Due to technology development related to agricultural production, aircrafts such as the Unmanned Aerial Vehicle (UAV) and technologies such as Multispectral photogrammetry and Remote Sensing, have great potential in supporting some of the pressing problems faced by agricultural production in terms of analysis and testing of variables. This paper reports an experience related to the analysis of a vineyard with multispectral photogrammetry technology and UAVs and it demonstrates its great potential to analyze the Normalized Difference Vegetation Index (NDVI), the Near-Infrared Spectroscopy (NIRS) and the Digital Elevation Model (DEM) applied in the agriculture framework to collect information on the vegetative state of the crop, soil and plant moisture, and biomass density maps of. In addition, the collected information is analyzed with the PIX4D Cloud Computing technology software and its advantages over software that work with other data processing are highlighted. This research shows, therefore, the possibility that efficient plantations can be developed with the use of multispectral photogrammetry and the analysis of digital images from this process.
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http://dx.doi.org/10.1016/j.heliyon.2019.e01277 | DOI Listing |
Data Brief
December 2024
Research Institute of the University of Bucharest (ICUB), University of Bucharest, Bulevardul Regina Elisabeta 4-13, Bucharest 030018, Romania.
Sensors (Basel)
December 2024
Institute of Civil Engineering, Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznan, Poland.
The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera.
View Article and Find Full Text PDFSensors (Basel)
August 2024
Louisiana State University Agriculture Center, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA 70803, USA.
This study documented the contribution of precise positioning involving a global navigation satellite system (GNSS) and a real-time kinematic (RTK) system in unmanned aerial vehicle (UAV) photogrammetry, particularly for establishing the coordinate data of ground control points (GCPs). Without augmentation, GNSS positioning solutions are inaccurate and pose a high degree of uncertainty if such data are used in UAV data processing for mapping. The evaluation included a comparative assessment of sample coordinates involving RTK and an ordinary GPS device and the application of precise GCP data for UAV photogrammetry in field crop research, monitoring nitrogen deficiency stress in maize.
View Article and Find Full Text PDFSci Total Environ
November 2024
Laboratory of Sustainable Waste Management Technologies, School of Science and Technology, Hellenic Open University, Building D, 1(st) Floor, Parodos Aristotelous 18, 26335, Patras, Greece. Electronic address:
In the ongoing Anthropocene era, air quality monitoring constitutes a primary axis of European and international policies for all sectors, including Waste Water Treatment Plants (WWTPs). Unmanned Aerial Systems (UASs) with proper sensing equipment provide an edge technology for air quality and odor monitoring. In addition, Unmanned Aerial Vehicle (UAV) photogrammetry has been used in civil engineering, environmental (water) quality assessment and lately for industrial facilities monitoring.
View Article and Find Full Text PDFData Brief
August 2024
Laboratoire de Botanique, Université Félix Houphouët-Boigny, Abidjan, Côte d'Ivoire.
This paper introduces a dataset of aerial imagery captured during the 2022 cocoa growing season in the central-western region of Côte d'Ivoire. The images were acquired using a multispectral camera mounted on a DJI Phantom 4 unmanned aerial vehicle (UAV). The agricultural land surveyed encompasses 10 different types of cocoa-based agroforestry systems, each ranging from 2.
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