Determination Aquaculture Area in Thanh Phu District, Ben Tre Province, Vietnam Using Remote Sensing Technology

Phonphan, Walaiporn; Điệp, Nguyễn Thị Hồng; Korsem, Thitinat

doi:10.1166/asl.2018.11734

Cited by 3 publications

(2 citation statements)

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“…Its basic components are Reader and Tag, and some also contain independent signal antennas. There are generally two basic working principles: one is to use radio frequency signals and spatial coupling (inductive or electromagnetic coupling), and the other is to use the transmission characteristics of radar reflection to achieve automatic recognition of target objects 19,20 . When the target object with the RFID tag enters the working area of the reader, its tag antenna generates an induced current in the magnetic field of various frequencies emitted by the reader and then supplies it to the chip of the tag through rectification and filtering, so that the RFID tag obtains a small amount of energy you can run 21,22 .…”

Section: Mineral Remote Sensing Monitoring Technologymentioning

confidence: 99%

Internet of Things technology in mineral remote sensing monitoring

Liu

Dhakal

2020

Circuit Theory & Apps

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At present, the rapid development of the national economy consumes a lot of mineral resources, but the national resource extraction efficiency is low. The traditional prospecting methods consume time, money, and personnel, which cannot meet the national demand for resources in a short time. Therefore, technological innovation is needed to reduce consumption in all aspects. With the continuous development of Internet of Things technology, its application is also more extensive. This paper studies the application of Internet of Things technology in mineral remote sensing monitoring. First of all, this research mainly uses the wireless communication technology in the Internet of Things to achieve data transmission and sharing in a short distance and, second, based on the remote sensing monitoring results of the mine environment to comprehensively understand the mining area and find the suitable mining mineral resources at the fastest speed; finally, the dynamic frame time slot ALOHA algorithm is used to estimate the existing data to ensure the availability of the data. The experimental data show that vector point encryption is performed on the center line of the mine at intervals of 10, 15, 20, 30, and 50 m, respectively, and the dynamic frame slot algorithm is used to calculate the appropriate mine mining curve radius. The experimental results show that the application of Internet of Things technology in mineral remote sensing monitoring can accelerate the mining of mineral resources.

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Section: Mineral Remote Sensing Monitoring Technologymentioning

confidence: 99%

Internet of Things technology in mineral remote sensing monitoring

Liu

Dhakal

2020

Circuit Theory & Apps

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“…With the increasing maturity of forestry remote sensing technology and the diversification of information detection and estimation methods, it is necessary to apply this technology to forestry scientific research and production [43,44]. eCognition is an important software in remote sensing classification technology, which is generally applied to large-scale remote sensing image analysis [45].…”

Section: Stomatal Extractionmentioning

confidence: 99%

Rapid Estimation of Stomatal Density and Stomatal Area of Plant Leaves Based on Object-Oriented Classification and Its Ecological Trade-Off Strategy Analysis

Zhu

et al. 2018

Forests

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Leaf stomata are important structures used for exchanging matter between plants and the environment, and they are very sensitive to environmental changes. The method of efficiently extracting stomata, as well as measuring stomatal density and area, still lacks established techniques. This study focused on the leaves of Fraxinus pennsylvanica Marshall, Ailanthus altissima (Mill.) Swingle, and Sophora japonica (L.) Schott grown on different underlying surfaces and carried out an analysis of stomatal information using multiscale segmentation and classification recognition as well as microscopy images of leaf stomata via eCognition Developer 64 software (Munich, Germany). Using this method, we further analyzed the ecological significance of stomata. The results were as follows: (1) The best parameters of stomatal division and automatic extraction rules were scale parameter 120–125 + shape parameter 0.7 + compactness parameter 0.9 + brightness value 160–220 + red light band >95 + shape–density index 1.5–2.2; the accuracy of stomatal density and stomatal area using this method were 98.2% and 95.4%, respectively. (2) There was a very significant correlation among stomatal density, stomatal area, and stomatal shape index under different growing environments. When the stomatal density increased, the stomatal area lowered remarkably and the stomatal shape tended to be flat, suggesting that the plants had adopted some regulatory behavior at the stomatal level that might be an ecological trade-off strategy for plants to adapt to a particular growing environment. These findings provide a new approach and applicable parameters for stomata extraction, which can further calculate the stomatal density and stomatal area and deepen our understanding of the relationship between stomata and the environment. The study provides useful information for urban planners on the breeding and introduction of high-temperature-resistant urban plants.

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A review of microplastic pollution in aquaculture: Sources, effects, removal strategies and prospects

Hou

Wang

2023

Ecotoxicology and Environmental Safety

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Determination Aquaculture Area in Thanh Phu District, Ben Tre Province, Vietnam Using Remote Sensing Technology

Cited by 3 publications

References 0 publications

Internet of Things technology in mineral remote sensing monitoring

Internet of Things technology in mineral remote sensing monitoring

Rapid Estimation of Stomatal Density and Stomatal Area of Plant Leaves Based on Object-Oriented Classification and Its Ecological Trade-Off Strategy Analysis

A review of microplastic pollution in aquaculture: Sources, effects, removal strategies and prospects

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