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Journal of E-Technology

Libelium-based IoT Monitoring Solution for Precision Agriculture
Cristina Balaceanu, George Suciu1, Ioana Marcu
Research Department Beia Consult International Peroni Street, no 16, Bucharest, Romania, University Politechnica of Bucharest Splaiul Independentei No. 313, Bucharest, Romania
Abstract: The Internet of Things (IoT) is quite used in Smart Agriculture because of the use of IoT sensors that can provide information related to the agricultural fields on which the crops are growing. This paper aims to illustrate the results achieved using evolutionary technologies, i.e., IoT in precision agriculture to monitor environmental factors and to improve the efficiency of efficient crops. Based on significant characteristics of cloud computing and key techniques of IoT technology, Libelium-based IoT platform can help building up an enormous database comprising numerous agricultural production parameters. The main feature of this paper consists in outlining the monitoring of temperature, humidity of soil, relative humidity, atmospheric pressure and solar radiation in the agricultural field through sensors using the Libelium station. By means of data transmission protocol, vital information will reach farmers using Wi-Fi technology, information based on which they can decide if their crops need irrigation or not.
Keywords: Precision Agriculture, IoT, Libelium Platform, Sensors Libelium-based IoT Monitoring Solution for Precision Agriculture
DOI:https://doi.org/10.6025/jet/2019/10/1/1-9
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References:[1] Mao, Y. (2012). Meaning and mode of mobile information services (in Chinese), Information Science, 2, 2012 [2] Mantle, J.,et al. (2017). Towards a new generation of agricultural system data, models and knowledge products: Design and improvement, In: Agricultural Systems, 155, p. 255-268, July 2017. [3] Jones, J. W., et al. (2017). Towards a new generation of agricultural system models, data, and knowledge products: state of agricultural systems science, Agricultural Systems, 155 p. 269-288, 2017 [4] Janssen, S., et al. (2017). Towards a new generation of agricultural system data, models and knowledge products: Information and communication technology, Agricultural Systems, 155, p. 200-212, 2017. [5] Zulkifli, C. Z., Noor, N. N. (2017). Wireless Sensor Network and Internet of Things (IoT) Solution in Agriculture, Pertanika Journal of Science and Technology, 25 (1) 91-99, Jan. 2017. [6] Culman, M, et al (2015). A review of Wireless Sensor Networks for crop field monitoring and considerations for its application in Colombian agriculture, In: Second International Congress of Mechanical Engineering and Agricultural Science (CIIMCA 2015), Colombia, 2015. [7] What is the Internet of Things (IoT) Homepage https://www.techopedia.com/definition/28247/internet-of-things-iot, accessed March 15th, 2019; [8] John Deere Homepage: https://www.deere.com/en/index.html, accesed March 15th, 2019 [9] Lee, I., Lee, K. (2015). Applications, investments, and challenges for enterprises. Business Horizons, 58 (4) 431-440. [10] Farmbot, Homepage https://farm.bot/, accessed March 16th, 2019 8 Journal of E - Technology Volume 10 Number 1 February 2019 [11] Joshi, I., et al., (2017). Machine Learning Based Cloud Integrated Farming. In: International Conference on Machine Learning and Soft Computing, p. 1-6, 2017, Vietnam, 2017 [12] Gaitan, N.C., Gaitan, V. G. , Ungurean, I., (2015). A Survey on the Internet of Things Software Arhitecture, International Journal of Advanced Computer Science And Applications, 6,12, : 140-143, Published: DEC 2015, Romania, . [13] Mekala, M. S., Viswanathan, P., (2017). A novel technology for smart agriculture based on IoT with cloud computing, In: 2017 International Conference On I-SMAC (IOT In Social, Mobile, Analytics And Cloud) (I-SMAC), 75-82, India, 2017. [14] Alahi, M. E. E., Xie, L., Mukhopadhyay, S., Burkitt, L., (2017). A temperature compensated smart nitrate-sensor for agricultural industry, IEEE Transactions on Industrial Electronics, 64, 9, 7333-7341, SEP 2017,. [15] Markovic, D., Koprivica, R., Pesovic, U., Ranic, S., (2015). Application of IoT in monitoring and controlling agricultural production, : Acta Agriculturae Serbica 12 (40) 145-153. [16] Page, K., Dang, Y., Dalal, R., (2013). Impacts of conservation tillage on soil quality, including soil-borne crop diseases, with a focus on semi-arid grain cropping systems, In: Australasian Plant Pathology, 42 (3) 363-377. [17] Gayatri, M. K., Jayasakthi, J., Mala, G. S. A. (2015). Providing Smart Agricultural Solutions to Farmers for better yielding using IoT, In: 2015 IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR), 40-43. [18] Perles, A., et al. (2018), An energy-efficient internet of things (IoT) architecture for preventive conservation of cultural heritage, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 81, 566-581. [19] Mohanraj, I., Ashokumar, K., Naren, J., (2016). Field Monitoring and Automation using IOT in Agriculture Domain, In: Proceedings of The 6th International Conference On Advances In: Computing and Communications, Book Series: Procedia Computer Science, 93, 931-939, India, 2016. [20] Ray, P. P., (2016). Internet of Things cloud enabled MISSENARD index measurement for indoor occupants, MEASUREMENT, 92, 157-165. [21] Mekala, M.S., Viswanathan, P., (2019). CLAY-MIST: IoT-Cloud Enabled CMM index for Smart Agriculture Monitoring System, MEASUREMENT, 134, 236-244 2018, February 2019. [22] Nakutis, Z., et al. (2019). Remote Agriculture Automation Using Wireless Link and IoT Gateway Infrastructure, In: 26th International Workshop on Database and Expert Systems Applications (DEXA), Electronic 99- 103, Spain, 2015. [23] Libelium technology, http://libelium.com/downloads/training/webinar_smart_agriculture_libelium_29_06_2017.pdf, accesed March 20th, 2019 [24] http://www.libelium.com/libeliumworld/agriculture/, accesed March 20th, 2019 [25] Holman, I. P., Brown, C., Janes, V., Sandars, D. (2017). Can we be certain about future land use change in Europe? A multiscenario, integrated-assessment analysis, Agricultural Systems, 151, 126–135. [26] Khatri-Chhetri, A., Aggarwal, P. K., Joshi, P. K., Vyas, S. (2017). Farmers’ prioritization of climate-smart agriculture (CSA) technologies, In: Agricultural Systems, 151, 184-191. [27] Kissoon, D., Deerpaul, H., Mungur, A., (2017). A Smart Irrigation and Monitoring System. In: International Journal of Computer Applications (0975 – 8887), 163 (8), f Mauritius, April 2017. [28] Nuutinen, M., Schneidman, J. M., Schnetzer, J. (2017). Irrigation in Climate-Smart Agriculture – Challenges and Responses, Webminar, Rome, Italy, June/July 2017. [29] Walter, A., Fingerb, R., Huberb, R., Buchmanna, N., (2017). Smart farming is key to developing sustainable agriculture, Proceedings of The National Academy of Sciences of The United States of America, 114, 24 6148-6150, DOI: 10.1073/pnas. Journal of E - Technology Volume 10 Number 1 February 2019 9 1707462114, WOS:000403179300025 [30] Pierpaoli, E., Carli, G., Pignatti, E., Canavari, M., (2013). Drivers of Precision Agriculture Technologies Adoption: A Literature Review, In: 6th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2013), Book Series: Procedia Technology, 8, p 61-69, Greece, DOI: 10.1016/j.protcy.2013.11.010, WOS:000335401400010.

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