Analyzing Possible Network Solutions for loT Communication Protocols and their Applications in Smart Farming

Tsankov, Yordan; Atanasov, Veselin; Sivkov, Yordan

doi:10.1109/siela54794.2022.9845740

Cited by 4 publications

(3 citation statements)

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“…The data sets can be usefully applied not only to calculate NDVI index, but they can be used to calculate a variety of agricultural indexes [5] and to design new ones for permanent monitoring of the different crop growing phases in smart crop production [6,7,8,9]. Fig.…”

Section: Resultsmentioning

confidence: 99%

Drone multispectral and thermal images data processing for intelligent agriculture support

Tsvetkov

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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Nowadays, modern technologies are more and more accessible, cheaper and easier to use. Part of them are the multisensor remotely controlled aerial platforms or the so-called “drones”. This paper presents the results of a research for the possibilities of mixing and processing multi-spectral and thermal images from aerial drone sensors for the intelligent agriculture support. Time series of multi-spectral images from the DJI Phantom 4 Multispectral and thermal images from the DJI Mavic 2 Enterprise Advanced over same area are processed. An approach of a new methodology for data fusion of drone multispectral and thermal (LWIR) images data processing for intelligent agriculture support is proposed.

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Section: Resultsmentioning

confidence: 99%

Drone multispectral and thermal images data processing for intelligent agriculture support

Tsvetkov

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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“…The survey data sets are listed in Tables from 4 to 6. Using an approaches and mathematical apparatus of the authors [11, 12,13,14,15,16,17] the data sets can be usefully applied in the decision making support processes in smart crop production.…”

Section: Datamentioning

confidence: 99%

Satellite and drone multispectral and thermal images data fusion for intelligent agriculture monitoring and decision making support

Tsvetkov

2023

Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV

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Intelligent agriculture increasingly relies on modern technologies for reliable monitoring of crops and timely detection of areas in which special intervention is needed to ensure the planned yields. This paper represents the results of a study of the possibilities of fusion and processing of multi-spectral and thermal data from satellite systems and such from remotely controlled platforms (drones) for the decision making support in intelligent agriculture. The study examined images with different resolutions, such as from the Sentinel-2, Landsat and Planet Labs satellite systems, as well as multi-spectral images from the commercial drones DJI Phantom 4 Multispectral and thermal images (thermograms) from the DJI Mavic 2 Enterprise Advanced.

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“…For the disaster assessment [7,9,11,13,15,17,19] in the area of the Türkiye -Syria border Sentinel-2 images with close to zero percentage cloud coverage was selected. Two products covered plate T36SYF in accordance of European Space Agency (ESA) naming nomenclature from dates 2022.10.27 and 2023.03.01 was used for the survey presentation in the paper.…”

Section: Satellite Datamentioning

confidence: 99%

Change detection techniques for urban area disaster assessment using high resolution satellite data

Tsvetkov

2023

Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023)

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Unfortunately, the year 2023 began with a devastating earthquakes unprecedented in recent years, spreading over the territories of two neighboring countries (Turkey and Syria) located on the same tectonic plate. On the night of February 6, 2023, Turkey and Syria were hit by a powerful 7.8 magnitude earthquake. The earthquake was one of the strongest in the region in more than a century. Even more devastation was caused by aftershocks that hit both countries hours later. A few days later, weaker earthquakes were reported in two other countries (Romania and Croatia) located on different with respect to first one, but neighboring, tectonic plate. This paper represents an approach for using change detection techniques based on free access high resolution Earth observation satellite data (Sentinel, Landsat) for assessment of the consequences caused by earthquakes in an urban area. Known change detection techniques have been investigated such as: image differencing, image rationing, change detection based on indexes calculation and comparison, etc.As a result, a comparative analysis of the investigated change detection techniques with respect to an urban area adequacy is presented.

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Analyzing Possible Network Solutions for loT Communication Protocols and their Applications in Smart Farming

Cited by 4 publications

References 0 publications

Drone multispectral and thermal images data processing for intelligent agriculture support

Drone multispectral and thermal images data processing for intelligent agriculture support

Satellite and drone multispectral and thermal images data fusion for intelligent agriculture monitoring and decision making support

Change detection techniques for urban area disaster assessment using high resolution satellite data

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