MEDUSA: An open-source and webcam based multispectral imaging system

Pineda, Daniel; Pérez, Juan Carlos; Gaviria, Daniel; Ospino-Villalba, Karen Stephanie; Camargo, Omar

doi:10.1016/j.ohx.2022.e00282

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…The detection accuracy of multispectral cameras is generally low due to their limited number of filters. Typically, these cameras can only provide qualitative analysis of samples [21,22]. In spectral detection technology research, researchers often use either single-directional measurement or integrating sphere measurement to obtain reflection spectrum information [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Research on Quality Detection of Jujube (Ziziphus jujuba Mill.) Fruit Based on UAV Multi-Spectrum

Ma,

Wang,

Luo

et al. 2024

Applied Sciences

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To enhance the accuracy of multispectral detection using unmanned aerial vehicles (UAVs), multispectral data of jujube fruit with different soluble solids content (SSC) and moisture content (MC) were obtained under different relative azimuth angles. Prediction models for SSC and MC of jujube fruit were established using partial least squares regression (PLSR) and support vector machines (SVM), respectively. The findings revealed that the MC of jujube fruit had the best prediction effect when the relative azimuth angle was 90°, while the SSC of the jujube fruit had the best prediction effect at an azimuth angle of 180°. Then, the spectral reflectance data corresponding to the eight relative azimuth angles were used as input variables to establish a jujube fruit quality detection model. The results showed that the prediction model for MC and SSC, established using the angle fusion method, had higher detection accuracy compared to the prediction model established at a single angle. This research provides a technical reference for improving the accuracy of outdoor jujube fruit quality detection using spectral technology.

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Section: Introductionmentioning

confidence: 99%

Research on Quality Detection of Jujube (Ziziphus jujuba Mill.) Fruit Based on UAV Multi-Spectrum

Ma,

Wang,

Luo

et al. 2024

Applied Sciences

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“…Colombia has recognized the potential of IoT to improve productivity and sustainability in the agricultural sector. Initiatives have been launched to adopt IoT sensors in fruit orchards, enabling continuous monitoring of environmental conditions and facilitating precision farming practices (Pineda, Pérez et al, 2022;Pineda, Tinoco et al, 2022;Agudelo Cano et al, 2023). These sensors provide farmers with valuable insights and enable early detection of issues such as diseases or pests for prompt and targeted interventions (Ramírez Alberto et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Assessing the impact of emerging technologies on sustainable fruit production: A systematic review of the literature

Pardo-Pardo,

Cuervo-Bejarano

2023

Agron. Colomb.

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Agriculture 4.0 refers to innovations in technological tools used in agriculture to achieve different objectives, such as adapting the supply chain to avoid waste, increasing productivity and collecting mass data through ICT (Information and Communication Technologies) to meet the growing food demand of the population. The objective of this study is to conduct a systematic literature review to evaluate the impact of emerging technologies on sustainable fruit production. Initially, a bibliographic search was conducted on the technologies currently implemented in agriculture; the Bibliometrix library of the R Studio software was used, and then an analysis of relevant scientific publications published in the last ten years was carried out through the VOSviewer® software, which allowed the construction and visualization of bibliometric networks. The results show Europe and China as the leading regions in technological development, while developing countries face economic and research limitations; in Colombia, the use of Agriculture 4.0 is focused on the implementation of satellite images for monitoring agro-climatic conditions. In summary, Agriculture 4.0 aims to achieve economic, social, and environmental sustainability in the agri-food sector through data-generating technologies to improve production, reduce costs, and ensure food safety and quality. However, there is a technology gap between developed and developing countries that affects the adoption of these innovations. More support is therefore needed from governments, academia, and the private sector to drive innovation, training, and adoption of these technologies, which can contribute to the economic, social, and environmental development of the country.

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An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

Mei,

2023

Computers and Electronics in Agriculture

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MEDUSA: An open-source and webcam based multispectral imaging system

Cited by 3 publications

References 18 publications

Research on Quality Detection of Jujube (Ziziphus jujuba Mill.) Fruit Based on UAV Multi-Spectrum

Research on Quality Detection of Jujube (Ziziphus jujuba Mill.) Fruit Based on UAV Multi-Spectrum

Assessing the impact of emerging technologies on sustainable fruit production: A systematic review of the literature

An overview on optical non-destructive detection of bruises in fruit: Technology, method, application, challenge and trend

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