Empowering sustainable farming practices with AI-enabled interactive visualization of hyperspectral imaging data

被引：0

作者：

Subudhi S. ^{[1
]}

Dabhade R.G. ^{[2
]}

Shastri R. ^{[3
]}

Gundu V. ^{[4
]}

Vignesh G.D. ^{[5
]}

Chaturvedi A. ^{[6
]}

机构：

[1] Department of Computer Science, Maharaja Sriram Chandra Bhanja Deo University, Odisha, Baripada

[2] Electronics & Telecommunication Engineering Department, Matoshri College of Engineering & Research Centre, Maharashtra

[3] Department of E & TC Engineering, Vidya Pratishthan's Kamalnayan Bajaj Institute of Engineering and Technology, SPPU Pune, Baramati

[4] Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, AP, Vaddeswaram

[5] Department of ECE, St Joseph's College of Engineering, Tamilnadu, Chennai

[6] Department of Electronics and Communication Engineering, GLA University, Uttar Pradesh, Mathura

来源：

Measurement: Sensors | 2023年 / 30卷

关键词：

Agriculture; AI; Environmental monitoring; Hyperspectral imaging; Interactive visualization; Resource management; Sustainable farming practices;

D O I：

10.1016/j.measen.2023.100935

中图分类号：

学科分类号：

摘要：

In the context of sustainable applications, this research investigates using artificial intelligence (AI) in interactive visualization for hyperspectral pictures. Detailed spectrum data about the Earth's surface is provided through hyperspectral imaging, allowing for the monitoring and analyzing several phenomena about agriculture, land use, and environmental sustainability. However, processing, analyzing, and interpreting the massive data produced by hyperspectral sensors is challenging. AI methods and interactive visualization provide practical tools for deriving useful information from hyperspectral data and assisting in decision-making for environmentally friendly applications. This study examines the key elements of an interactive visualization framework powered by AI and emphasizes the advantages and implications for sustainable agricultural operations. This sector's difficulties and potential possibilities are also discussed, focusing on the need for data processing optimization, technology integration, user-friendly interfaces, and ethical issues. In general, interactive hyperspectral image visualization powered by AI shows potential for improving sustainability in agriculture and other related fields. © 2023 The Authors

引用

共 8 条

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MEAT SCIENCE, 2020, 169
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