Modelo de muestreo comprimido multiespectral para radio cognitiva

Marín, Jeison; Betancur, Leonardo; Argüello, Henry

doi:10.4067/s0718-33052018000200225

Cited by 3 publications

(4 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The value of the indices were obtained for each point, using the ArcGIS Spatial Analyst Extract Multi Values to Points tool, which extracts cell values at specified locations in a point feature class from one or more rasters and records the values in the attribute table of the point feature class (ArcGis. 2020), in order to obtain a reliable value of each treatment (Marín et al, 2018). Finally, the table of attributes of the vector shape layer of the point type was extracted, where the maximum and minimum values were obtained, exported as an .xlsx format file that was executed with the Excel program, showing all the points with their values on each chlorophyll index for analysis of variance.…”

Section: Methodsmentioning

confidence: 99%

Use of an unmanned aerial vehicle as an alternative to assess the nutritional status of the cotton crop

Espinoza

Pacheco

2022

RevFacAgron(LUZ)

View full text Add to dashboard Cite

The use of unmanned aerial vehicles in photogrammetric studies allows obtaining spatial data in short periods of time and with high spatial resolution. In the research, multispectral images were processed for the study of nutritional conditions of the cotton crop (Gossypium hirsutum). An experimental design of the crop was developed, with different doses and nitrogen sources, in a factorial arrangement with 16 treatments and 4 repetitions in plots completely distributed at random. The EBEE SQ agricultural drone, equipped with the Parrot Sequoia camera, was used and a photogrammetric flight was planned, with the Emoticon AG software, which was synchronized with the drone to establish the flight parameters and capture the reflectance information of the visible spectrum, infrared and red border. The captured images were processed with the PIX4D Mapper software to generate the orthophoto and the 4 spectral bands used in the calculation of the chlorophyll index. Using map algebra tools from ArcGIS software on the results obtained, an analysis of variance was performed with the ANOVA model. With the calculated indices it was possible to show differences in the vigor of the crop depending on the treatments. The analysis of the results showed significant differences in the spectral response of the cotton crop fertilized with different sources (urea, pine nut cake, hen manure and bovine manure) and nitrogen doses (50, 100, 150 and 200 N kg.ha-1). Urea treatment at the 150 dose of N kg.ha-1 showed the best spectral response.

show abstract

Section: Methodsmentioning

confidence: 99%

Use of an unmanned aerial vehicle as an alternative to assess the nutritional status of the cotton crop

Espinoza

Pacheco

2022

RevFacAgron(LUZ)

View full text Add to dashboard Cite

show abstract

“…In the transmitter node, image processing was used to classify images and reduce the amount of data in an image using compressive sensing. The image data is transformed using a wavelet representation base [74,[82][83][84][85][86][87][88]. As a result, this transformation unites the samples and reduces the variability of the original data.…”

Section: Stage I: Processing and Classificationmentioning

confidence: 99%

“…k (data value dispersion relation) and s are elements of the original signal that differ from zero (the most representative). Signals with low dispersion (high value of k) can be converted to signals with greater dispersion via lineal transformation f by f = s and f ∈ R N×N , which in our case represents data on wavelet transform [82,[91][92][93][94][95].…”

Section: Stage Ii: Compressive Sensingmentioning

confidence: 99%

A Communication Framework for Image Transmission through LPWAN Technology

2022

View full text Add to dashboard Cite

Analyzing the conditions of use and selecting which technology is more efficient to apply is required when transmitting information through wireless networks.The Internet of Things (IoT) has gained traction in industry and academia as a paradigm in which information and communication technologies merge to deliver unique solutions by detecting, actuating, calculating, and sharing massive volumes of data via embedded systems. In this scenario, Low-Power Wide-Area Networks (LPWAN) appear to be an attractive solution for node connectivity. Typical IoT solutions demand flexible restrictions for wireless communication networks in terms of data rates and latency in exchange for having larger communication ranges and low energy consumption. Nonetheless, as the amount of data and data speeds demanded for particular applications increase, such as image transmissions, IoT network connectivity deteriorates. This paper proposes a communication architecture for image transmission across LPWAN networks utilizing LoRa modulation. The framework combines image processing techniques (classification, compressive sensing (CS), and reconstruction) with an investigation of LoRa modulation parameters using a Software-Defined Radio (SDR) environment. The results show that is possible to communicate an image of 128×128 pixels with four packets and one frequency channel in 2.51 s.

show abstract

“…Another solution is to employ g and the sense matrix with algorithms such as "IterativeHardThresholding" (IHT), "OrthogonalMatchingPursuit" (OMP), "GradientP rojectionforSparseReconstruction" (GPSR) o "Two − stepIterativeShrinkage/Thresholding" (Twist). [45,[53][54][55].…”

Section: Compression Techniquementioning

confidence: 99%

Agricultural monitoring system using images through a LPWAN network

Chaparro Becerra

View full text Add to dashboard Cite

I want to begin by thanking God and Our Lady, thanks a lot for your company, support and give effort in the difficult moments. I'd like to express my gratitude to my wife for her unwavering support and never-ending encouragement over all of my years of study as well as during the process of gathering information and writing this thesis. All of this would not be possible without you. I am grateful that my daughter, who arrived in the middle of this process and gave me a special motivation to fight for this dream. I'm grateful. Juli and Sofí, this is for you, my loves.I must convey my sincere gratitude to my family, specifically to my parents, my brother, my sister, and my wife's parents and sister. I'd like to express my gratitude to my thesis advisors, Ph.

show abstract

Modelo de muestreo comprimido multiespectral para radio cognitiva

Cited by 3 publications

References 38 publications

Use of an unmanned aerial vehicle as an alternative to assess the nutritional status of the cotton crop

Use of an unmanned aerial vehicle as an alternative to assess the nutritional status of the cotton crop

A Communication Framework for Image Transmission through LPWAN Technology

Agricultural monitoring system using images through a LPWAN network

Contact Info

Product

Resources

About