Home garden robot based on Internet of Things technology, plant 3D data features and spherical calibration and registration
As living standards and material culture improve, the demands for private home garden landscaping have also increased. People no longer limit their expectations for home garden landscapes to the combination of plants and greening functions; instead, there is a greater emphasis on personalization, innovation, and aesthetics. To lower the design threshold for individuals in the home garden landscape design process and enhance the integrated management of plant disease diagnosis, growth analysis, pruning, and cultivation, this paper presents a home garden robot based on Internet of Things (IoT) technology, neural radiance fields (NeRF) for three-dimensional data feature extraction, and spherical calibration registration. This innovation significantly improves the beautification efficiency and quality of home gardens.
Authors
- Wenbo Zhao (ORCID: https://orcid.org/0009-0002-4845-3255)
- Jiechao Gao (ORCID: https://orcid.org/0000-0003-0628-1416)
- Yijie Li (ORCID: https://orcid.org/0000-0002-2313-4322)
- Di Hu (ORCID: https://orcid.org/0000-0002-5531-1135)
- Yu‐Chi Lai (ORCID: https://orcid.org/0000-0001-8578-3101)
- Yilin Qiu (ORCID: https://orcid.org/0009-0008-9809-9622)
- Shuheng Wang (ORCID: https://orcid.org/0009-0005-4107-5038)
Institutions
- Zhejiang Ocean University (CN)
- Zhejiang Gongshang University (CN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/irac63143.2024.10871344
- Primary Topic
- Remote Sensing and Land Use
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China