Design and Method of an Agricultural Drone System Using Biomass Vegetation Indices and Multispectral Images

Meivel, S.; Maheswari, S.; Banu, D. Faridha

doi:10.1007/978-3-031-19309-5_25

Cited by 2 publications

(1 citation statement)

References 42 publications

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“…Almost all mangrove species are distinguishable in the visible and near-infrared infrared because of the dispersion in porous mesenchymal cells in plants (Zulfa et al 2021;Zulfa et al 2020). In addition to the image classification method combined with random forest terminology, the determination of chlorophyll content in plant leaves according to plant indicators based on spectroscopic measurements is also a common method for classifying plants (Meivel et al 2023;Xue et al 2009). Botanical indicators using a wave range from 550 nm to 730 nm are suitable for plant classification purposes due to the different leaf structures of each species (Zhao et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data

Ngo,

Quoc,

Dang

et al. 2024

GES

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Mangroves are one of the most important types of wetlands in coastal areas and perform many different functions. Assessing the structure and function of mangroves is a premise for the management, monitoring and development of this most diverse and vulnerable ecosystem. In this study, the unmanned aerial vehicle (UAV) Phantom 4 Multispectral was used to analyse the structure of a mangrove forest area of approximately 50 hectares in Dong Rui commune, Tien Yen district, Quang Ninh Province – one of the most diverse wetland ecosystems in northern Vietnam. Based on the visual classification method combined with the results of field taxonomic sampling, a mangrove tree classification map was established for UAV with three species, Bruguiera gymnorrhiza, Rhizophora stylosa, and Kandelia obovata, achieving an overall accuracy = 86.28%, corresponding to a Kappa coefficient =0.84. From the images obtained from the UAV, we estimated and developed maps and assessed the difference in tree height and four vegetation indices, including the normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), enhanced vegetation index (EVI), and green chlorophyll index (GCI), for three mangrove plant species in the flying area. Bruguiera gymnorrhiza and Rhizophora stylosa reach an average height of 4 to 5 m and are distributed mainly in high tide areas. Meanwhile, Kandelia obovata has a lower height (ranging from 2 to 4 m), distributed in low-tide areas, near frequent flows. This study confirms the superiority of UAV with red edge and near-infrared wave bands in classifying and studying mangrove structures in small-scale areas.

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Section: Discussionmentioning

confidence: 99%

Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data

Ngo,

Quoc,

Dang

et al. 2024

GES

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Research Analysis of Data Exploration and Visualization Dashboard Using Data Science

Faridha Banu,

Kousalya,

Varsha

et al. 2024

Multidisciplinary Applications of AI Robotics and Autonomous Systems

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Any attempt to explain the relevance of data by putting it in a visual context is referred to as data visualization. With the aid of data visualization software, patterns, trends, and correlations that could go unnoticed in text-based data can be exposed and identified more easily. The graphical presentation of quantitative information is known as data visualization. In other words, data visualizations convert big and small data sets into pictures that the human brain can comprehend and digest more readily. In our daily lives, data visualizations are surprisingly prevalent, yet they frequently take the shape of recognizable charts and graphs. It can be applied to find unknown trends and facts. When communication, data science, and design come together, good data visualizations are produced. When done well, data visualizations provide important insights into complex data sets in clear, understandable ways. The authors talk about data visualization, its significance, tools for data visualization, etc. in this chapter.

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Design and Method of an Agricultural Drone System Using Biomass Vegetation Indices and Multispectral Images

Cited by 2 publications

References 42 publications

Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data

Analysis Of The Mangrove Structure In The Dong Rui Commune Based On Multispectral Unmanned Aerial Vehicle Image Data

Research Analysis of Data Exploration and Visualization Dashboard Using Data Science

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