1. bookVolume 27 (2021): Issue 2 (June 2021)
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2018
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch
access type Open Access

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

Online veröffentlicht: 12 Jun 2021
Seitenbereich: 75 - 89
Eingereicht: 11 Feb 2021
Akzeptiert: 14 Jun 2021
Zeitschriftendaten
License
Format
Zeitschrift
Erstveröffentlichung
30 Mar 2018
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch

Abhijit, 2019. Applications of Artificial Intelligence (AI) in the Food Industry, 1-3, https://artificialintelligence.oodles.io/blogs/applications-of-artificial-intelligence-in-the-food-industry/ Search in Google Scholar

Abraham, N., Ramar, R., Pandian, S., 2020. An efficient approach for rice prediction from authenticated Blockchain node using machine learning technique, Environmental Technology & Innovation, 101064. Search in Google Scholar

Accorsi, R., Bortolini, M., Baruffaldi, G., Pilati, F., Ferrari, E., 2017. Internet-of-things paradigm in food supply chains control and management, Procedia Manuf., 11, 889-895. Search in Google Scholar

Alfian, G., Syafrudin, M., Farooq, U., Ma’arif, M.R., Syaekhoni, M. A., Fitriyani, N. L., Rhee, J., 2020. Improving efficiency of RFID-based traceability system for perishable food by utilizing iot sensors and machine learning model, Food Control, 110, 107016. Search in Google Scholar

Alfian, G., Rhee, J., Ahn, H., Lee, J., Farooq, U., Ijaz, M. F., Syaekhoni, M. A., 2017. Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system, Journal of Food Engineering, 212, 65-75. Search in Google Scholar

Alfian, G., Syafrudin, M., Yoon, B., Rhee, J., 2019. False positive RFID detection using classification models, Applied Sciences, 9(6), 1154. Search in Google Scholar

Alonso, R.S., Sittón-Candanedo, I., García, Ó., Prieto, J., Rodríguez-González, S., 2020. An intelligent Edge-IoT platform for monitoring livestock and crops in a dairy farming scenario, Ad Hoc Networks, 98, 102047. Search in Google Scholar

Anshari, M., Almunawar, M. N., Masri, M., Hamdan, M., 2019. Digital marketplace and FinTech to support agriculture sustainability, Energy Procedia, 156, 234-238. Search in Google Scholar

Bhattacharjee, A., Das, P., Basu, D., Roy, S., Ghosh, S., Saha, S., Rana, T. K., 2017. Smart farming using IOT. In: 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference, 278-280. Search in Google Scholar

Anami, B.S., Malvade, N.N., Palaiah, S., 2020. Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images, Artificial Intelligence in Agriculture, 4, 12-20. Search in Google Scholar

Anastasiadis, F., Tsolakis, N., Srai, J.S., 2018. Digital technologies towards resource efficiency in the agri-food sector: Key challenges in developing countries, Sustainability, 10(12), 4850. Search in Google Scholar

Antonucci, F., Figorilli, S., Costa, C., Pallottino, F., Raso, L., Menesatti, P., 2019. A Review on blockchain applications in the agri-food sector. Journal of the Science of Food and Agriculture, 99(14), 6129-6138. Search in Google Scholar

Arnaud, A., Costa, G., 2020. Ultra low-cost sensors using RFID standards for data collection, for IoT systems in food production and logistics, In: 11th IEEE Latin American Symposium on Circuits & Systems, 1-4. Search in Google Scholar

Arunachalam, D., Kumar, N., Kawalek, J.P., 2018. Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice, Transp. Research Part E: Logi. and Transp. Review, 114, 416-436. Search in Google Scholar

Athauda, T., Karmakar, N.C., 2019. Review of RFID-based sensing in monitoring physical stimuli in smart packaging for food-freshness applications. Wireless Power Transfer, 6(2), 161-174. Search in Google Scholar

Bai, C., Dallasega, P., Orzes, G., Sarkis, J., 2020. Industry 4.0 technologies assessment: A sustainability perspective, International Journal of Production Economics, 107776. Search in Google Scholar

Barge, P., Biglia, A., Comba, L., Aimonino, D.R., Tortia, C., 2019. The influence of food composition and tag orientation on UHF RF IDentification. Journal of Food Engineering, 246, 242-252. Search in Google Scholar

Barnewold, L., Lottermoser, B.G., 2020. Identification of digital technologies and digitalisation trends in the mining industry, International Journal of Mining Science and Technology, DOI: 10.1016/j.ijmst.2020.07.003. Search in Google Scholar

Behnke, K., Janssen, M.F. W.H.A., 2020. Boundary conditions for traceability in food supply chains using blockchain technology, International Journal of Information Management, 52, 101969. Search in Google Scholar

Bibi, F., Guillaume, C., Gontard, N., Sorli, B., 2017. A review: RFID technology having sensing aptitudes for food industry and their contribution to tracking and monitoring of food products, Trends in Food Science & Technology, 62, 91-103. Search in Google Scholar

Biradar, H.B., Shabadi, L., 2017. Review on IoT based multidisciplinary models for smart farming, In: 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology, 1923-1926. Search in Google Scholar

Biswal, A.K., Jenamani, M., Kumar, S.K., 2018. Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system, Transportation Research Part E: Logistics and Transportation Review, 109, 205-224. Search in Google Scholar

Bonaccorsi, M., Betti, S., Rateni, G., Esposito, D., Brischetto, A., Marseglia, M., Cavallo, F., 2017. ‘HighChest’: An Augmented Freezer Designed for Smart Food Management and Promotion of Eco-Efficient Behaviour. Sensors, 17(6), 1357. Search in Google Scholar

Bottani, E., Bertolini, M., Rizzi, A., Romagnoli, G., 2017. Monitoring on-shelf availability, out-of-stock and product freshness through RFID in the fresh food supply chain, International Journal of RF Technologies, 8(1-2), 33-55. Search in Google Scholar

Belaud, J.P., Prioux, N., Vialle, C., Sablayrolles, C., 2019. Big data for agri-food 4.0: Application to sustainability management for by-products supply chain, Computers in Industry, 111, 41-50. Search in Google Scholar

Bhat, R., Jõudu, I., 2019. Emerging issues and challenges in agri-food supply chain, In: Sustainable food supply chains, 23-37, Academic Press. Search in Google Scholar

Brewster, C., Roussaki, I., Kalatzis, N., Doolin, K., Ellis, K., 2017. IoT in agriculture: Designing a Europe-wide large-scale pilot, IEEE Communications Magazine, 55(9), 26-33. Search in Google Scholar

Boshkoska, B.M., Liu, S., Zhao, G., Fernández, A., Gamboa, S., del Pino, M., Chen, H., 2019. A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains, Computers in Industry, 110, 64-80. Search in Google Scholar

Camaréna, S., 2020. Artificial intelligence in the design of transition to sustainable food systems, Journal of Cleaner Production, 122574. Search in Google Scholar

Caro, M.P., Ali, M.S., Vecchio, M., Giaffreda, R., 2018. Blockchain-based traceability in Agri-Food supply chain management: A practical implementation, In: 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany),1-4. Search in Google Scholar

Casino, F., Dasaklis, T.K., Patsakis, C., 2019. March 1). A systematic literature review of blockchain-based applications: Current status, classification and open issues, Telematics and Informatics, DOI: 10.1016/j.tele.2018.11.006. Search in Google Scholar

Chetanraj, K.Y., Shushrutha, K.S., Phani, A.R., Naveen, C.S., 2017. The design of active RFID for food quality and safety sensors, In 2017 International Conference On Smart Technologies For Smart Nation, 1124-1127. Search in Google Scholar

Chyuan, A.L.C., 2020, Artificial Intelligence for Agricultural Supply Chain. https://sipmm.edu.sg/artificial-intelligence-agricultural-supply-chain/ Search in Google Scholar

Clapp, J., Ruder, S.L., 2020. Precision technologies for agriculture: Digital farming, gene-edited crops, and the politics of sustainability, Global Environmental Politics, 20(3), 49-69. Search in Google Scholar

Cui, Y., 2018. Supply Chain Innovation with IoT. In Multi-Criteria Methods and Techniques Applied to Supply Chain Management, IntechOpen. Search in Google Scholar

Dabbene, F., Gay, P., Tortia, C., 2016. Radio-frequency identification usage in food traceability, In: Advances in Food Traceability Techniques and Technologies, Woodhead Publishing, 67-89. Search in Google Scholar

Desai, S., Deng, Q., Wellsandt, S., Thoben, K.D., 2019. An architecture of IoT-based product tracking with blockchain in multi-sided B2B platform, In: IFIP Int. Conf. on Advances in Production Management Systems, Springer, Cham, 458-465. Search in Google Scholar

Donatelli, M., Pisante, M., 2019. Digital Agriculture and the AgriDigit project, Italy: Case study contribution to the OECD TIP Digital and Open Innovation project. Search in Google Scholar

Duan, J.; Zhang, C.; Gong, Y., Brown, S., Li, Z., 2020. A content-analysis based literature review in blockchain adoption within food supply chain, Int. J. Environ. Res. Public Health, 17, 1784. Search in Google Scholar

Duckett, T., Pearson, S., Blackmore, S., Grieve, B., Chen, W. H., Cielniak, G., From, P., 2018. Agricultural robotics: the future of robotic agriculture, arXiv preprint arXiv:1806.06762. Search in Google Scholar

Dujak, D., Sajter, D., 2019. Blockchain applications in supply chain. In SMART supply network, Springer, Cham, 21-46. Search in Google Scholar

Elavarasi, G., Murugaboopathi, G., Kathirvel, S., 2019. Fresh fruit supply chain sensing and transaction using IoT, In: 2019 IEEE Int. Conf. on Intelligent Techniques in Control, Optimization and Signal Processing, 1-4. Search in Google Scholar

Elbasani, E., Siriporn, P., Choi, J.S., 2020. A Survey on RFID in Industry 4.0. In Internet of Things for Industry 4.0, Springer, Cham, 1-16. Search in Google Scholar

Estelles-Lopez, L., Ropodi, A., Pavlidis, D., Fotopoulou, J., Gkousari, C., Peyrodie, A., Mohareb, F., 2017. An automated ranking platform for machine learning regression models for meat spoilage prediction using multi-spectral imaging and metabolic profiling. Food Research International, 99, 206-215. Search in Google Scholar

Fan, B., Qian, J., Wu, X., Du, X., Li, W., Ji, Z., Xin, X., 2019. Improving continuous traceability of food stuff by using barcode-RFID bidirectional transformation equipment: Two field experiments, Food Control, 98, 449-456. Search in Google Scholar

Fathi, P., Karmakar, N.C., Bhattacharya, M., Bhattacharya, S., 2020. Potential Chipless RFID Sensors for Food Packaging Applications: A Review, IEEE Sensors Journal, 20(17), 9618-9636. Search in Google Scholar

Feng, H., Wang, X., Duan, Y., Zhang, J., Zhang, X., 2020. Applying block-chain technology to improve agri-food traceability: A review of development methods, benefits and challenges, Journal of Cleaner Production, 260, 121031. Search in Google Scholar

Fernando, Y., Mathath, A., Murshid, M.A., 2016. Improving productivity: A review of robotic applications in food industry, International Journal of Robotics Applications and Technologies, 4(1), 43-62. Search in Google Scholar

Fielke, S., Taylor, B., Jakku, E., 2020. Digitalisation of agricultural knowledge and advice networks: A state-of-the-art review, Agricultural Systems, 180, 102763. Search in Google Scholar

Fu, H., Zhao, C., Cheng, C., Ma, H., 2020. Blockchain-based agri-food supply chain management: case study in China, Int. Food and Agri. Mgmt. Review, 1-14. Search in Google Scholar

Galvez, J.F., Mejuto, J.C., Simal-Gandara, J., 2018. Future challenges on the use of blockchain for food traceability analysis, TrAC Trends in Analytical Chemistry, 107, 222-232. Search in Google Scholar

Gardas, B.B., Raut, R.D., Cheikhrouhou, N., Narkhede, B.E., 2019. A hybrid decision support system for analyzing challenges of the agricultural supply chain, Sustainable Production and Consumption, 18, 19-32. Search in Google Scholar

Ghalehkhondabi, I., Ahmadi, E., Maihami, R., 2020. An overview of big data analytics application in supply chain management published in 2010-2019, Production, 30. Search in Google Scholar

Gharehgozli, A., Iakovou, E., Chang, Y., Swaney, R., 2017. Trends in global E-food supply chain and implications for transport: literature review and research directions, Research in Transportation Business & Management, 25, 2-14. Search in Google Scholar

Gill, S.S., Tuli, S., Xu, M., Singh, I., Singh, K.V., Lindsay, D., Pervaiz, H., 2019. Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges, Internet of Things, 8, 100118. Search in Google Scholar

Govindan, K., Cheng, T.E., Mishra, N., Shukla, N., 2018. Big data analytics and application for logistics and supply chain management, Transportation Research Part E: Logistics and Transportation Review, 114, 343-349. Search in Google Scholar

Grainger, M.J., Aramyan, L., Logatcheva, K., Piras, S., Righi, S., Setti, M., Stewart, G.B., 2018. The use of systems models to identify food waste drivers, Global Food Security, 16, 1-8. Search in Google Scholar

Gregori, P., Holzmann, P., 2020. Digital sustainable entrepreneurship: A business model perspective on embedding digital technologies for social and environmental value creation, Journal of Cleaner Production, 272, 122817. Search in Google Scholar

Griffin, T., Peters, C., Fleisher, D., Conard, M., Conrad, Z., Tichenor, N., Saberi, H., 2018. Baselines, Trajectories, and Scenarios. Journal of Agriculture, Food Systems, and Community Development, 8(2), 23-37. Search in Google Scholar

Gurumurthy, A., Bharthur, D., 2019. Taking stock of AI in Indian agriculture. https://itforchange.net/sites/default/files/1664/Taking-Stock-of-AI-in-Indian-Agriculture.pdf Search in Google Scholar

Himesh, S., Prakasa Rao, E.V.S., Gouda, K.C., Ramesh, K.V., Rakesh, V., Mohapatra, G.N., 2018. Digital revolution and Big Data: a new revolution in agriculture. CAB Rev, 13(21), 1-7. Search in Google Scholar

Hoellthaler, G., Meister, F., Braunreuther, S., Reinhart, G., 2020. Function framework for describing digital technologies in the context of lean production. Procedia CIRP, 88, 167-172. Search in Google Scholar

Holmberg, A., Åquist, R., 2019. Blockchain technology in supply chain. The Journal of International Scientific Researches, 121–134. Search in Google Scholar

Honari, M.M., Saghlatoon, H., Mirzavand, R., Mousavi, P., 2018. An RFID sensor for early expiry detection of packaged foods. In: 18th Int. Symposium on Antenna Technology and Applied Electromagnetics, 1-2. Search in Google Scholar

Iqbal, J., Khan, Z.H., Khalid, A., 2017. Prospects of robotics in food industry, Food Science and Technology, 37(2), 159-165. Search in Google Scholar

Islam, S., Amin, S.H., 2020. Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques, J. Big Data, 7(1), 1-22. Search in Google Scholar

Ivanov, D., Dolgui, A., Sokolov, B., 2019. The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846. Search in Google Scholar

Jha, A.K., AGI, M., Ngai, E.W.T., 2020. A note on big data analytics capability development in supply chain, Decision Support Systems, 113382. Search in Google Scholar

Hernández, J.E., Kacprzyk, J., Lyons, A., Ortiz, A., Panetto, H., 2018. Review on operational research advances in agri-food supply chains and societal challenges, 29th European Conference on Operational Research, EURO’2018, Jul 2018, Valencia, Spain. Search in Google Scholar

Kamath, R. 2018. Food traceability on blockchain: Walmart’s pork and mango pilots with IBM, The Journal of the British Blockchain Association, 1(1), 3712. Search in Google Scholar

Kamble, S.S., Gunasekaran, A., 2020. Big data-driven supply chain performance measurement system: a review and framework for implementation, International Journal of Production Research, 58(1), 65-86. Search in Google Scholar

Kamble, S.S., Gunasekaran, A., Gawankar, S.A., 2020. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications, International Journal of Production Economics, 219, 179-194. Search in Google Scholar

Kamble, S.S., Gunasekaran, A., Parekh, H., Joshi, S., 2019. Modeling the internet of things adoption barriers in food retail supply chains, Journal of Retailing and Consumer Services, 48, 154-168. Search in Google Scholar

Kamilaris, A., Fonts, A., Prenafeta-Boldύ, F.X., 2019. The rise of blockchain technology in agriculture and food supply chains, Trends in Food Science & Technology, 91, 640-652. Search in Google Scholar

Karuppuswami, S., Matta, L.L., Alocilja, E.C., Chahal, P., 2018. A wireless RFID compatible sensor tag using gold nanoparticle markers for pathogen detection in the liquid food supply chain. IEEE Sensors Letters, 2(2), 1-4. Search in Google Scholar

Karuppuswami, S., Mondal, S., Kumar, D., Chahal, P., 2020. RFID coupled passive digital ammonia sensor for quality control of packaged food. IEEE Sensors Journal, 20(9), 4679-4687. Search in Google Scholar

Karuppuswami, S., Mondal, S., Kumar, D., Kaur, A., Chahal, P., 2019. Thin-film based passive RFID sensor tag for detection of packaged food volatiles, In: International Symposium on Microelectronics, 1, 599-602. Search in Google Scholar

Khan, S.F., Ismail, M.Y., 2018. An investigation into the challenges and opportunities associated with the application of internet of things (IoT) in the agricultural sector-a review, Journal of Computer Science, 14(2), 132-143. Search in Google Scholar

Khan, Z.H., Khalid, A., Iqbal, J., 2018. Towards realizing robotic potential in future intelligent food manufacturing systems, Innovative Food Science & Emerging Technologies, 48, 11-24. Search in Google Scholar

Khattab, A., Abdelgawad, A., Yelmarthi, K., 2016. Design and implementation of a cloud-based IoT scheme for precision agriculture, In: 28th Int. Conf. on Microelectronics, 201-204. Search in Google Scholar

Kirova, M., Montanari, F., Ferreira, I., Pesce, M., Diogo Albuquerque, J., Montfort, C., Neirynck, R., Moroni, J., Perrin, M., Echarri, J., Arcos Pujades, A., Lopez Montesinos, E., Pelayo, E., Traon, D., 2019. Research for AGRI Committee - Megatrends in the agri-food sector: global overview and possible policy response from an EU perspective. Search in Google Scholar

Kittipanya-Ngam, P., Tan, K.H., 2020. A framework for food supply chain digitalization: lessons from Thailand, Production Planning & Control, 31(2-3), 158-172. Search in Google Scholar

Kosior, K., 2018. Digital transformation in the agri-food sector–opportunities and challenges, Roczniki (Annals), 2018(1230-2019-3703). Search in Google Scholar

Krippendorff, K., 2004. Content analysis: An introduction to its methodology. Thousand Oaks, CA: Sage. Search in Google Scholar

Kumar, D., Kumar, M., Anandh, R., 2020. Blockchain technology in food supply chain security, International Journal of Scientific and Technology Research, 9(1), 3446-3450. Search in Google Scholar

Kumar, M.V., Iyengar, N.C.S., 2017. A framework for Blockchain technology in rice supply chain management, Adv. Sci. Technol. Lett, 146, 125-130. Search in Google Scholar

Kumar, V., Srivastava, A., 2018. The Role of RFID in Agro-Food Sector, Agricultural Research & Technology: Open Access Journal, 14(4), 1–7. Search in Google Scholar

Kumperščak, S., Medved, M., Terglav, M., Wrzalik, A., Obrecht, M., 2019. Traceability systems and technologies for better food supply chain management, Quality Production Improvement-QPI, 1(1), 567-574. Search in Google Scholar

Lezoche, M., Hernandez, J.E., Díaz, M.D.M.E.A., Panetto, H., Kacprzyk, J., 2020. Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture, Computers in Industry, 117, 103187. Search in Google Scholar

Li, Y., Dai, J., Cui, L., 2020. The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model, International Journal of Production Economics, 107777. Search in Google Scholar

Li, Z., Liu, G., Liu, L., Lai, X., Xu, G., 2017. IoT-based tracking and tracing platform for prepackaged food supply chain, Industrial Management & Data Systems, 117(9) 1906-1916. Search in Google Scholar

Liakos, K.G., Busato, P., Moshou, D., Pearson, S., Bochtis, D., 2018. Machine learning in agriculture: A review. Sensors, 18(8), 2674. Search in Google Scholar

Lioutas, E.D., Charatsari, C., 2020. Smart farming and short food supply chains: Are they compatible?, Land Use Policy, 94, 104541. Search in Google Scholar

Liu, Z., Li, Z., 2020. A blockchain-based framework of cross-border e-commerce supply chain, International Journal of Information Management, 52, 102059. Search in Google Scholar

Liu, C., Shu, T., Chen, S., Wang, S., Lai, K.K., Gan, L., 2016. An improved grey neural network model for predicting transportation disruptions, Expert Systems with Applications, 45, 331-340. Search in Google Scholar

Lu, J., Yang, L., Qiu, Y., Li, D., 2019. An improved RFID anti-collision algorithm and its application in food tracking, In: 14th Int. Conf. on Computer Science & Education, 248-252. Search in Google Scholar

Lucena, P., Binotto, A.P., Momo, F.D.S., Kim, H., 2018. A case study for grain quality assurance tracking based on a Blockchain business network, arXiv preprint arXiv:1803.07877. Search in Google Scholar

Mahbub, M., 2020. A smart farming concept based on smart embedded electronics, internet of things and wireless sensor network, Internet of Things, 9, 100161. Search in Google Scholar

Mao, D., Hao, Z., Wang, F., Li, H., 2018. Innovative blockchain-based approach for sustainable and credible environment in food trade: a case study in Shandong province, China. Sustainability, 10(9), 3149. Search in Google Scholar

Markets and Markets., 2017. Agricultural Robots Market, 1–14. https://www.marketsandmarkets.com/Market-Reports/agricultural-robot-market-173601759.html Search in Google Scholar

Matsumoto, Y., Hibino, H., Kubo, N., Kimura, M., Mizukami, Y., 2017. Modelling and simulation of agricultural production system based on IoT cultivated fields information. In: IEEE Int. Conf. on Industrial Engineering and Engineering Management, 354-358. Search in Google Scholar

Mercier, S., Uysal, I., 2018. Neural network models for predicting perishable food temperatures along the supply chain, Biosystems Engineering, 171, 91-100. Search in Google Scholar

Miao, F., Lu, X., Tao, B., Liu, K., Liu, D., 2018. Design of Rice Traceability System Based on WSN and RFID, In: Int. Conf. on Intelligent and Interactive Systems and Applications, 123-130. Springer, Cham. Search in Google Scholar

Miranda, J., Ponce, P., Molina, A., Wright, P., 2019. Sensing, smart and sustainable technologies for Agri-Food 4.0, Computers in Industry, 108, 21-36. Search in Google Scholar

Misra, N. N., Dixit, Y., Al-Mallahi, A., Bhullar, M.S., Upadhyay, R., Martynenko, A., 2020. IoT, big data and artificial intelligence in agriculture and food industry, IEEE Internet of Things Journal, 4662(c), 1-1. Search in Google Scholar

Mondal, S., Wijewardena, K.P., Karuppuswami, S., Kriti, N., Kumar, D., Chahal, P., 2019. Blockchain inspired RFID-based information architecture for food supply chain. IEEE Internet of Things Journal, 6(3), 5803-5813. Search in Google Scholar

Mondino, P., González, A,J.L., 2019. Evaluation of a decision support system for crop protection in apple orchards, Computers in Industry, 107, 99-103. Search in Google Scholar

Mor, R.S., Jaiswal, S., Singh, S., Bhardwaj, A., 2019. Demand Forecasting of the Short-Lifecycle Dairy Products, In: Understanding the Role of Business Analytics: Some Applications, https://doi.org/10.1007/978-981-13-1334-9_6. Search in Google Scholar

Mor, R.S., Bhardwaj, A., Singh, S., 2018a. A structured-literature-review of the supply chain practices in Dairy industry, Journal of Operations and Supply Chain Management, 11(1), 14-25 Search in Google Scholar

Mor, R.S., Bhardwaj, A., Singh, S., 2018b. A structured literature review of the supply chain practices in food processing industry, Proceedings of the 2018 International Conference on Industrial Engineering and Operations Management, Bandung, Indonesia, March 6-8, 2018, 588-599. Search in Google Scholar

Motta, G.A., Tekinerdogan, B., Athanasiadis, I.N., 2020. Blockchain applications in the agri-food domain: the first wave, Frontiers in Blockchain, 3, 6. Search in Google Scholar

Neuendorf, K.A. 2002. The content analysis guidebook, Thousand Oaks, CA: Sage. Search in Google Scholar

Ni, D., Xiao, Z., Lim, M.K., 2019. A systematic review of the research trends of machine learning in supply chain management, International Journal of Machine Learning and Cybernetics, 1-20. Search in Google Scholar

Nirenjena, S., BalaSubramanian, D.L., Monisha, M., 2018. Advancement in monitoring the food supply chain management using IoT, International Journal of Pure and Applied Mathematics, 119(14), 1193-1196. Search in Google Scholar

Oncioiu, I., Bunget, O.C., Türkeș, M.C., Căpușneanu, S., Topor, D.I., Tamaș, A.S., Hint, M.Ș., 2019. The impact of big data analytics on company performance in supply chain management, Sustainability, 11(18), 4864. Search in Google Scholar

Organisation for Economic Co-operation and Development (OECD), 2019. agriculture policy brief, The digital transformation of the agriculture and food system. Search in Google Scholar

Otogawa, Y., Isobe, M., Taguchi, K., Kyozu, H., 2017. AI Technology for Boosting Efficiency of Logistics and Optimizing Supply Chains, 67(2), 233-238. Search in Google Scholar

Pal, A., Kant, K., 2018. IoT-based sensing and communications infrastructure for the fresh food supply chain, Computer, 51(2), 76-80. Search in Google Scholar

Panetto, H., Lezoche, M., Hernandez, J., Diaz, M.D.M.E.A., Kacprzyk, J., 2020. Special issue on Agri-Food 4.0 and digitalization in agriculture supply chains-New directions, challenges and applications, Computers in Industry, 116, 103188. Search in Google Scholar

Parada, R., Palazón, A., Monzo, C., Melià-Seguí, J., 2019. RFID based embedded system for sustainable food management in an IoT network paradigm, Future Internet, 11(9), 189. Search in Google Scholar

Pathan, M., Patel, N., Yagnik, H., Shah, M., 2020. Artificial cognition for applications in smart agriculture: A comprehensive review, Artificial Intelligence in Agriculture, 4, 81-95. Search in Google Scholar

Payne, K., 2019. Artificial Intelligence and the Fresh Food Supply Chain. 1–4. https://insidebigdata.com/2019/04/01/artificial-intelligence-and-the-fresh-food-supply-chain/ Search in Google Scholar

Pierson, H.A., Gashler, M.S., 2017. Deep learning in robotics: a review of recent research, Advanced Robotics, 31(16), 821-835. Search in Google Scholar

Ping, H., Wang, J., Ma, Z., Du, Y., 2018. Mini-review of application of IoT technology in monitoring agricultural products quality and safety, International Journal of Agricultural and Biological Engineering, 11(5), 35-45. Search in Google Scholar

Rejeb, A., Rejeb, K., 2020. Blockchain and supply chain sustainability, Log-Forum, 16(3). Search in Google Scholar

Reyna, A., Martín, C., Chen, J., Soler, E., Díaz, M., 2018. On blockchain and its integration with IoT. Challenges and opportunities, Future Generation Computer Systems, 88, 173-190. Search in Google Scholar

Roßmann, B., Canzaniello, A., von der Gracht, H., Hartmann, E., 2018. The future and social impact of big data analytics in supply chain management: results from a Delphi study, Technological Forecasting and Social Change, 130, 135-149. Search in Google Scholar

Robinson, M., 2017. Tiny self-driving robots have started delivering food on-demand in Silicon Valley—take a look, Business Insider, Mar, 24. Search in Google Scholar

Rogerson, M., Parry, G.C., 2020. Blockchain: case studies in food supply chain visibility Supply Chain Management: An International Journal, 25(5), 601-614. Search in Google Scholar

Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L., 2019. Blockchain technology and its relationships to sustainable supply chain management, International Journal of Production Research, 57(7), 2117-2135. Search in Google Scholar

Saggin, B., Belaizi, Y., Vena, A., Sorli, B., Guillard, V., Dedieu, I., 2019. A flexible biopolymer based UHF RFID-sensor for food quality monitoring, In: IEEE Int. Conf. on RFID Technology and Applications (RFIDTA), 484-487. Search in Google Scholar

Sarkar, P.J., Chanagala, S., 2016. A survey on IoT based digital agriculture monitoring system and their impact on optimal utilization of resources, Journal of Electronics and Communication Engineering, 11(1), 1-4. Search in Google Scholar

Shahid, A., Almogren, A., Javaid, N., Al-Zahrani, F.A., Zuair, M., Alam, M., 2020. Blockchain-based agri-food supply chain: a complete solution, IEEE Access, 8, 69230-69243. Search in Google Scholar

Sharma, R., Kamble, S.S., Gunasekaran, A., Kumar, V., Kumar, A., 2020. A systematic literature review on machine learning applications for sustainable agriculture supply chain performance, Computers & Operations, DOI: 10.1016/j.cor.2020.104926. Search in Google Scholar

Singh, A., Shukla, N., Mishra, N., 2018. Social media data analytics to improve supply chain management in food industries, Transp. Research Part E: Logi. and Transp. Review, 114, 398-415. Search in Google Scholar

Singh, S.K., Rathore, S., Park, J.H., 2020. BlockIoIIntelligence: A block-chain-enabled intelligent IoT architecture with artificial intelligence. Future Generation Computer Systems, 110, 721-743. Search in Google Scholar

Sobral, J.V., Rodrigues, J.J., Rabelo, R.A., Lima Filho, J.C., Sousa, N., Araujo, H.S., Holanda Filho, R., 2018. A framework for enhancing the performance of Internet of Things applications based on RFID and WSNs. J. Network and Computer Appl., 107, 56-68. Search in Google Scholar

Stranieri, S., Riccardi, F., Meuwissen, M.P., Soregaroli, C., 2020. Exploring the impact of blockchain on the performance of agri-food supply chains. Food Control, 107495. Search in Google Scholar

Talaviya, T., Shah, D., Patel, N., Yagnik, H., Shah, M., 2020. Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides, Artificial Intelligence in Agriculture, 4, 58-73. Search in Google Scholar

Tavana, M., Fallahpour, A., Di Caprio, D., Santos-Arteaga, F.J., 2016. A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection, Expert Systems with Appl., 61, 129-144. Search in Google Scholar

Tian, F., 2017. A supply chain traceability system for food safety based on HACCP, blockchain & internet of things, In: Int. conf. on service systems and service management, 1-6. Search in Google Scholar

Tijan E., Aksentijević S., Ivanić K., Jardas M., 2019. Blockchain Technology Implementation in Logistics. Sustainability, 11(4), 1185. Search in Google Scholar

Tipmontian, J., Alcover, J. C., Rajmohan, M., 2020. Impact of blockchain adoption for safe food supply chain management through system dynamics approach from management perspectives in thailand, In: Multidisciplinary Digital Publishing Institute Proceedings, 39(1), 14. Search in Google Scholar

Todorova, L., Tcacenco, A., 2019. Study regarding peculiarities of introducing and developing effective digital technologies in the agri-food sector, Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 19(4), 341-344. Search in Google Scholar

Trendov, N.M., Varas, S., Zeng, M., 2019. Digital technologies in agriculture and rural areas. Briefing paper, Rome: Food and Agriculture Organization of the United Nations. Search in Google Scholar

Tripoli, M., Schmidhuber, J., 2018. Emerging opportunities for the application of blockchain in the agri-food industry, FAO and ICTSD: Rome and Geneva. Search in Google Scholar

Tse, D., Zhang, B., Yang, Y., Cheng, C., Mu, H., 2017. Blockchain application in food supply information security, In: IEEE International Conference on Industrial Engineering and Engineering Management, 1357-1361. Search in Google Scholar

Valentini, R., Sievenpiper, J.L., Antonelli, M., Dembska, K., 2019. Achieving the sustainable development goals through sustainable food systems, In: Achieving the Sustainable Development Goals Through Sustainable Food Systems, DOI: 10.1007/978-3-030-23969-5. Search in Google Scholar

Verdouw, C.N., Wolfert, J., Beulens, A.J.M., Rialland, A., 2016. Virtualization of food supply chains with the internet of things, Journal of Food Engineering, 176, 128-136. Search in Google Scholar

Villalobos, J.R., Soto-Silva, W.E., González-Araya, M.C., González–Ramirez, R.G., 2019. Research directions in technology development to support real-time decisions of fresh produce logistics: a review and research agenda, Computers and Electronics in Agriculture, 167, 105092. Search in Google Scholar

Wadhwa, P., Rama, P., 2018. Fresh fruit supply chain management using IoT. International Journal of Science and Engineering, 2456-3293. Search in Google Scholar

Wamba, S.F., Gunasekaran, A., Papadopoulos, T., Ngai, E., 2018. Big data analytics in logistics and supply chain management, The International Journal of Logistics Management, 29(2), 478-484. Search in Google Scholar

Wang, G., Gunasekaran, A., Ngai, E.W., Papadopoulos, T., 2016. Big data analytics in logistics and supply chain management: Certain investigations for research and applications, International Journal of Production Economics, 176, 98-110. Search in Google Scholar

Ward, T. 2017. “Blockchain Could Help Us Save the Environment. Here’s How.” https://futurism.com/blockchain-could-help-saveenvironment-heres-how/. Search in Google Scholar

Xiao, H., Bo, H., Chen, W., 2017. Food warehousing simulation by RFID technology, Journal of Interdisciplinary Mathematics, 20(1), 112-124. Search in Google Scholar

Xiong, H., Dalhaus, T., Wang, P., Huang, J., 2020. Blockchain technology for agriculture: applications and rationale, Front. in Blockchain, 3, 7. Search in Google Scholar

Yiying, Z., Yuanlong, R., Fei, L., Jing, S., Song, L., 2019. Research on meat food traceability system based on RFID technology, In: IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, 2172-2175. Search in Google Scholar

Yu, W., Chavez, R., Jacobs, M.A., Feng, M., 2018. Data-driven supply chain capabilities and performance: A resource-based view, Transportation Research Part E: logistics and transportation review, 114, 371-385. Search in Google Scholar

Yuan, M., Ghannam, R., Karadimas, P., Heidari, H., 2018. Flexible RFID Patch for Food Spoilage Monitoring. In: IEEE Asia Pacific Conf. on Postgraduate Research in Microel. and Electronics, 68-71. Search in Google Scholar

Zhang, T., Cao, C., Yu, H., Liu, Y., 2020. Design and implementation of dairy food tracking system based on RFID, In: Int. Wireless Communications and Mobile Computing, 2199-2203. Search in Google Scholar

Zhang, Y., Zhao, L., Qian, C., 2017. Modeling of an IoT-enabled supply chain for perishable food with two-echelon supply hubs, Ind. Mgmt. & Data Systems, 117(9), 1880-1905. Search in Google Scholar

Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., Boshkoska, B.M., 2019. Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions, Computers in Industry, 109, 83-99. Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo