Tree Profiling and Data Analysis of Forest Canopy Cover Using Aerial Images

Kumar, G. Pradeep; Harshini, V.; Nithyakalyani, S.; Sneha, R.

doi:10.1109/vitecon58111.2023.10157202

2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN) 2023

DOI: 10.1109/vitecon58111.2023.10157202

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Tree Profiling and Data Analysis of Forest Canopy Cover Using Aerial Images

G. Pradeep Kumar

V. Harshini

S. Nithyakalyani

et al.

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2024

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Green Mapper: An AI-Driven Initiative for Aerial Tree Mapping, Maintaining Environmental Balance

Thalor,

Khan,

Bhongale

et al. 2024

Curr Agri Res Jour

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Green Mapper revolutionizes environmental conservation efforts with its advanced software solution for efficient tree mapping and analysis. Leveraging the YOLOv5 machine learning algorithm, the platform enables precise identification and quantification of trees in aerial imagery, facilitating strategic resource allocation. Collaborative features foster partnerships with NGOs, promoting coordinated sustainable forest management. YOLOv5's exceptional object detection capabilities justify its selection, ensuring both speed and accuracy in tree detection. Green Mapper's integration of advanced technology and collaboration empowers stakeholders to make informed decisions for sustainable forest management, contributing significantly to environmental conservation efforts.

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Green Mapper: An AI-Driven Initiative for Aerial Tree Mapping, Maintaining Environmental Balance

Thalor,

Khan,

Bhongale

et al. 2024

Curr Agri Res Jour

View full text Add to dashboard Cite

show abstract

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Tree Profiling and Data Analysis of Forest Canopy Cover Using Aerial Images

Cited by 1 publication

References 11 publications

Green Mapper: An AI-Driven Initiative for Aerial Tree Mapping, Maintaining Environmental Balance

Green Mapper: An AI-Driven Initiative for Aerial Tree Mapping, Maintaining Environmental Balance

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