Abstract
Greenhouses are managed space setting to grow plants. In order to understand the majority of plant growth, continuous monitoring and control of environmental parameters such as temperature, humidity, soil moisture, and light are crucial for the greenhouse system. Main theme of this project is to observe and measure the various parameters such as temperature, humidity, light intensity, and soil moisture of the crop/plants. Maintaining constant/specific environment is requirement of a particular crop or plants. Temperature, humidity, light intensity, and soil moist are measured with the help DHT11, light dependent resistor (LDR), and soil moisture sensor, respectively. All environmental parameters are dispatched to android cell phone via online. Using cloud, we can observe and store the parameter details. All farmers can control their greenhouses from any place by understanding the status of their greenhouse parameters at any time and so they can control actuators (cooling fan, exhaust fan, water pump, artificial gentle, and motor pump) to regulate environmental parameters. So, the person can monitor parameters by cloud.
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References
J. Azevedo, F. Santos, M. Rodrigues, L. Aguiar, Dozing ZigBee networks at the application layer. IET Wirel. Sens. Syst. 4(1), 35–41 (2013)
P. Chen, B. Liu, Advancement of the CAN Transport Based Intelligent Greenhouse Control System[C] (2010 International Conference on Computer Application and System Modeling, 2010), pp. V10-631–V10-644
X. Geng et al., A Mobile greenhouse environment monitoring system based on the internet of things. IEEE Access 7, 135832–135844 (2019). https://doi.org/10.1109/ACCESS.2019.2941521
X.Y. Gong, S. Rudi, C.A. Lehmeier, Atmospheric CO2 mole portion influences stand-scale carbon use effectiveness of sunflower by invigorating breath in light. Plant Cell. Environ. 40(3), 401–412 (2017)
M. Hanggoro, A. Putra, R. Reynaldo, R.F. Sari, Green House Monitoring and Controlling Using Android Mobile Application (2013 International Conference on QiR, Yogyakarta, 2013), pp. 79–85. https://doi.org/10.1109/QiR.2013.6632541
N. Kitpo, Y. Kugai, M. Inoue, T. Yokemura, S. Satomura, Internet of Things for Greenhouse Monitoring System Using Deep Learning and Bot Notification Services (2019 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, 2019), pp. 1–4. https://doi.org/10.1109/ICCE.2019.8661999
K.G. Kumar, K.N. Rao, Autonomous Greenhouse using Internet of Things with ThingSpeak (International Research Journal of Engineering and Technology (IRJET), 2019) e-ISSN: 2395-0056, p-ISSN: 2395-0072
S. Li, Research on Intelligent Monitoring System of Greenhouse Intensity and CO2 Concentration Based on STM32, vol 2018 (IEEE International Conference on Mechatronics and Automation (ICMA), Changchun, 2018), pp. 666–670. https://doi.org/10.1109/ICMA.2018.8484450
Z. Lihong, S. Lei, Estimation and Control System of Soil Moisture of Large Greenhouse Group Based On Twofold CAN Bus (IEEE Conference Publications, 2011), pp. 518–521
O. Mirabella, M. Brischetto, A hybrid wired/wireless networking infrastructure for greenhouse management. IEEE Trans. Instrum. Meas. 60(2), 398–407 (2011). https://doi.org/10.1109/TIM.2010.2084250
R.L. Njinga, M.N. Moyo, S.Y. Abdulmaliq, Examination of essential elements for plants development utilizing instrumental neutron activation analysis. Int. J. Agron 2013, 156520 (2013)
K. Rangan, T. Vigneswaran, An Embedded Systems Way to deal with Monitor Green House (IEEE Meeting Publications, 2010), pp. 61–65
N.N.Y. Sang, N.K. Hlain, Smart Greenhouse using ThingSpeak IoT Platform. J. Comput. Appl. Res. 1(1) (2020)
F. Subahi, K.E. Bouazza, An intelligent IoT-based system design for controlling and monitoring greenhouse temperature. IEEE Access 8, 125488–125500 (2020). https://doi.org/10.1109/ACCESS.2020.3007955
P.V. Vimal, K.S. Shivaprakasha, IOT Based Greenhouse Environment Monitoring and Controlling System Using Arduino Platform (2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), Kannur, 2017), pp. 1514–1519. https://doi.org/10.1109/ICICICT1.2017.8342795
D. Visser, H.B. Pieter, G.H. Buck-Sorlin, G.W.A.M. van der Heijden, Advancing light in the nursery utilizing a 3D model of tomato and a beam tracer. Front. Plant Sci. 5(48) (2014)
G. Wenchuan, C. Hanjie, L. Ruiming, L. Jian, Z. Haihui, Nursery Monitoring System Based on Wireless Sensor Networks[J]. Trans. Chin. Soc. Agric. Mach. 41(7), 181–185 (2010)
L. Xia, L. Wenhui, S. Yixin, Greenhouse Monitoring System Design Based on MSP430 and King View (2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), Hefei, 2017), pp. 111–114. https://doi.org/10.1109/YAC.2017.7967388
X. Xing, J. Song, L. Lin, M. Tian, Z. Lei, Development of Intelligent Information Monitoring System in Greenhouse Based on Wireless Sensor Network (2017 4th International Conference on Information Science and Control Engineering (ICISCE), Changsha, 2017), pp. 970–974. https://doi.org/10.1109/ICISCE.2017.205
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. R, A., Priya, G., Nishanth, S., Sai, P., Kumar, V. (2024). Smart IoT-Based Greenhouse Monitoring System . In: Gunjan, V.K., Ansari, M.D., Usman, M., Nguyen, T. (eds) Modern Approaches in IoT and Machine Learning for Cyber Security. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-031-09955-7_15
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