This research presents the first …

Crop characterization is considered a prerequisite to devising effective strategies for
ensuring successful implementation of sustainable agricultural management strategies. As …

Numerous applications are hindered by shadows in high resolution satellite remote sensing
images, like image classification, target recognition and change detection. In order to …

Unmanned aerial vehicles (UAVs)/drones are used to capture and monitor real-time data for
various applications. Different sensors may be mounted on the UAV like 4K RGB camera …

Through the increasing use of unmanned aerial vehicles as remote sensing tools, shadows
become evident in aerial imaging; this fact, alongside the higher spatial resolution obtained …

This article presents a defect detection model of sugarcane plantation images. The objective
is to assess the defect areas occurring in the sugarcane plantation before the harvesting …

Shadow removal has developed gradually as a preprocessing step for image classification,
object detection, information extraction, etc. Existing techniques used by researchers …

In recent years, detecting wrecks and submerged sites is a challenging task and time-
consuming. A fine technique is required to pick out features from the sea-floor. Side Scan …

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This work is devoted to the problem of shadow removal from high-resolution remote sensing
imagery. We investigated shadow properties in the HSV invariant color space. On the basis …