Extensive Rooftop Expression Identification and Spatial Analysis

DOI

10.2991/978-94-6463-196-8_38How to use a DOI?

Keywords

Geospatial Technology; Spatial Analysis; solar energy; Agrivoltaics; green energy; photovoltaic cell; Rooftop etc.

Abstract

This Research is going to explore innovative ways for Site Evaluation and Potential Assessment to utilize sunlight hitting rooftop extent for green energy potential and agriculture practices. It may intend to green energy, green roofs and water harvesting as per extent area. In this scenario, it is essential to estimate the existing open flat roof surface with full sun on it, hitting light but absolutely no utilization of the surface. The investigation of the urban rooftop extent based on geospatial technology an extensive roof top for solar potential assessment and as to establishing a benchmark for a multifunctional system within one surface area at household level. Those are green energy potential, water harvesting and agriculture practices. A new term Agrivoltaics practice at household level an Agrivoltaics is the process of farming crops under shade of the solar system. In this scenario an Agrivoltaics is an approach for the cultivation of vegetables or portable agriculture system installation at urban rooftop. In this research a major focus on evaluation of site estimation, quantification and potential measure analysis similarly to interpret the role of technology in this scenario. This will be ensure the utilization of existing resources smartly as under stressed resources due to urbanization, population, industrialization and pollution. A specific convinced technology can boost green energy, vegetable food generation, saving water, healthy environment and major effectiveness for the solar energy potential assessment and generation truthfulness can be extended.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ashok Sangle
AU  - Prapti Deshmukh
PY  - 2023
DA  - 2023/08/10
TI  - Extensive Rooftop Expression Identification and Spatial Analysis
BT  - Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022)
PB  - Atlantis Press
SP  - 496
EP  - 510
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-196-8_38
DO  - 10.2991/978-94-6463-196-8_38
ID  - Sangle2023
ER  -