Abstract
Carrying out the quality traceability of agricultural products can help government departments to monitor the safety of edible agricultural products in real time to enhance the comprehensive ability of national food safety. The purpose of this paper is to study the quality and safety monitoring system of agricultural products based on blockchain technology. The origin, working principle and application scenarios of blockchain technology are outlined. Innovatively proposed the application of blockchain technology to construct a consortium chain for traceability of agricultural products. After analyzing the respective application scenarios of public chain, alliance chain and private chain, Hyperledger Fabric is selected as the blockchain solution of this system. The system is divided into four modules: enterprise production system, platform management system, supervision system and verification portal. This system has a complete upper-layer application system, which is convenient for enterprises, regulatory authorities and consumers to use. It has more advantages than other blockchain applications in terms of user operability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bhutta M, Ahmad M. Secure identification, traceability and real-time tracking of agricultural food supply during transportation using Internet of Things. IEEE Access 9, 65660–65675 (2021)
Barbosa, B., Ferraz, G., Gonalves, L.M., et al.: RGB vegetation indices applied to grass monitoring: a qualitative analysis. Agron. Res. 17(2), 349–357 (2019)
Reba, M.L., Aryal, N., Teague, T.G., et al.: Initial findings from agricultural water quality monitoring at the edge-of-field in Arkansas. J. Soil Water Conserv. 75(3), 291–303 (2020)
Chiarelotto, M., Damaceno, F.M., Lorin, H., et al.: Reducing the composting time of broiler agro-industrial wastes: the effect of process monitoring parameters and agronomic quality. Waste Manag. 96(AUG), 25–35 (2019)
Akhter, F., Siddiquei, H.R., Alahi, M., et al.: An IoT-enabled portable water quality monitoring system with MWCNT/PDMS multifunctional sensor for agricultural applications. IEEE Internet of Things J. 9, 14307–14316 (2021)
de Paul Obade, V.: Integrating management information with soil quality dynamics to monitor agricultural productivity. Sci. Total Environ. 651(PT.2), 2036–2043 (2018)
Inken, K., Caroline, C., Bas, V.W., et al.: Defining a reference system for biological indicators of agricultural soil quality in Wallonia, Belgium. Ecol. Indic. 95(DEC), 568–578 (2018)
Al-Sari, M.I., Sarhan, M.A.A., Al-Khatib, I.A.: Assessment of compost quality and usage for agricultural use: a case study of Hebron, Palestine. Environ. Monit. Assess. 190(4), 1–11 (2018)
Beck, H.E., Pan, M., Miralles, D.G., et al.: Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors. Hydrol. Earth Syst. Sci. 25(1), 17–40 (2021)
Mesquita, E.F., Cavalcante, L.F., Bezerra, F., et al.: Groundwater quality monitoring for agriculture irrigated in Catol Do Rocha, Paraba State Brazil. Afr. J. Agric. Res. 13(44), 2471–2476 (2018)
Marantis, A.: The ATLAS fast TracKer—architecture, status and high-level data quality monitoring framework. Universe 5(1), 32 (2019)
Vallejo, V.E., Afanador, L.N., Hernández, M.A., et al.: Effect of the implementation of different agricultural systems on the soil quality from the municipality of Cachipay, Cundinamarca, Colombia. Bioagro 30(1), 27–38 (2018)
Bendjama, H., Bouhouche, S., Aouabdi, S., et al.: Monitoring of casting quality using principal component analysis and self-organizing map. Int. J. Adv. Manuf. Technol. 120(5–6), 3599–3607 (2022)
Pilely, K., et al.: Monitoring process-related impurities in biologics–host cell protein analysis. Anal. Bioanal. Chem. 414(2), 747–758 (2021)
Roussev, M., Lehotay, S.J., Pollaehne, J.: Cryogenic sample processing with liquid nitrogen for effective and efficient monitoring of pesticide residues in foods and feeds. J. Agric. Food Chem. 67(33), 9203–9209 (2019)
Ghaffar, E.A., El-Neshawy, A., Siliha, H., et al.: Quality and safety assessment of Egyptian MARKETED flavoured UHT milk: a survey study for sanitary monitoring. Zagazig J. Agric. Res. 46(2), 455–465 (2019)
Gu, W., Huang, S., Lei, S., et al.: Quantity and quality variations of dissolved organic matter (DOM) in column leaching process from agricultural soil: Hydrochemical effects and DOM fractionation. Sci. Total Environ. 691(Nov), 407–416 (2019)
Kasso, M., Bekele, A.: Post-harvest loss and quality deterioration of horticultural crops in Dire Dawa Region, Ethiopia. J. Saudi Soc. Agric. Sci. 17(1), 88–96 (2018)
Acknowledgements
Colleges and universities in Guangdong Province Characteristic innovation topics “Research on the strategy of inclusive financial services for the revitalization of rural industries in Guangdong” (2019GWTSCX086); Colleges and universities in Guangdong Province Key scientific research platforms and projects “Optimization and application of blockchain technology embedded in agricultural product quality and safety traceability system” (2021ZDZX4078).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cai, Z. (2023). Agricultural Product Quality and Safety Monitoring System Based on Blockchain Technology. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_96
Download citation
DOI: https://doi.org/10.1007/978-981-99-1428-9_96
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1427-2
Online ISBN: 978-981-99-1428-9
eBook Packages: EngineeringEngineering (R0)