tutorial

Public Access

Smart Sensing, Communication, and Control in Perishable Food Supply Chain

Authors:

Amitangshu Pal,

Krishna KantAuthors Info & Claims

ACM Transactions on Sensor Networks (TOSN), Volume 16, Issue 1

Article No.: 12, Pages 1 - 41

https://doi.org/10.1145/3360726

Published: 17 January 2020 Publication History

All formats PDF

Abstract

Transportation and distribution (T8D) of fresh food products is a substantial and increasing part of the economic activities throughout the world. Unfortunately, fresh food T8D not only suffers from significant spoilage and waste, but also from dismal efficiency due to tight transit timing constraints between the availability of harvested food until its delivery to the retailer. Fresh food is also easily contaminated, and together with deteriorated fresh food is responsible for much of food-borne illnesses.

The logistics operations are undergoing rapid transformation on multiple fronts, including infusion of information technology in the logistics operations, automation in the physical product handling, standardization of labeling, addressing and packaging, and shared logistics operations under 3rd party logistics (3PL) and related models. In this article, we discuss how these developments can be exploited to turn fresh food logistics into an intelligent cyberphysical system driven by online monitoring and associated operational control to enhance food freshness and safety, reduce food waste, and increase T8D efficiency. Some of the issues discussed in this context are fresh food quality deterioration processes, food quality/contamination sensing technologies, communication technologies for transmitting sensed data through the challenging fresh food media, intelligent management of the T8D pipeline, and various other operational issues. The purpose of this article is to stimulate further research in this important emerging area that lies at the intersection of computing and logistics.

References

[1]

[n.d.]. FreeLinc - NFMI Technology and Products. Retrieved from http://www.freelinc.com/.

[2]

[n.d.]. MRE Shelf Life. Retrieved from https://www.mreinfo.com/mres/mre-shelf-life/.

[3]

[n.d.]. Ripesense. Retrieved from http://www.ripesense.co.nz/.

[4]

[n.d.]. Vitsab. Retrieved from http://vitsab.com.

[5]

Pam Ahlberg (Ed.). 2000. Molecular Circuitry to sell Detex pathogen detection system direct to food industry. Retrieved from https://www.foodonline.com/doc/molecular-circuitry-to-sell-detex-pathogen-de-0001.

[6]

Bill McBeath. 2013. Winning the Freshness Wars. Retrieved from http://www.clresearch.com/research/detail.cfm?guid=58FBEEB9-3048-79ED-99FA-8C8DD079139B.

[7]

2006. MonitorMark. Retrieved from http://www.lamfong.com/monitor mark.pdf.

[8]

2007. In Modelling Microorganisms in Food, Stanley Brul, Suzanne van Gerwen, and Marcel Zwietering (Eds.). Woodhead Publishing.

[9]

Susan McGinley. 2007. Inventing the RediRipe Sticker. Retrieved from https://cals.arizona.edu/pubs/general/resrpt2007/article1.pdf.

[10]

Abigail Horn. 2014. Modeling Supply Chain System Structure to Trace Sources of Food Contamination. Retrieved from http://www.publichealthsystems.org/sites/default/files/PHS3/71273GPmeeting01.pdf.

[11]

TEMPIX company. Retrieved from http://tempix.com/.

[12]

Lu Lixin, Jia Zengqin, and Cai Ying. 2013. Microbial type time-temperature indicator for low-temperature circulation items. Retrieved from https://www.google.com/patents/CN102507576B?cl=en CN Patent 102,507,576.

[13]

OnVu. Retrieved from http://www.onvu.de/.

[14]

Yating Chai, Howard C. Wikle, Zhenyu Wang, Shin Horikawa, Steve Best, Zhongyang Cheng, Dave F. Dyer, and Bryan A. Chin. 2013. Design of a surface-scanning coil detectorfor direct bacteria detection on food surfaces using a magnetoelastic biosensor. 114 (2013), 104504.

[15]

2013. Which Credit Cards Have RFID? Retrieved from https://www.lowcards.com/credit-cards-rfid-13517.

[16]

2014. Food Losses and Waste in the Context of Sustainable Food Systems. A Report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security. Technical Report. HPLE. Retrieved from http://www.fao.org/3/a-i3901e.pdf.

[17]

Fresh-Check. Retrieved from http://www.fresh-check.com/reading.asp.

[18]

Speedpass. Retrieved from https://www.speedpass.com/.

[19]

Junyu Wang, He Wang, Jie He, Lulu Li, Meigen Shen, Xi Tan, Hao Min, and Lirong Zheng. 2015. Wireless sensor network for real-time perishable food supply chain management. Comput. Electron. Agric. 110 (2015), 196--207.

Digital Library

[20]

CSense. Retrieved from http://www.c2sense.com.

[21]

2016. Maximizing Delivered Shelf-life in the End-to-End Fresh Food Supply Chain. Retrieved from https://www.zestlabs.com/wp-content/uploads/2016/03/Pallet-Monitoring-for-the-Fresh-Food-Supply-Chain.pdf.

[22]

2017. Characterization and Management of Food Loss and Waste in North America. Technical Report. Commission for Environmental Cooperation, Montreal, Canada. Retrieved from http://www3.cec.org/islandora/en/item/11772-characterization-and-management-food-loss-and-waste-in-north-america-en.pdf.

[23]

Heatmarker. Retrieved from http://temptimecorp.com/product/heatmarker-vvm-30/.

[24]

Worst Foodborne Illness Outbreaks in Recent U.S. History. Retrieved from https://www.healthline.com/health/worst-foodborne-illness-outbreaks.

[25]

Pros and Cons: The Use of RFID for Inventory Management. Retrieved from https://www.questsolution.com/blog/item/34-pros-and-cons-the-use-of-rfid-for-inventory-management.

[26]

RFID for Asset Tracking and Inventory Management for Warehousing and Retail. Retrieved from http://www.gaorfidassettracking.com/RFID_Asset_Tracking_Applications/RFID_Inventory_Management_Warehousing_Retail.php.

[27]

Ashley May. 2018. Romaine lettuce linked to E. coli scare likely came from California: FDA commissioner. Retrieved from https://www.usatoday.com/story/news/health/2018/11/23/romaine-lettuce-linked-e-coli-likely-california-fda/2092510002/.

[28]

2018. Walmart’s Eden and Verigo’s Pod Quality: Technology to Reduce Fresh Produce Waste in Supply Chains. Retrieved from https://www.supplychain247.com/article/walmarts_eden_and_verigos_pod_quality.

[29]

Abbas Acar, Hidayet Aksu, A. Selcuk Uluagac, and Mauro Conti. 2018. A survey on homomorphic encryption schemes: Theory and implementation. ACM Comput. Surv. 51, 4 (2018).

[30]

Firas Akasheh, Todd Myers, John D. Fraser, Susmita Bose, and Amit Bandyopadhyay. 2004. Development of piezoelectric micromachined ultrasonic transducers. Sens. Act. A: Phys. 111, 2 (2004), 275--287.

[31]

Ian F. Akyildiz et al. 2015. Realizing underwater communication through magnetic induction. IEEE Commun. Mag. 53, 11 (2015), 42--48.

Digital Library

[32]

Ian F. Akyildiz, Dario Pompili, and Tommaso Melodia. 2005. Underwater acoustic sensor networks: Research challenges. Ad Hoc Netw. 3, 3 (2005), 257--279.

[33]

Eva Almenar, Pilar Hernández-Muñoz, José M. Lagarón, Ramón Catalá, and Rafael Gavara. 2006. Controlled atmosphere storage of wild strawberry fruit (Fragaria vesca L.). J. Agric. Food Chem. 54, 1 (2006), 86--91.

[34]

Skelte G. Anema, Edwin K. Lowe, and Yuming Li. 2004. Effect of pH on the viscosity of heated reconstituted skim milk. Int. Dairy J. 14, 6 (2004), 541--548.

[35]

Anthoula A. Argyri, Roger M. Jarvis, David Wedge, Yun Xu, Efstathios Z. Panagou, Royston Goodacre, and George-John E. Nychas. 2013. A comparison of Raman and FT-IR spectroscopy for the prediction of meat spoilage. Food Cont. 29, 2 (2013), 461--470.

[36]

Malek Athamnah, Anis Alazzawe, and Krishna Kant. 2018. Collaborative similarity search across multi-party repositories. In Proceedings of the International Conference of Distributed Computing and Networking (ICDCN’18). 33:1--33:9.

Digital Library

[37]

J. Fernando Ayala-Zavala, Shiow Y. Wang, Chien Y. Wang, and Gustavo A. González-Aguilar. 2007. High oxygen treatment increases antioxidant capacity and postharvest life of strawberry fruit. Food Technol. and Biotech. 45, 2 (2007), 166--173.

[38]

Ricardo Badia-Melis, Luis Ruiz-Garcia, Javier Garcia-Hierro, and Jose I. Robla Villalba. 2015. Refrigerated fruit storage monitoring combining two different wireless sensing technologies: RFID and WSN. Sensors 15, 3 (2015), 4781--4795.

[39]

Antonio J. Barbero et al. 1994. Induced EMF in a solenoid: A simple quantitative verification of Faraday’s law. Phys. Educ. 29, 2 (1994).

[40]

R. H. Baughman, L. J. Hall, M. Kozlov, D. E. Smith, and T. Prusik. 2013. Crystallized diacetylenic indicator compounds and methods of preparing the compounds. Retrieved from http://www.google.com.pg/patents/US20130302900 US Patent App. 13/945,397.

[41]

Dhruba Kumar Bhattacharyya and Jugal Kumar Kalita. 2013. Network Anomaly Detection: A Machine Learning Perspective. Chapman 8 Hall/CRC.

[42]

Dan Boneh, Craig Gentry, Shai Halevi, Frank Wang, and David J. Wu. 2013. Private database queries using somewhat homomorphic encryption. In Applied Cryptography and Network Security, Michael Jacobson, Michael Locasto, Payman Mohassel, and Reihaneh Safavi-Naini (Eds.). Springer-Verlag Berlin Heidelberg, 102--118.

[43]

George Edward Pelham Box and Gwilym Jenkins. 1990. Time Series Analysis, Forecasting and Control. Holden-Day, Incorporated.

[44]

George Edward Pelham Box and Gwilym M. Jenkins. 1994. Time Series Analysis: Forecasting and Control (3rd ed.). Prentice Hall PTR, Upper Saddle River, NJ.

[45]

John Brockgreitens and Abdennour Abbas. 2016. Responsive food packaging: Recent progress and technological prospects. Compreh. Rev. Food Sci. Food Saf. 15, 1 (2016), 3--15.

[46]

M. Cardullo and W. Parks. 1973. Transponder apparatus and system. Retrieved from https://www.google.com/patents/US3713148 US Patent 3,713,148.

[47]

CDC. 2015. Foodborne Outbreak Online Database (FOOD Tool). Retrieved from http://wwwn.cdc.gov/foodborneoutbreaks/.

[48]

CDC. 2016. Estimates of Foodborne Illness in the United States. Retrieved from https://www.cdc.gov/foodborneburden/estimates-overview.html.

[49]

Varun Chandola, Arindam Banerjee, and Vipin Kumar. 2009. Anomaly detection: A survey. ACM Comput. Surv. 41, 3 (2009), 15:1--15:58.

Digital Library

[50]

Adriane Chapman, H. V. Jagadish, and Prakash Ramanan. 2008. Efficient provenance storage. In Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD’08). 993--1006.

Digital Library

[51]

Hon-Zon T. Chen and Andrew S.-L. Lou. 2004. A study of RF power attenuation in bio-tissues. Journal of Medical and Biological Engineering 24, 3 (2004), 141--146.

[52]

S. L. Chen and Feliks Gutmanis. 1968. Auto-oxidation of extractable color pigments in chili pepper with special reference to ethoxyquin treatment. J. Food Sci. 33, 3 (1968), 274--280.

[53]

Tao Cheng, Youwei Wu, Xiaoqin Shen, Wenyong Lai, and Wei Huang. 2018. Inkjet printed large-area flexible circuits: A simple methodology for optimizing the printing quality. J. Semicon. 39, 1 (2018), 015001.

[54]

Hyung Woo Choi, Tianlei Zhou, Madhusudan Singh, and Ghassan E. Jabbour. 2015. Recent developments and directions in printed nanomaterials. Nanoscale 7 (2015), 3338--3355. Issue 8.

[55]

Hae-Na Chun, Boram Kim, and Han-Seung Shin. 2014. Evaluation of a freshness indicator for quality of fish products during storage. Food Sci. Biotech. 23, 5 (2014), 1719--1725.

[56]

E. C. Correa, T. Jiménez-Ariza, V. Díaz-Barcos, P. Barreiro, B. Diezma, R. Oteros, C. Echeverri, F. J. Arranz, and M. Ruiz-Altisent. 2014. Advanced characterisation of a coffee fermenting tank by multi-distributed wireless sensors: Spatial interpolation and phase space graphs. Food Bioproc. Technol. 7, 11 (2014), 3166--3174.

[57]

L. M. da Costa Silva, A. M. Salgado, K. S. Pereira, and V. P. S. dos Santos. 2013. Biosensors for Contaminants Monitoring in Food and Environment for Human and Environmental Health. INTECH Open Access Publisher. Retrieved from https://books.google.com/books?id=qTaKoAEACAAJ.

[58]

Ramos Cíntia Lacerda Dias, Francesca Silva and Rosane Freitas Schwan. 2013. Characterization of spoilage bacteria in pork sausage by PCR-DGGE analysis. Food Sci. Technol. 33, 2 (2013), 468--474.

[59]

M. Cecilia do Nascimento Nunes, Mike Nicometo, Jean Pierre Emond, Ricardo Badia Melis, and Ismail Uysal. 2014. Improvement in fresh fruit and vegetable logistics quality: Berry logistics field studies. Philos. Trans. Roy. Soc. 372, 2022 (2014).

[60]

I. Dove. 2014. Analysis of Radio Propagation Inside the Human Body for in-Body Localization Purposes. Master Thesis in Electrical Engineering, University of Twente. Retrieved from https://essay.utwente.nl/66071/1/Dove_MA_TE.pdf.

[61]

Jeff Farrar and Jack Guzewich. 2009. Identification of the source of contamination. In The Produce Contamination Problem—Causes and Solutions, Gerald M. Sapers, Ethan B. Solomon, and Karl R. Matthews (Eds.). Elsevier Inc., 49--77, Chapter 3.

[62]

Dieter Fischer, William Craig, and B. Hunt Ashby. 1990. Reducing transportation damage to grapes and strawberries. J. Food Distrib. Res. (1990), 193--202. Retrieved from https://ageconsearch.umn.edu/record/26972/?ln=en.

[63]

A. M. Fitzgerald. 2018. The Internet of disposable things will be made of paper and plastic sensors. IEEE Spect. (Nov. 2018).

[64]

R. E. Floyd. 2015. RFID in animal-tracking applications. IEEE Potent. 34, 5 (2015), 32--33.

[65]

Caroline Fontaine and Fabien Galand. 2007. A survey of homomorphic encryption for nonspecialists. EURASIP J. Inf. Secur. 2007 (2007), 15:1--15:15.

[66]

Guillermo Fuertes, Ismael Soto, Raúl Carrasco, Manuel Vargas, Jorge Sabattin, and Carolina Lagos. 2016. Intelligent packaging systems: Sensors and nanosensors to monitor food quality and safety. J. Sensors 2016 (2016), 4046061:1--4046061:8.

[67]

A. Tuci, A. Zinnai, G. Andrich, R. Fiorentini, and G. Sommovigo. 1991. A tentative model to describe the respiration of stored apples. Int. J. Environ. Agric. Res. 116, 3 (1991), 478--481.

[68]

Y. Galagan and W.-F. Su. 2008. Fadable ink for time--temperature control of food freshness: Novel new time--temperature indicator. Food Res. Int. 41, 6 (2008), 653--657.

[69]

Guilherme Galante and Luis Carlos E. de Bona. 2012. A survey on cloud computing elasticity. In IEEE/ACM Fifth International Conference on Utility and Cloud Computing (UCC’12). 263--270.

Digital Library

[70]

L. Galluccio, T. Melodia, S. Palazzo, and G. E. Santagati. 2012. Challenges and implications of using ultrasonic communications in intra-body area networks. In Proceedings of the Wireless On-demand Network Systems and Services Conference (WONS’12).

[71]

Craig Gentry. 2009. A Fully Homomorphic Encryption Scheme. Ph.D. Dissertation. Stanford, CA.

[72]

Sumit Goyal. 2013. Artificial neural networks (ANNs) in food science—A review. Int. J. Sci. World 1, 2 (2013), 19--28.

[73]

Sumit Goyal and Gyanendra Kumar Goyal. 2012. Evaluation of shelf life of processed cheese by implementing neural computing models. Int. J. Interact. Multim. Artif. Intell. 1, 5 (2012), 61--64.

[74]

Rajpreet K. Gulati, Amitangshu Pal, and Krishna Kant. 2019. Experimental evaluation of a near-field magnetic induction based communication system. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC’19).

Digital Library

[75]

Dana Gunders. 2012. Wasted: How America Is Losing Up to 40 Percent of Its Food from Farm to Fork to Landfill. Retrieved from https://www.nrdc.org/sites/default/files/wasted-food-IP.pdf.

[76]

Y. Guo, H. Li, and Z. Li. 2011. The application of RFID-SIM in electronic toll collection system. In Proceedings of the International Conference on Computational and Information Sciences. 913--9--16.

[77]

Jenny Gustavsson, Christel Cederberg, Ulf Sonesson, Robert van Otterdijk, and Alexandre Meybeck. 2011. Global Food Losses and Food Waste: Extent, Causes and Prevention: Study Conducted for the International Congress “Save Food!” at Interpack 2011 Düsseldorf, Germany. Food and Agriculture Organization of the United Nations. Retrieved from https://books.google.com/books?id=urKknQAACAAJ.

[78]

M. Hermann et al. 2016. Design principles for Industrie 4.0 scenarios. In Proceedings of the Hawaii International Conference on System Sciences (HICSS’16). 3928--3937.

Digital Library

[79]

Maarten L. A. T. M. Hertog, Ismail Uysal, Ultan McCarthy, Bert M. Verlinden, and Bart M. Nicolaï. 2014. Shelf life modelling for first-expired-first-out warehouse management. Philos. Trans. Series A, Math., Phys. Eng. Sci. 372, 2017 (2014).

[80]

Tad Hogg and Robert A. Freitas Jr. 2012. Acoustic communication for medical nanorobots. Nano Commun. Netw. 3, 2 (2012), 83--102.

[81]

Abigail L. Horn and Hanno Friedrich. 2019. Locating the Source of Large-scale Diffusion of Foodborne Contamination. J. R. Soc. Interface. 16, 151 (2019).

[82]

Gui-Wen Huang, Qing-Ping Feng, Hong-Mei Xiao, Na Li, and Shao-Yun Fu. 2016. Rapid laser printing of paper-based multilayer circuits. ACS Nano 10, 9 (2016), 8895--8903.

[83]

Yiqun Huang, Lars J. Kangas, and Barbara A. Rasco. 2007. Applications of artificial neural networks (ANNs) in food science. Crit. Rev. Food Sci. Nutr. 47, 2 (2007), 113--126.

[84]

Christoph Jechlitschek. 2006. A Survey Paper on Radio Frequency IDentification (RFID) Trends. Retrieved from https://www.cse.wustl.edu/ jain/cse574-06/ftp/rfid/index.html.

[85]

Reiner Jedermann et al. 2014. Communication techniques and challenges for wireless food quality monitoring. Philos. Trans. Roy. Soc. 372, 2017 (2014), 20130304.

[86]

R. Jedermann, M. Nicometo, I. Uysal, and W. Lang. 2014. Reducing food losses by intelligent food logistics. Philos. Trans. Roy. Soc. London Ser. A 372 (May 2014).

[87]

Reiner Jedermann, Ulrike Praeger, Martin Geyer, and Walter Lang. 2014. Remote quality monitoring in the banana chain. Philos. Trans. Roy. Soc. London A: Math., Phys. Eng. Sci. 372, 2017 (2014).

[88]

Haotian Chi, Alireza Jolfaei, Krishna Kant, and Amitangshu Pal. 2020. SecureGOOSE: A Lightweight Integrity Protection for Transmission and Distribution Substations. In preparation.

[89]

Ian Jolliffe. 2002. Principal Component Analysis. Springer Verlag, New York.

[90]

Krishna Kant and Amitangshu Pal. 2017. Internet of perishable logistics. IEEE Int. Comput. 21, 1 (2017), 22--31.

Digital Library

[91]

Itir Z. Karaesmen, Alan Scheller-Wolf, and Borga Deniz. 2011. Managing perishable and aging inventories: Review and future research directions. In Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook. Vol. 151. Springer, 393--436.

[92]

A. A. Khan, A. I. E. Yakzan, and M. Ali. 2011. Radio frequency identification (RFID) based toll collection system. In Proceedings of the 3rd International Conference on Computational Intelligence, Communication Systems and Networks. 103--107.

[93]

Butrus T. Khuri-Yakub and Omer Oralkan. 2011. Capacitive micromachined ultrasonic transducers for medical imaging and therapy. J. Micromech. Microeng. 21, 5 (2011), 054004--054014.

[94]

Jeong Un Kim, Kashif Ghafoor, Jungeun Ahn, Seungil Shin, Sung Hyun Lee, Hafiz Muhammad Shahbaz, Hae-Hun Shin, Sangpil Kim, and Jiyong Park. 2016. Kinetic modeling and characterization of a diffusion-based time-temperature indicator (TTI) for monitoring microbial quality of non-pasteurized angelica juice. LWT—Food Sci. Technol. 67 (2016), 143--150.

[95]

K. Koutsoumanis, P. S. Taoukis, and G. J. E. Nychas. 2005. Development of a safety monitoring and assurance system for chilled food products. Int. J. Food Microb. 100, 1 (2005), 253--260.

[96]

Bambang Kuswandi, Revi Oktaviana, Aminah Abdullah, and Lee Yook Heng. 2014. A novel on-package sticker sensor based on methyl red for real-time monitoring of broiler chicken cut freshness. Pack. Technol. Sci. 27, 1 (2014), 69--81.

[97]

W. Lang, R. Jedermann, D. Mrugala, A. Jabbari, B. Krieg-Brückner, and K. Schill. 2011. The intelligent container—Cognitive sensor network for transport management. IEEE Sens. J. 11, 3 (2011), 688--698.

[98]

S. J. Lee and S. W. Jung. 2014. Time-temperature indicator, method for manufacturing the time-temperature indicator, quality guarantee system using the time-temperature indicator, and quality guarantee method using the quality guarantee system. Retrieved from https://www.google.com/patents/US20140127738 US Patent App. 14/127,311.

[99]

R. Leuschner et al. 2014. Third-party logistics: A meta-analytic review and investigation of its impact on performance. J. Supp. Chain Manag. 50, 1 (2014), 21--43.

[100]

Xiao Lin, Rudy R. Negenborn, and Gabriel Lodewijks. 2015. Survey on operational perishables quality control and logistics. In Computational Logistics, Francesco Corman, Stefan Voß, and Rudy R. Negenborn (Eds.). Springer International Publishing, Switzerland, 398--421.

[101]

Michael Lütjen, Patrick Dittmer, and Marius Veigt. 2013. Quality driven distribution of intelligent containers in cold chain logistics networks. Prod. Eng. 7, 2 (2013), 291--297.

[102]

Andrés F. López Camelo and Perla A. Gómez. 2004. Comparison of color indexes for tomato ripening. Hortic. Brasileira 22 (09 2004), 534--537. Retrieved from http://www.scielo.br/scielo.php?script=sci_arttext&pid==S0102-05362004000300006&nrm==iso.

[103]

Antonio López-López, Víctor Manuel Beato, Antonio Higinio Sánchez, Pedro García-García, and Alfredo Montaño. 2014. Effects of selected amino acids and water-soluble vitamins on acrylamide formation in a ripe olive model system. J. Food Eng. 120, Supplement C (2014), 9--16.

[104]

Rafaela Maria Temóteo Lima, Ricardo Elesbao Alves, Francisca Ligia de Castro Machado, and Raimundo Wilane Figueiredo. 2014. Influence of waxing coupled to 1-methylcyclopropene on compositional changes in early harvested “Gold” pineapple for export. Acta Scient. Agron. 36, 2 (2014), 219--225.

[105]

J. M. Manski, I. M. J. Kretzers, S. van Brenk, A. J. van der Goot, and R. M. Boom. 2007. Influence of dispersed particles on small and large deformation properties of concentrated caseinate composites. Food Hydrocoll 21, 1 (2007), 73--84.

[106]

Mehrnoush Masihpour et al. 2013. Multihop relay techniques for communication range extension in near-field magnetic induction communication systems. J. Netw. 8, 5 (2013), 999--1011.

[107]

Samaneh Matindoust, Majid Baghaei-Nejad, Mohammad Hadi Shahrokh Abadi, Zhuo Zou, and Li-Rong Zheng. 2016. Food quality and safety monitoring using gas sensor array in intelligent packaging. Sens. Rev. 36, 2 (2016), 169--183.

[108]

Artur Mazurek and Urszula Pankiewicz. 2012. Changes of dehydroascorbic acid content in relation to total content of vitamin C in selected fruits and vegetables. Acta Scient.iarum Polon. Hort. Cult. 11, 6 (2012), 169--177.

[109]

R. C. McKellar and X. Lu. 2003. Modeling Microbial Responses in Food. CRC Press.

[110]

Tommaso Melodia, Hovannes Kulhandjian, Li-Chung Kuo, and Emrecan Demirors. 2013. Advances in Underwater Acoustic Networking. John Wiley 8 Sons, Inc., 804--852.

[111]

F. Mendoza and J. M. Aguilera. 2004. Application of image analysis for classification of ripening bananas. J. Food Sc. 69, 9 (2004), E471--E477.

[112]

Ulrike Meyer and Susanne Wetzel. 2004. A man-in-the-middle attack on UMTS. In Proceedings of the ACM International Conference on Web Information Systems Engineering (WISE’04). 90--97.

Digital Library

[113]

B. Montreuil. 2011. Towards a physical Internet: Meeting the global logistics sustainability grand challenge. Logist. Res. 3 (2011), 71--87.

[114]

Mohamed K. Morsy, Kinga Zor, Natalie Kostesha, Tommy Sonne Alstrøm, Arto Heiskanen, Hassan El-Tanahi, Ashraf Sharoba, Dmitri Papkovsky, Jan Larsen, Hassan Khalaf, Mogens Havsteen Jakobsen, and Jenny Emnéus. 2016. Development and validation of a colorimetric sensor array for fish spoilage monitoring. Food Cont. 60 (2016), 346--352.

[115]

Karen Munhuweyi. 2012. Postharvest Losses and Changes in Quality of Vegetables from Retail to Consumer: A Case Study of Tomato, Cabbiage and Carrot. Master’s thesis. Stellenbosch University.

[116]

Fatima Mustafa and Silvana Andreescu. 2018. Chemical and biological sensors for food-quality monitoring and smart packaging. Foods 7, 10 (2018), 168.

[117]

G. Nath Nayak and S. Ghosh Samaddar. 2010. Different flavours of man-in-the-middle attack, consequences and feasible solutions. In Proceedings of the IEEE International Conference on Computer Science and Information Technology (ICCSIT’10). 491--495.

[118]

G. Nieto, S. Banon, and M. D. Garrido. 2012. Administration of distillate thyme leaves into the diet of Segurena ewes: Effect on lamb meat quality. Animal 6, 12 (2012), 2048--2056.

[119]

Amitangshu Pal et al. 2016. F²π: A physical Internet architecture for fresh food distribution networks. In Proceedings of the International Primary Immunodeficiencies Congress (IPIC’16).

[120]

Amitangshu Pal, Rajpreet Gulati, and Krishna Kant. 2019. Towards building low power magnetic communication protocols for challenging environments. In Proceedings of the International Conference on Computer Communications and Networks (ICCCN’19).

[121]

Amitangshu Pal and Krishna Kant. 2015. Collaborative heterogeneous sensing: An application to contamination detection in water distribution networks. In Proceedings of the International Conference on Computer Communications and Networks (ICCCN’15). 1--8.

[122]

Amitangshu Pal and Krishna Kant. 2016. Networking in real world: Unified modeling of information and perishable commodity distribution network. In Proceedings of the International Primary Immunodeficiencies Congress (IPIC’16).

[123]

Amitangshu Pal and Krishna Kant. 2017. A food transportation framework for an efficient and worker-friendly fresh food physical Internet. Logistics 1, 2 (2017).

[124]

Amitangshu Pal and Krishna Kant. 2017. Magnetic induction based sensing and localization for fresh food logistics. In Proceedings of the IEEE Conference on Local Computer Networks (LCN’17). 383--391.

[125]

Amitangshu Pal and Krishna Kant. 2018. IoT-based sensing and communications infrastructure for the fresh food supply chain. IEEE Comput. 51, 2 (2018), 76--80.

[126]

Amitangshu Pal and Krishna Kant. 2019. Internet of perishable logistics: Building smart fresh food supply chain networks. IEEE Access 7 (2019), 17675--17695.

[127]

Amitangshu Pal and Krishna Kant. 2019. NFMI: Connectivity for short-range IoT applications. IEEE Comput. 52, 2 (2019), 63--67.

[128]

Amitangshu Pal and K. Kant. 2019. Provenance and traceability in IoT-integrated food logistics: How blockchain can help? IEEE Comput. 52, 12 (2019), 94--98.

[129]

J. Parfitt, M. Barthel, and S. Macnaughton. 2010. Food waste within food supply chains: Quantification and potential for change to 2050. Philos. Trans. Roy. Soc. London. Ser. B, Biol. Sci. 365, 1554 (2010), 3065--81.

[130]

Shashikant Patil. 2018. RFID for Animal Identification in Rural India and Asia Pacific. Retrieved from http://www.ieee-rfid.org/2017/03/28/rfid-for-animal-identification-in-rural-india-and-asia-pacific/.

[131]

Chaiwat Phollookin, Sumrit Wacharasindhu, Anawat Ajavakom, Gamolwan Tumcharern, Sasikarn Ampornpun, Thichamporn Eaidkong, and Mongkol Sukwattanasinitt. 2010. Tuning down of color transition temperature of thermochromically reversible bisdiynamide polydiacetylenes. Macromolecules 43, 18 (2010), 7540--7548.

[132]

Allen Pierson and Edward W. McLaughlin. 1982. Produce Losses in the U.S. Food Distribution System. Retrieved from http://ageconsearch.umn.edu/bitstream/201306/2/agecon-msu-422.pdf.

[133]

Marilia Oetterer, Claudio R. Gallo, Lucimeire Pilon, and Marta H. F. Spoto. 2006. Shelf life of minimally processed carrot and green pepper. Food Sci. Technol. 26, 1 (2006), 150--158.

[134]

Mohammad Rahman, Al-Ruzeiki M. H, Nejib Guizani, Mohammed Salom Al-Ruzaiqi, Abeer Hamed Al-Aamri, and Sumaiya Zainab. 2013. Stability of vitamin C in fresh and freeze-dried capsicum stored at different temperature. J. Food Sci. Technol. 52 (2013).

[135]

Jared K. Raynes, John A. Carver, Sally L. Gras, and Juliet A. Gerrard. 2014. Protein nanostructures in food—Should we be worried? Trends Food Sc. 8 Technol. 37, 1 (2014), 42--50.

[136]

J. M. Reid. 1959. Medical ultrasonics: Diagnostic applications of ultrasound. Proc. IRE 47, 11 (1959), 1963--1967.

[137]

Susanta K. Roy. [n.d.]. On-Farm Storage Technology Can Save Energy and raise Farm Income. Retrieved from http://ucce.ucdavis.edu/files/datastore/234-2143.pdf.

[138]

S. Kumar, S. Senthilkumar, R. M. Vijayakumar. 2015. Advances in precooling techniques and their implications in horticulture sector: A review. Int. J. Envir. 8 Agric. Res. 1, 1 (2015).

[139]

Mohammad Hossien Saeidirad, Abbas Rohani, and Saeed Zarifneshat. 2013. Predictions of viscoelastic behavior of pomegranate using artificial neural network and Maxwell model. Comput. Electron. Agric. 98 (2013), 1--7.

Digital Library

[140]

G. Enrico Santagati and Tommaso Melodia. 2014. Opto-ultrasonic communications for wireless intra-body nanonetworks. Nano Commun. Netw. 5, 1 (2014), 3--14.

[141]

Giuseppe Enrico Santagati and Tommaso Melodia. 2014. Sonar inside your body: Prototyping ultrasonic intra-body sensor networks. In Proceedings of the IEEE Conference on Computer Communications (INFOCOM’14). 2679--2687.

[142]

Giuseppe Enrico Santagati and Tommaso Melodia. 2017. Experimental evaluation of impulsive ultrasonic intra-body communications for implantable biomedical devices. IEEE Trans. Mob. Comput. 16, 2 (2017), 367--380.

Digital Library

[143]

G. E. Santagati, T. Melodia, L. Galluccio, and S. Palazzo. 2013. Distributed MAC and rate adaptation for ultrasonically networked implantable sensors. In Proceedings of the IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON’13).

[144]

Giuseppe Enrico Santagati, Tommaso Melodia, Laura Galluccio, and Sergio Palazzo. 2013. Ultrasonic networking for E-health applications. IEEE Wireless Commun. 20, 4 (2013).

[145]

Kim E. Sapsford, Chris R. Taitt, Nicole Loo, and Frances S. Ligler. 2005. Biosensor detection of botulinum toxoid a and staphylococcal enterotoxin B in food. Appl. Environ. Microbiol. 71, 9 (2005), 5590--5592.

[146]

sensor1 2010. FoodScan. Retrieved from http://www.israel21c.org/keeping-food-safe-from-farm-to-fork/.

[147]

Youngjae Shin, Rui Hai Liu, Jacqueline F. Nock, Darryl Holliday, and Christopher B. Watkins. 2007. Temperature and relative humidity effects on quality, total ascorbic acid, phenolics and flavonoid concentrations, and antioxidant activity of strawberry. Postharv. Biol. Technol. 45, 3 (2007), 349--357.

[148]

Vivek Shukla, G. Kandeepan, and M. R. Vishnuraj. 2015. Development of on package indicator sensor for real-time monitoring of meat quality. Vet. World 8, 3 (2015), 393--397.

[149]

K. K. Shung and M. Zippuro. 1996. Ultrasonic transducers and arrays. IEEE Eng. Med. Biol. Mag. 15, 6 (1996), 20--30.

[150]

Amrita Singh, Darlin Lantigua, Akhil Meka, Shainlee Taing, Manjot Pandher, and Gulden Camci-Unal. 2018. Paper based sensors: Emerging themes and applications. Sensors 18, 9 (2018), 2838.

[151]

Lindsay I. Smith. 2002. A Tutorial on Principal Components Analysis. Technical Report. Cornell University. Retrieved from http://www.cs.otago.ac.nz/cosc453/student_tutorials/principal_components.pdf.

[152]

H. Stockman. 1948. Communication by means of reflected power. Proc. IRE 36, 10 (1948), 1196--1204.

[153]

Zhi Sun et al. 2010. Magnetic induction communications for wireless underground sensor networks. IEEE Trans. Ant. Propag. 58, 7 (2010), 2426--2435.

[154]

Saeedeh Taghadomi-Saberi, Mahmoud Omid, Zahra Emam-Djomeh, and Hojjat Ahmadi. 2013. Evaluating the potential of artificial neural network and neuro-fuzzy techniques for estimating antioxidant activity and anthocyanin content of sweet cherry during ripening by using image processing. J. Sc. Food Agric. 94, 1 (2013), 95--101.

[155]

Petros S. Taoukis, Theofania Tsironi, Eleni Gogou, and Giannoglou M. 2008. Chill chain management and shelf life optimization of MAP seabream fillets: A TTI based alternative to FIFO. In Proceedings of the International Workshop on Cold Chain Management. 83--89.

[156]

F. L. Thurstone and H. E. Melton. 1970. Biomedical ultrasonics. IEEE Trans. Industr. Electron. Cont. Instrument. IECI-17, 2 (1970), 167--172.

[157]

L. M. M. Tijskens and R. G. Evelo. 1994. Modelling colour of tomatoes during postharvest storage. Postharv. Biol. Technol. 4, 1 (1994), 85--98.

[158]

L. M. M. Tijskens and J. J. Polderdijk. 1996. A generic model for keeping quality of vegetable produce during storage and distribution. Agric Syst 51, 4 (1996), 431--452.

[159]

Anne Trafton. 2012. Cost Effective Sensor Measures Fruit’s Ripeness. Retrieved from https://scitechdaily.com/cost-effective-sensor-measures-fruits-ripeness/.

[160]

Smita Tripathi and H. N. Mishra. 2009. Nutritional changes in powdered red pepper upon in vitro infection of Aspergillus flavus. Braz. J. Microbiol. 40, 1 (2009), 139--144.

[161]

2018. Standards for the Growing, Harvesting, Packing, and Holding of Produce for Human Consumption. Retrieved from https://www.fda.gov/regulatory-information/search-fda-guidance-documents/draft-guidance-industry-standards-growing-harvesting-packing-and-holding-produce-human-consumption.

[162]

Martinus A. J. S. Van Boekel. 2008. Kinetic modeling of food quality: A critical review. Compreh. Rev. Food Sci. Food Saf. 7, 1 (2008), 144--158.

[163]

X. Varlet-Grancher. 2006. Time temperature indicator (TTI) system. Retrieved from https://www.google.com/patents/EP1725846A1?cl=en EP Patent App. EP20,050,722,847.

[164]

P. Perkins Veazie and J. K. Collins. 2002. Quality of erect-type blackberry fruit after short intervals of controlled atmosphere storage. Postharv. Biol. Technol. 25, 2 (2002), 235--239.

[165]

P. Walstra. 2002. Physical Chemistry of Foods. Taylor 8 Francis.

[166]

Shaodong Wang, Xinghai Liu, Mei Yang, Yu Zhang, Keyu Xiang, and Rong Tang. 2015. Review of time temperature indicators as quality monitors in food packaging. Pack. Technol. Sci. 28, 10 (2015), 839--867.

[167]

D. Werber, A. Schwentner, and E. M. Biebl. 2006. Investigation of RF transmission properties of human tissues. Advances in Radio Science (2006), 357--360. Retrieved from https://pdfs.semanticscholar.org/2375/c6c20d1e2a7e063c41a5e2ee0ae117259431.pdf.

[168]

L. Xie, Y. Feng, M. Mäntysalo, Q. Chen, and L. Zheng. 2013. Integration of f-MWCNT sensor and printed circuits on paper substrate. IEEE Sens. J. 13, 10 (2013), 3948--3956.

[169]

Yulai Xie et al. 2013. Evaluation of a hybrid approach for efficient provenance storage. Trans. Stor. 9, 4 (2013), 14.

[170]

Yulai Xie, Kiran-Kumar Muniswamy-Reddy, Darrell D. E. Long, Ahmed Amer, Dan Feng, and Zhipeng Tan. 2011. Compressing provenance graphs. In Proceedings of the 3rd Workshop on the Theory and Practice of Provenance (TaPP’11).

[171]

WenJun Zhang, ChangJun Bai, and GuoDao Liu. 2007. Neural network modeling of ecosystems: A case study on cabbage growth system. Ecol. Mod. 201, 3 (2007), 317--325.

[172]

Y. Zuo, S. Chakrabartty, Z. Muhammad-Tahir, S. Pal, and E. C. Alocilja. 2006. Spatio-temporal processing for multichannel biosensors using support vector machines. IEEE Sens. J. 6, 6 (2006), 1644--1651.

Cited By

Shan ZYao J(2024)Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature VariationsSustainability10.3390/su1609362416:9(3624)Online publication date: 26-Apr-2024
https://doi.org/10.3390/su16093624
Rejikumar GVenkatesh VMouri NShi YGil M(2024)Modeling and Analyzing Online Food Delivery Services Using Design Thinking: An Optimization ApproachIEEE Transactions on Engineering Management10.1109/TEM.2023.324904171(7913-7929)Online publication date: 2024
https://doi.org/10.1109/TEM.2023.3249041
Shashi Ertz MCentobelli PCerchione R(2024)Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and SustainabilityIEEE Transactions on Engineering Management10.1109/TEM.2022.319420871(2812-2828)Online publication date: 2024
https://doi.org/10.1109/TEM.2022.3194208
Show More Cited By

Index Terms

Smart Sensing, Communication, and Control in Perishable Food Supply Chain
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Sensor applications and deployments
    2. Sensor devices and platforms
2. Networks
  1. Network types
    1. Cyber-physical networks
      1. Sensor networks

Recommendations

Robust optimization of sustainable food supply chain network considering food waste valorization and supply uncertainty
Highlights
- A multi objective MILP model is proposed to optimise the perishable FSC network.
Abstract
Increasing pressure from customer expectations to government regulation for sustainable food products warrants research in the sustainable food supply chain (FSC). One-third of the food produced is wasted, despite the potential to ...
Transparency in complex dynamic food supply chains

Food supply chains are increasingly complex and dynamic due to (i) increasing product proliferation to serve ever diversifying and globalising markets as a form of mass customisation with resulting global flows of raw materials, ingredients and products,...
Game Analysis between Governments and Food Corporations in Food Supply Chain with Consumers' Prosecution
BIFE '13: Proceedings of the 2013 Sixth International Conference on Business Intelligence and Financial Engineering

In order to provide a quantitative tool in how governments supervise food corporations, this paper constructs game model between governments and food corporations when there is prosecution existing in the food supply chain. We can reach the pure ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Sensor Networks

ACM Transactions on Sensor Networks Volume 16, Issue 1

February 2020

351 pages

ISSN:1550-4859

EISSN:1550-4867

DOI:10.1145/3368392

Editor:
Yunhao Liu
Tsinghua University, China

Issue’s Table of Contents

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Journal Family

ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 17 January 2020

Accepted: 01 August 2019

Revised: 01 April 2019

Received: 01 March 2018

Published in TOSN Volume 16, Issue 1

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Tutorial
Research
Refereed

Funding Sources

NSF

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

49
Total Citations
View Citations
4,270
Total Downloads

Downloads (Last 12 months)1,159
Downloads (Last 6 weeks)115

Reflects downloads up to 26 Jul 2024

Other Metrics

View Author Metrics

Citations

Cited By

Shan ZYao J(2024)Resource Scheduling Optimization of Fresh Food Delivery Porters Considering Ambient Temperature VariationsSustainability10.3390/su1609362416:9(3624)Online publication date: 26-Apr-2024
https://doi.org/10.3390/su16093624
Rejikumar GVenkatesh VMouri NShi YGil M(2024)Modeling and Analyzing Online Food Delivery Services Using Design Thinking: An Optimization ApproachIEEE Transactions on Engineering Management10.1109/TEM.2023.324904171(7913-7929)Online publication date: 2024
https://doi.org/10.1109/TEM.2023.3249041
Shashi Ertz MCentobelli PCerchione R(2024)Shaping the Future of Cold Chain 4.0 Through the Lenses of Digital Transition and SustainabilityIEEE Transactions on Engineering Management10.1109/TEM.2022.319420871(2812-2828)Online publication date: 2024
https://doi.org/10.1109/TEM.2022.3194208
Matusiewicz M(2024)Shared Logistics - A clash with reality: Results of a survey conducted on the Polish market of Logistics Service ProvidersTransportation Research Procedia10.1016/j.trpro.2024.03.01079(60-67)Online publication date: 2024
https://doi.org/10.1016/j.trpro.2024.03.010
Qiao JZhang MQiu LMujumdar AMa Y(2024)Visual early warning and prediction of fresh food quality deterioration: Research progress and application in supply chainFood Bioscience10.1016/j.fbio.2024.10367158(103671)Online publication date: May-2024
https://doi.org/10.1016/j.fbio.2024.103671
Vishnoi SGoel R(2024)Climate smart agriculture for sustainable productivity and healthy landscapesEnvironmental Science & Policy10.1016/j.envsci.2023.103600151(103600)Online publication date: Jan-2024
https://doi.org/10.1016/j.envsci.2023.103600
Sundaresan VChandrapragasam TRajaganesh TVimal PVadivelu M(2024)An EDGE based end-2-end system architecture for retail storesInternational Journal of Information Technology10.1007/s41870-024-01756-7Online publication date: 28-Mar-2024
https://doi.org/10.1007/s41870-024-01756-7
Saini PSingh RSinha A(2024)Path loss assessment of electromagnetic signal on air–sea and air–soil boundary in sensor networksInternational Journal of System Assurance Engineering and Management10.1007/s13198-023-02239-x15:6(2238-2247)Online publication date: 24-Jan-2024
https://doi.org/10.1007/s13198-023-02239-x
Souri FFatemi Ghomi S(2024)Design of sustainable perishable food supply chain network under uncertaintyOPSEARCH10.1007/s12597-024-00793-xOnline publication date: 2-Jul-2024
https://doi.org/10.1007/s12597-024-00793-x
de Castro Moura Duarte APicanço Rodrigues VBonome Message Costa L(2024)The sustainability challenges of fresh food supply chains: an integrative frameworkEnvironment, Development and Sustainability10.1007/s10668-024-04850-9Online publication date: 12-Apr-2024
https://doi.org/10.1007/s10668-024-04850-9
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

Media

Figures

Other

Tables

View Issue’s Table of Contents