- Title
- Crop monitoring by multimodal remote sensing : a review
- Creator
- Karmakar, Priyabrata; Teng, Shyh; Murshed, Manzur; Pang, Shaoning; Li, Yanyu; Lin, Hao
- Date
- 2024
- Type
- Text; Journal article; Review
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/199922
- Identifier
- vital:19282
- Identifier
-
https://doi.org/10.1016/j.rsase.2023.101093
- Identifier
- ISSN:2352-9385 (ISSN)
- Abstract
- Effective approaches to achieve food safety and security can prevent catastrophic situations. Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily achieved by capturing data from various remote sensing (RS) devices followed by processing them. Most RS devices are useful in monitoring crops and analysing different stages of plant growth successfully. However, individual devices have some limitations. To overcome this, multimodal remote sensing (MRS) methods have been gradually gaining popularity. In the multimodal approach, data from more than one modality are used together to obtain a better outcome. This is because, different modalities of data when used together can complement each other to achieve the same objective by combining their strengths and reducing their limitations, simultaneously. MRS methods have been found to be particularly useful for crop monitoring as they allow for the integration of data from multiple sources, resulting in a more comprehensive understanding of plant growth and development. By using MRS methods, it is possible to obtain a more accurate and detailed analysis of crop conditions, leading to improved decision-making and ultimately, better crop yields. In this paper, we will explore how MRS methods have been successfully utilised in crop monitoring and how the data obtained from these methods can provide valuable insights into the health and development of plants. © 2023 The Authors
- Publisher
- Elsevier B.V.
- Relation
- Remote Sensing Applications: Society and Environment Vol. 33, no. (2024), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- http://creativecommons.org/licenses/by/4.0/
- Rights
- Copyright © 2023 The Authors
- Rights
- Open Access
- Subject
- 3709 Physical geography and environmental geoscience; 4406 Human geography; Climate change effects on the crop; Crop monitoring; Food security; Multimodal remote sensing; Yield estimation
- Full Text
- Reviewed
- Funder
- This work was supported by the Australian Government Traceability Grants Program Round 2
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