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Unmanned aerial vehicle (UAV)-based thermal imaging
- In recent years, unmanned aerial vehicle (UAV)-based thermal imaging has been widely used in precision agriculture for detecting crop diseases and stress, and this technique has significant potential to also assess crop performance on sodic soils.
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Aug 1, 2021 · In recent years, unmanned aerial vehicle (UAV)-based thermal imaging has been widely used in precision agriculture for detecting crop diseases and stress, and this technique has significant potential to also assess crop performance on sodic soils.
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- Development of Crop Water Stress Index of Wheat Crop for Scheduling Irrigation Using Infrared Thermometry
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- View Abstract
Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool in precision agriculture (PA). In that context, thermal RS has many potential uses. The surface temperature of plants changes rapidly under stress conditions, which makes thermal RS a useful tool for real-time detection of plant stress conditions.
- Gaetano Messina, Giuseppe Modica
- 2020
Abstract: This study investigated three different types of multispectral imaging systems for airborne remote sensing to support management in agricultural application and production. The three systems have been used in agricultural studies.
Dec 1, 2023 · Imaging modalities are often categorized by the method in which images are generated (Jacques and Christe, 2020), and in the case of UAV imagery for agricultural applications, images and videos are acquired in three main modalities: visible spectrum, multispectral, and hyperspectral.
- Manuel Vázquez-Arellano, Hans W. Griepentrog, David Reiser, Dimitris S. Paraforos
- 2016
- Triangulation. Triangulation based techniques using UAVs have been thoroughly investigated. Since these aerial vehicles are very cost effective compared to airplanes, and the images are of higher resolution compared with satellites, more research and commercial applications can be foreseen.
- TOF. With regard to the use of scout robots, Garrido et al. [106] reconstructed maize plants by overlapping LIDAR point clouds using a field robot for data acquisition and a robotic total station for geo-referencing the point clouds, relying on sensor fusion, filtering and processing to reconstruct the 3-D plant structure, and concluding that the orientation of the 3-D sensor is very important.
- Interferometry. Interferometry has been used for a long time to measure plant growth or motion changes under different stimuli. Currently, interferometric techniques are being investigated using a 3-D approach for seed inspection and quality control.
Oct 7, 2019 · UAV-based IoT technology is considered as the future of remote sensing in Precision Agriculture. UAVs’ ability to fly at a low altitude results in ultra-high spatial resolution images of the crops (i.e., a few centimeters).
Jul 14, 2020 · Remote sensing technology, such as unmanned aircraft systems (hereafter drones) are becoming popular in the environmental community as effective and cost-saving options for field-based work,...
