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DOI | 10.1109/JSTARS.2024.3377104 |
Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application | |
Barjaktarovic, Marko; Santoni, Massimo; Bruzzone, Lorenzo | |
发表日期 | 2024 |
ISSN | 1939-1404 |
EISSN | 2151-1535 |
起始页码 | 17 |
卷号 | 17 |
英文摘要 | With the rapid increase of the world population, climate changes, and the slow expansion of cultivated areas, only precision agriculture (PA) can provide enough food or resources. PA requires flexible instruments for measuring the spectral signatures of the crops to understand their conditions. Unfortunately, the high initial costs of multispectral (MS) cameras reduce the implementation of PA in small farms, which constitute a large portion of arable land in Europe and contribute with social bonds, local know-how, and cultural legacy. With the objective to speed up the use of MS imaging, in this article, we present a novel low-cost imaging device consisting of an MS camera with nine bands and a thermal imager, whose price is several times lower than commercially available ones. This article describes the design and the calibration of the imaging device based on the off-the-shelf components: Raspberry Pi, dedicated quad camera kit, thermal core, and multiband optical filters. The spectral reconstruction accuracy has a high average R-2 score of 0.986. Finally, images from multiple sensors are aligned using phase-only correlation and dense optical flow, providing a method that can be implemented on all platforms. The presented solution is open source, permitting one to modify and expand the capabilities of the described device and adapt to specific needs. Moreover, the device is flexible as the thermal camera can be removed to reduce the total system cost if its usage is not required. Even if its primary application is PA, the proposed solution can be used for other applications. |
英文关键词 | Climate change; Image registration; Multispectral imaging; Passband; Precision agriculture; Thermal analysis; Cameras; Autonomous aerial vehicles; Food security; Crop yield; Cultural aspects; Calibration; Farming; Remote sensing; Optical sensors; Optical flow; Meteorology; Image sensors; Social factors; Multipassband optical filters; multispectral (MS) camera; multispectral image registration; precision agriculture (PA); thermal camera; unmanned aerial vehicle (UAV) |
语种 | 英语 |
WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:001193977200003 |
来源期刊 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/302988 |
作者单位 | University of Belgrade; University of Trento |
推荐引用方式 GB/T 7714 | Barjaktarovic, Marko,Santoni, Massimo,Bruzzone, Lorenzo. Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application[J],2024,17. |
APA | Barjaktarovic, Marko,Santoni, Massimo,&Bruzzone, Lorenzo.(2024).Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,17. |
MLA | Barjaktarovic, Marko,et al."Design and Verification of a Low-Cost Multispectral Camera for Precision Agriculture Application".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 17(2024). |
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