research-article

Review of IoT applications in agro-industrial and environmental fields

Authors:

Jess Martn Talavera,

Luis Eduardo Tobn,

Jairo Alejandro Gmez,

Mara Alejandra Culman,

Juan Manuel Aranda,

Diana Teresa Parra,

Luis Alfredo Quiroz,

Luis Ernesto GarretaAuthors Info & Claims

Computers and Electronics in Agriculture, Volume 142, Issue PA

Pages 283 - 297

https://doi.org/10.1016/j.compag.2017.09.015

Published: 01 November 2017 Publication History

Abstract

Systematic literature review of IoT applications in agro-industry and environment during 20062016.Clustering of IoT applications into four domains: monitoring, control, prediction, and logistics.Visualization of key technologies used to develop the IoT applications.Discussion of trends and open challenges.Proposal of an IoT architecture for agro-industrial and environmental applications based on the research findings. This paper reviews agro-industrial and environmental applications that are using Internet of Things (IoT). It is motivated by the need to identify application areas, trends, architectures and open challenges in these two fields. The underlying survey was developed following a systematic literature review using academic documents written in English and published in peer-reviewed venues from 2006 to 2016. Selected references were clustered into four application domains corresponding to: monitoring, control, logistics, and prediction. Implementation-specific details from each selected reference were compiled to create usage distributions of sensors, actuators, power sources, edge computing modules, communication technologies, storage solutions, and visualization strategies. Finally, the results from the review were compiled into an IoT architecture that represents a wide range of current solutions in agro-industrial and environmental fields.

References

[1]

S. Barrachina-Muoz, B. Bellalta, T. Adame, A. Bel, Multi-hop communication in the uplink for LPWANs, Comput. Netw., 123 (2017) 153-168.

[2]

E. Borgia, The internet of things vision: key features, applications and open issues, Comput. Commun., 54 (2014) 1-31.

Digital Library

[3]

Capello, F., Toja, M., Trapani, N., 2016. A real-time monitoring service based on industrial internet of things to manage agrifood logistics. In: 6th International Conference on Information Systems, Logistics and Supply Chain, pp. 18.

[4]

S. Charoenpanyasak, W. Suntiamorntut, T. Phatthanatraiwat, J. Ruksachum, Smart shrimp hatchery using mikros platform, in: 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC), IEEE, 2011, pp. 1-5.

[5]

P. Chavez-Burbano, I. Marin-Garcia, A. Muoz-Arcentales, Ad-hoc network implementation and experimental testing using low cost and COTS components: an ecuatorian case study, in: International Work Conference on Bio-inspired Intelligence (IWOBI), IEEE, 2014, pp. 133-137.

[6]

K.T. Chen, H.H. Zhang, T.T. Wu, J. Hu, C.Y. Zhai, D. Wang, Design of monitoring system for multilayer soil temperature and moisture based on WSN, in: International Conference on Wireless Communication and Sensor Network (WCSN), IEEE, Wuhan, 2014, pp. 425-430.

Digital Library

[7]

Y. Chen, J.-P. Chanet, K.-M. Hou, H. Shi, G. de Sousa, A scalable context-aware objective function (SCAOF) of routing protocol for agricultural low-power and lossy networks (RPAL), Sensors, 15 (2015) 19507-19540.

[8]

F.B. Culibrina, E.P. Dadios, Smart farm using wireless sensor network for data acquisition and power control distribution, in: International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), IEEE, 2015, pp. 1-6.

[9]

A.R. De La Concepcion, R. Stefanelli, D. Trinchero, A wireless sensor network platform optimized for assisted sustainable agriculture, in: Global Humanitarian Technology Conference (GHTC), IEEE, 2014, pp. 159-165.

[10]

A.L. Diedrichs, G. Tabacchi, G. Grnwaldt, M. Pecchia, G. Mercado, F.G. Antivilo, Low-power wireless sensor network for frost monitoring in agriculture research, in: Biennial Congress of Argentina (ARGENCON), IEEE, 2014, pp. 525-530.

[11]

F. Edwards-Murphy, M. Magno, P.M. Whelan, J. OHalloran, E.M. Popovici, b+WSN: smart beehive with preliminary decision tree analysis for agriculture and honey bee health monitoring, Comput. Electron. Agric., 124 (2016) 211-219.

Digital Library

[12]

S. Ehsan, K. Bradford, M. Brugger, B. Hamdaoui, Y. Kovchegov, D. Johnson, M. Louhaichi, Design and analysis of delay-tolerant sensor networks for monitoring and tracking free-roaming animals, IEEE Trans. Wireless Commun., 11 (2012) 1220-1227.

[13]

K.-H. Eom, K.-H. Hyun, S. Lin, J.-W. Kim, The meat freshness monitoring system using the smart RFID tag, Int. J. Distrib. Sensor Networks, 2014 (2014) 1-10.

[14]

S. Fang, L. Da Xu, Y. Zhu, J. Ahati, H. Pei, J. Yan, Z. Liu, An integrated system for regional environmental monitoring and management based on internet of things, IEEE Trans. Ind. Inform., 10 (2014) 1596-1605.

[15]

C. Feng, H.R. Wu, H.J. Zhu, X. Sun, The design and realization of apple orchard intelligent monitoring system based on internet of things technology, in: Advanced Materials Research, vol. 546, Trans Tech Publ, 2012, pp. 898-902.

[16]

M.A. Fourati, W. Chebbi, A. Kamoun, Development of a web-based weather station for irrigation scheduling, in: 3rd International Colloquium in Information Science and Technology (CIST), IEEE, 2014, pp. 37-42.

[17]

A. Giorgetti, M. Lucchi, E. Tavelli, M. Barla, G. Gigli, N. Casagli, M. Chiani, D. Dardari, A robust wireless sensor network for landslide risk analysis: system design, deployment, and field testing, IEEE Sens. J., 16 (2016) 6374-6386.

[18]

J. Gutirrez, J.F. Villa-Medina, A. Nieto-Garibay, M. Porta-Gndara, automated irrigation system using a wireless sensor network and GPRS module, IEEE Trans. Instrum. Meas., 63 (2014) 166-176.

[19]

S. Hachem, V. Mallet, R. Ventura, A. Pathak, V. Issarny, P.-G. Raverdy, R. Bhatia, Monitoring noise pollution using the urban civics middleware, in: First International Conference on Big Data Computing Service and Applications, IEEE, 2015, pp. 52-61.

Digital Library

[20]

Hakala, I., Tikkakoski, M., Kivel, I., 2008. Wireless sensor network in environmental monitoring - case foxhouse. In: 2nd International Conference on Sensor Technologies and Applications (SENSORCOMM), pp. 202208.

Digital Library

[21]

N. Hashim, S. Mazlan, M.A. Aziz, A. Salleh, A. Jaafar, N. Mohamad, Agriculture monitoring system: a study, J. Teknologi, 77 (2015) 53-59.

[22]

Hussain, S., Schofield, N., Matin, A.W. 2006. Design of a web-based application for wireless sensor networks. In: 17th International Workshop on Database and Expert Systems Applications (DEXA), pp. 319326.

Digital Library

[23]

A. Islam, T. Islam, M.A. Syrus, N. Ahmed, Implementation of flash flood monitoring system based on wireless sensor network in Bangladesh, in: 3rd International Conference on Informatics, Electronics & Vision, IEEE, Dhaka, 2014, pp. 1-6.

[24]

Jain, V.R., Bagree, R., Kumar, A., Ranjan, P., 2008. wildCENSE: GPS based animal tracking system. In: International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp. 617622.

[25]

C. Jardak, K. Rerkrai, A. Kovacevic, J. Riihijarvi, P. Mahonen, Email from the vineyard, in: 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops (TridentCom), IEEE, 2009, pp. 1-6.

[26]

P.P. Jayaraman, D. Palmer, A. Zaslavsky, D. Georgakopoulos, Do-it-yourself digital agriculture applications with semantically enhanced IoT platform, in: 10th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), IEEE, 2015, pp. 1-6.

[27]

P.P. Jayaraman, D. Palmer, A. Zaslavsky, A. Salehi, D. Georgakopoulos, Addressing information processing needs of digital agriculture with OpenIoT platform, in: Interoperability and Open-Source Solutions for the Internet of Things, Springer, 2015, pp. 137-152.

[28]

Jiang, R., Zhang, Y., 2013. Research of agricultural information service platform based on internet of things. In: 12th International Symposium on Distributed Computing and Applications to Business, Engineering Science (DCABES), pp. 176180.

Digital Library

[29]

J. Jiao, H. Ma, Y. Qiao, Y. Du, W. Kong, Z. Wu, Design of farm environmental monitoring system based on the internet of things, Adv. J. Food Sci. Technol., 6 (2014) 368-373.

[30]

Jiber, Y., Harroud, H., Karmouch, A., 2011. Precision agriculture monitoring framework based on WSN. In: 7th International Wireless Communications and Mobile Computing Conference, pp. 20152020.

[31]

N. Kaewmard, S. Saiyod, Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm, in: Conference on Wireless Sensors (ICWiSE), IEEE, 2014, pp. 106-112.

[32]

O. Kanoun, S. Khriji, D. El Houssaini, C. Viehweger, M.W. Jmal, M. Abid, Precision irrigation based on wireless sensor network, IET Sci. Meas. Technol., 8 (2014) 98-106.

[33]

Kar, A., Kar, A., 2015. A novel design of a portable double beam-in-time spectrometric sensor platform with cloud connectivity for environmental monitoring applications. In: 3rd International Conference on Computer, Communication, Control and Information Technology (C3IT), pp. 16.

[34]

Khandani, S.K., Kalantari, M., 2009. Using field data to design a sensor network. In: 43rd Annual Conference on Information Sciences and Systems (CISS), pp. 219223.

[35]

Kitchenham, B., Charters, S., 2007. Guidelines for performing systematic literature reviews in software engineering. In: EBSE Technical Report. EBSE-2007-01. pp. 150.

[36]

Kiyoshi, H., Shrestha, A., Chinnachodteeranun, R., Mizoguchi, M., Shimamura, H., Kameoka, T., 2008. Spinach field monitoring for bridging thai producer and japanese consumer under sensor Asia. In: SICE Annual Conference, pp. 25822585.

[37]

R.K. Kodali, N. Rawat, L. Boppana, WSN sensors for precision agriculture, in: Region 10 Symposium, IEEE, 2014, pp. 651-656.

[38]

M. Kuroda, H. Ibayashi, H. Mineno, Affordable 400 MHz long-haul sensor network for greenhouse horticulture, in: International Conference on Information Networking (ICOIN), IEEE, Cambodia, 2015, pp. 19-24.

[39]

K. Langendoen, A. Baggio, O. Visser, Murphy loves potatoes experiences from a pilot sensor network deployment in precision agriculture, in: 20th International Parallel and Distributed Processing Symposium (IPDPS), vol. 2006, IEEE, Rhodes Island, 2006, pp. 1530-2075.

Digital Library

[40]

Lee, J., Kang, H., Bang, H., 2012. Dynamic crop field analysis using mobile sensor node. In: International Conference on ICT Convergence (ICTC), pp. 7-11.

[41]

M. Lee, J. Hwang, H. Yoe, Agricultural production system based on IoT, in: 16th International Conference on Computational Science and Engineering (CSE), IEEE, 2013, pp. 833-837.

Digital Library

[42]

M. Li, G. Chen, Z. Zhu, Information service system of agriculture IoT, Automatika - J. Control, Meas. Electron. Comput. Commun., 54 (2013) 415-426.

[43]

R.-A. Li, X. Sha, K. Lin, Smart greenhouse: a real-time mobile intelligent monitoring system based on WSN, in: International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, 2014, pp. 1152-1156.

[44]

W. Liping, Study on agricultural products logistics mode in Henan Province of China, in: Software Eng. Knowledge Eng.: Theory Practice, Springer, 2012, pp. 635-640.

[45]

Y. Liu, W. Han, Y. Zhang, L. Li, J. Wang, L. Zheng, An internet-of-things solution for food safety and quality control: a pilot project in China, J. Ind. Inform. Integrat., 3 (2016) 1-7.

[46]

Z. Liu, J. Huang, Q. Wang, Y. Wang, J. Fu, Real-time barrier lakes monitoring and warning system based on wireless sensor network, in: International Conference on Intelligent Control and Information Processing (ICICIP), IEEE, Beijing, 2013, pp. 551-554.

[47]

S. Lu, M. Duan, P. Zhao, Y. Lang, X. Huang, GPRS-based environment monitoring system and its application in apple production, in: International Conference on Progress in Informatics and Computing (PIC), vol. 1, IEEE, 2010, pp. 486-490.

[48]

T.-C. Lu, L.-R. Huang, Y. Lee, K.-J. Tsai, Y.-T. Liao, N.-C. Cheng, Y.-H. Chu, Y.-H. Tsai, F.-C. Chen, T.-C. Chiueh, Invited wireless sensor nodes for environmental monitoring in internet of things, in: 53rd Design Automation Conference (DAC), ACM, 2016, pp. 1-5.

Digital Library

[49]

Q. Luan, X. Fang, C. Ye, Y. Liu, An integrated service system for agricultural drought monitoring and forecasting and irrigation amount forecasting, in: 23rd International Conference on Geoinformatics, IEEE, 2015, pp. 1-7.

[50]

Lukas, W.A. Tanumihardja, E. Gunawan, On the application of IoT: monitoring of troughs water level using WSN, in: Conference on Wireless Sensors (ICWiSe), IEEE, 2015, pp. 58-62.

[51]

D. Ma, Q. Ding, Z. Li, D. Li, Y. Wei, Prototype of an aquacultural information system based on internet of things E-Nose, Intell. Automat. Soft Comput., 18 (2012) 569-579.

[52]

Mafuta, M., Zennaro, M., Bagula, A., Ault, G., Gombachika, H., Chadza, T., 2012. Successful Deployment of a Wireless Sensor Network for Precision Agriculture in Malawi. In: 3rd International Conference on Networked Embedded Systems for Every Application (NESEA). IEEE, pp. 17.

Digital Library

[53]

P. Marino, F.P. Fontn, M. Domnguez, S. Otero, An experimental Ad-hoc WSN for the instrumentation of biological models, IEEE Trans. Instrum. Meas., 59 (2010) 2936-2948.

[54]

M. Marjanovi, L. Skorin-Kapov, K. Pripui, A. Antoni, I. Podnar arko, Energy-aware and quality-driven sensor management for green mobile crowd sensing, J. Network Comput. Appl., 59 (2016) 95-108.

Digital Library

[55]

Mathurkar, S.S., Patel, N.R., Lanjewar, R.B., Somkuwar, R.S., 2014. Smart sensors based monitoring system for agriculture using field programmable gate array. In: International Conference on Circuit, Power and Computing Technologies (ICCPCT). IEEE, pp. 339344.

[56]

Medela, A., Cendn, B., Gonzlez, L., Crespo, R., Nevares, I., 2013. IoT Multiplatform networking to monitor and control wineries and vineyards. In: Future Network and Mobile Summit. IEEE, pp. 110.

[57]

A. Mittal, K.P. Chetan, S. Jayaraman, B.G. Jagyasi, A. Pande, P. Balamuralidhar, mKRISHI wireless sensor network platform for precision agriculture, in: 6th International Conference on Sensing Technology (ICST), IEEE, 2012, pp. 623-629.

[58]

Nguyen, T.-D., Thanh, T.T., Nguyen, L.-L., Huynh, H.-T., 2015. On the design of energy efficient environment monitoring station and data collection network based on ubiquitous wireless sensor networks. In: International Conference on Computing & Communication Technologies-Research, Innovation, and Vision for the Future (RIVF). IEEE, pp. 163168.

[59]

R. Pahuja, H. Verma, M. Uddin, A wireless sensor network for greenhouse climate control, IEEE Pervasive Comput., 12 (2013) 49-58.

Digital Library

[60]

Z. Pang, Q. Chen, W. Han, L. Zheng, Value-centric design of the internet-of-things solution for food supply Chain: value creation, sensor portfolio and information fusion, Inform. Syst. Front., 17 (2015) 289-319.

Digital Library

[61]

C. Pham, A. Rahim, P. Cousin, Low-cost, long-range open IoT for smarter Rural African villages, in: International Smart Cities Conference (ISC2), IEEE, 2016, pp. 1-6.

[62]

Pokri, B., Kro, S., Draji, D., Pokri, M., Joki, I., Stojanovi, M.J., 2014. ekoNET - environmental monitoring using low-cost sensors for detecting gases, particulate matter, and meteorological parameters. In: Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), pp. 421426.

Digital Library

[63]

O. Postolache, J.D. Pereira, P.S. Giro, Wireless sensor network-based solution for environmental monitoring: water quality assessment case study, IET Sci., Meas. Technol., 8 (2014) 610-616.

[64]

Postolache, O., Pereira, M., Girao, P., 2013. Sensor network for environment monitoring: water quality case study. In: 4th Symposium on Environmental Instrumentation and Measurements, pp. 3034.

[65]

Roy, S.K., Roy, A., Misra, S., Raghuwanshi, N.S., Obaidat, M.S., 2015. AID: A prototype for agricultural intrusion detection using wireless sensor network. In: International Conference on Communications (ICC). IEEE, pp. 70597064.

[66]

J. Ruan, Y. Shi, Monitoring and assessing fruit freshness in IoT-Based E-commerce delivery using scenario analysis and interval number approaches, Inf. Sci., 373 (2016) 557-570.

Digital Library

[67]

M. Ryu, J. Yun, T. Miao, I.-Y. Ahn, S.-C. Choi, J. Kim, Design and implementation of a connected farm for smart farming system, in: In Sensors, IEE, 2015, pp. 1-4.

[68]

Sales, N., Remdios, O., Arsenio, A., 2015. Wireless sensor and actuator system for smart irrigation on the cloud. In: 2nd World Forum on Internet of Things (WF-IoT). IEEE, pp. 693698.

Digital Library

[69]

S. Sarangi, J. Umadikar, S. Kar, Automation of agriculture support systems using Wisekar: case study of a crop-disease advisory service, Comput. Electron. Agric., 122 (2016) 200-210.

Digital Library

[70]

Saville, R., Hatanaka, K., Wada, M., 2015. ICT application of real-time monitoring and estimation system for set-net fishery. In: OCEANS, pp. 15.

[71]

S.A. Sawant, J. Adinarayana, S.S. Durbha, KrishiSense: a semantically aware web enabled wireless sensor network system for precision agriculture applications, in: Geoscience and Remote Sensing Symposium, IEEE, 2014, pp. 4090-4093.

[72]

F.K. Shaikh, S. Zeadally, Energy harvesting in wireless sensor networks: a comprehensive review, Renew. Sustain. Energy Rev., 55 (2016) 1041-1054.

[73]

W. Shi, J. Cao, Q. Zhang, Y. Li, L. Xu, Edge computing: vision and challenges, IEEE Internet Things J., 3 (2016) 637-646.

[74]

Shuwen, W., Changli, Z., 2015. Study on farmland irrigation remote monitoring system based on ZigBee. In: International Conference on Computer and Computational Sciences (ICCCS). IEEE, pp. 193197.

[75]

Sinha, A., Shen, Z., Song, Y., Ma, H., Darrin Eide, B.-J.P.H., Wang, K., 2015a. An overview of microsoft academic service (MAS) and applications. In: 24th International Conference on World Wide Web. ACM, pp. 243246.

Digital Library

[76]

Sinha, N., Pujitha, K.E., Alex, J.S.R., 2015b. Xively Based sensing and monitoring system for IoT. In: International Conference on Computer Communication and Informatics (ICCCI), pp. 16.

[77]

R.S. Sinha, Y. Wei, S.-H. Hwang, A Survey on LPWA technology: LoRa and NB-IoT, ICT Express, 3 (2017) 14-21.

[78]

Smarsly, K., 2013. Agricultural ecosystem monitoring based on autonomous sensor systems. In: 2nd International Conference on Agro-Geoinformatics (Agro-Geoinformatics). IEEE, pp. 402-407.

[79]

Soontranon, N., Tangpattanakul, P., Srestasathiern, P., Rakwatin, P., 2014. An agricultural monitoring system: field server data collection and analysis on paddy field. In: 14th International Symposium on Communications and Information Technologies (ISCIT). IEEE, pp. 597601.

[80]

E. Sun, X. Zhang, Z. Li, The internet of things (IOT) and cloud computing (CC) based tailings dam monitoring and pre-alarm system in mines, Safety Sci., 50 (2012) 811-815.

[81]

R. Tao, S. Yang, W. Tan, C. Zhang, Secure gateway of internet of things based on AppWeb and secure sockets layer for intelligent granary management system, in: International Conference on Computer and Computing Technologies in Agriculture, Springer, 2014, pp. 78-89.

[82]

Tarange, P.H., Mevekari, R.G., Shinde, P.A., 2015. Web based automatic irrigation system using wireless sensor network and embedded linux board. In: International Conference on Circuit, Power and Computing Technologies (ICCPCT), pp. 15.

[83]

M. Torres-Ruiz, J.H. Jurez-Hiplito, M.D. Lytras, M. Moreno-Ibarra, Environmental noise sensing approach based on volunteered geographic information and spatio-temporal analysis with machine learning, in: International Conference on Computational Science and Its Applications, Springer, 2016, pp. 95-110.

[84]

Vo, T.T., Nguyen, T.D., Vo, M.T., 2013. Ubiquitous sensor network for development of climate change monitoring system based on solar power supply. In: International Conference on Advanced Technologies for Communications, pp. 121124.

[85]

J. Wang, H. Yue, Food safety pre-warning system based on data mining for a sustainable food supply Chain, Food Control, 73 (2017) 223-229.

[86]

Y. Wang, Y. Liu, C. Wang, Z. Li, X. Sheng, H.G. Lee, N. Chang, H. Yang, Storage-less and converter-less photovoltaic energy harvesting with maximum power point tracking for internet of things, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 35 (2016) 173-186.

[87]

Watthanawisuth, N., Tuantranont, A., Kerdcharoen, T., 2009. Microclimate real-time monitoring based on zigbee sensor network. In: Sensors. IEEE, pp. 18141818.

[88]

B.P. Wong, B. Kerkez, Real-time environmental sensor data: an application to water quality using web services, Environ. Modell. Software, 84 (2016) 505-517.

Digital Library

[89]

Xijun, Y., Limei, L., Lizhong, X., 2009. The application of wireless sensor network in the irrigation area automatic system. In: International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC), vol. 1. IEEE, pp. 2124.

Digital Library

[90]

Xu, J., Zhang, J., Zheng, X., Wei, X., Han, J., 2015. Wireless sensors in farmland environmental monitoring. In:International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, pp. 372379.

Digital Library

[91]

Ye, J., Chen, B., Liu, Q., Fang, Y., 2013. A precision agriculture management system based on internet of things and WebGIS. In: 21st International Conference on Geoinformatics, pp. 15.

[92]

Yoo, S.E., Kim, J.E., Kim, T., Ahn, S., Sung, J., Kim, D., (2007). A2S automated agriculture system based on WSN. In: IEEE International Symposium on Consumer Electronics, pp. 15.

[93]

Zhao, L., Zhu, X., 2015. The development of remote monitoring system for cultivation environment of pleurotus eryngii. In: International Conference on Information and Automation. IEEE, pp. 26432648.

[94]

R. Zheng, T. Zhang, Z. Liu, H. Wang, An EIoT system designed for ecological and environmental management of the Xianghe segment of chinas grand canal, Int. J. Sustain. Dev. World Ecol., 23 (2016) 372-380.

[95]

C.-J. Zou, Research and implementation of agricultural environment monitoring based on internet of things, in: 5th International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), IEEE, 2014, pp. 748-752.

Digital Library

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cover image Computers and Electronics in Agriculture

Computers and Electronics in Agriculture Volume 142, Issue PA

November 2017

437 pages

ISSN:0168-1699

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Copyright © Elsevier B.V.

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 November 2017

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Morales-García JBueno-Crespo AMartínez-España RCecilia J(2023)Data-driven evaluation of machine learning models for climate control in operational smart greenhousesJournal of Ambient Intelligence and Smart Environments10.3233/AIS-22044115:1(3-17)Online publication date: 1-Jan-2023
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Sadeghi-Niaraki A(2023)Internet of Thing (IoT) review of reviewFuture Generation Computer Systems10.1016/j.future.2023.01.016143:C(361-377)Online publication date: 1-Jun-2023
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Rimbeck MReil HStumpf-Wollersheim JLeyer M(2023)How the Internet of Things is reshaping teamworkComputers in Industry10.1016/j.compind.2023.103902148:COnline publication date: 1-Jun-2023
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Kumar AAgrawal S(2023)Challenges and opportunities for agri-fresh food supply chain management in IndiaComputers and Electronics in Agriculture10.1016/j.compag.2023.108161212:COnline publication date: 1-Sep-2023
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