IoT based sustainable management of plant light requirements in vertical farming

被引：0

作者：

Bouzebiba, Hadjer ^{[1
]}

Abdelkader, Oussama Hadj ^{[1
]}

Aguiar, A. Pedro ^{[1
]}

机构：

[1] Univ Porto, Fac Engn, Res Ctr Syst & Technol SYSTEC ARISE, Porto, Portugal

来源：

2023 IEEE 9TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT | 2023年

关键词：

Internet of Things; Vertical Farming; Wireless Sensor Network; Distributed Remote Control; RPL; 6LowPAN; Plant light requirements; INTERNET; SYSTEM;

D O I：

10.1109/WF-IOT58464.2023.10539535

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the use of interconnected wireless microcontrollers in a master-slave configuration to manage the light requirements of plants produced in a multi-compartment vertical farm. The master device is responsible for the remote monitoring and control of the vertical farm whereas the slaves devices are responsible for the direct control of the plant growth conditions in the growth compartments. This configuration allows a precise distributed control and a real-time monitoring of the plant requirements in each compartment to support the decision making. The microcontrollers are connected through 6LowPAN technology and the packets transmission is managed by RPL routing protocol which was tested with different objective functions, one of them is newly proposed in this article. The network was evaluated based on its data transfer quality, its energy consumption, and its use in the proposed light management system in vertical farms.

引用

页数：6

共 33 条

[1] The digitization of agricultural industry - a systematic literature review on agriculture 4.0 [J].

Abbasi, Rabiya ;

Martinez, Pablo ;

Ahmad, Rafiq .

SMART AGRICULTURAL TECHNOLOGY, 2022, 2

[2] Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry [J].

Adao, Telmo ;

Hruska, Jonas ;

Padua, Luis ;

Bessa, Jose ;

Peres, Emanuel ;

Morais, Raul ;

Sousa, Joaquim Joao .

REMOTE SENSING, 2017, 9 (11)

[3] Precision agriculture using IoT data analytics and machine learning [J].

Akhter, Ravesa ;

Sofi, Shabir Ahmad .

JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (08) :5602-5618

[4]

Ben-Daya M., 2020, Quality Management Journal, V28, P17, DOI [10.1080/10686967.2020.1838978, DOI 10.1080/10686967.2020.1838978]

[5] Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review [J].

Boursianis, Achilles D. ;

Papadopoulou, Maria S. ;

Diamantoulakis, Panagiotis ;

Liopa-Tsakalidi, Aglaia ;

Barouchas, Pantelis ;

Salahas, George ;

Karagiannidis, George ;

Wan, Shaohua ;

Goudos, Sotirios K. .

INTERNET OF THINGS, 2022, 18

[6] DESIGNING AN INTELLIGENT GREENHOUSE MONITORING SYSTEM BASED ON THE INTERNET OF THINGS [J].

Cai, W. ;

Wen, X. ;

Tu, Q. .

APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (04) :8449-8464

[7]

Dias Raquel Margarida, 2021, Advances in Electronics, Communication and Computing. Select Proceedings of ETAEERE 2020. Lecture Notes in Electrical Engineering (LNEE 709), P653, DOI 10.1007/978-981-15-8752-8_66

[8]

Harun AN, 2013, IEEE CONF OPEN SYST, P231, DOI 10.1109/ICOS.2013.6735080

[9] A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming [J].

Islam, Nahina ;

Rashid, Md Mamunur ;

Pasandideh, Faezeh ;

Ray, Biplob ;

Moore, Steven ;

Kadel, Rajan .

SUSTAINABILITY, 2021, 13 (04) :1-20

[10] Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review [J].

Jawad, Haider Mahmood ;

Nordin, Rosdiadee ;

Gharghan, Sadik Kamel ;

Jawad, Aqeel Mahmood ;

Ismail, Mahamod .

SENSORS, 2017, 17 (08)

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