Abstract
The use of telemetry systems in SMART agriculture is an innovative approach which consists in the implementation of an information system able to provide data on irrigation parameters throughout a year, also taking into consideration other meteorological parameters. The need for a telemetry system for irrigation is emphasized by the market’s interest in having access to fully automated monitoring and automation solutions for energy efficient and cost-effective agricultural crops. This paper aims to present a telemetry system for monitoring crops with an improved architecture from the point of view of very low energy consumption, low management costs, scalability, forecasting functions, and diagnosis. IoT devices are needed in the agriculture sector to monitor plant growth. This paper also brings to attention an analysis performed with an embedded implemented system. Measured data (collected using ADCON station) include air temperatures; relative humidity and soil temperature. These data are visualized and accessed on the IoT platform using an Internet connection. The ADCON station transmits data from the crop area where it is installed.
Measurements are performed considering energy efficiency criteria and the technologies available on the market. Enlargement facilities lead to an important technical impact and a high potential for marketing.
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Nelson, M.C., et al.: Climate challenges, vulnerabilities, and food security. Proc. Natl. Acad. Sci. U.S.A. 113(2), 298–303 (2016). https://doi.org/10.1073/pnas.1506494113
Rossati, A.: Global warming and its health impact. Int. J. Occup. Environ. Med. 8(1), 7–20 (2017). https://doi.org/10.15171/ijoem.2017.963
Klomp, J., Hoogezand, B.: Natural disasters and agricultural protection: a panel data analysis. World Dev. 104, 404–417 (2018)
Shelia, V., et al.: A multi-scale and multi-model gridded framework for forecasting crop production, risk analysis, and climate change impact studies. Environ. Model Softw. 115, 144–154 (2019). https://doi.org/10.1016/j.envsoft.2019.02.006
Suciu, G., Bezdedeanu, L., Vasilescu, A., Suciu, V.: Unified intelligent water management using cyberinfrastructures based on cloud computing and IoT. In: 21st International Conference on Control Systems and Computer Science (CSCS), pp. 606–611, Romania (2017). https://doi.org/10.1109/cscs.2017.92
Kamienski, C., et al.: Smart water management platform: IoT-based precision irrigation for agriculture. Sensors 19(2), 276 (2019)
Kapoor, A., Bhat, S.I., Shidnal, S., Mehra, A.: Implementation of IoT (Internet of Things) and image processing in smart agriculture. In: 1st IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), WOS: 000390719100005, India, pp. 21–26 (2016)
Jianbang, L., Shuxue, Z., Aihua, L., Ye, Y.: Application of Internet of Things in weather modification service in Anhui Province. Meteorol. Sci. Technol. 42, 1143–1146 (2014)
India set to become water scarce by 2025: report, Mumbai. http://www.thehindu.com/. Accessed 9 Apr 2019
Roopaei, M., Rad, P., Choo, K.-K.R.: Cloud of things in smart agriculture: intelligent irrigation monitoring by thermal imaging. IEEE Cloud Comput. 4(1), 10–15 (2017)
Chaudhry, S., Garg, S.: Smart irrigation techniques for water resource management. In: Smart Farming Technologies for Sustainable Agricultural Development. Advances in Environmental Engineering and Green Technologies, WOS: 000461277400011, pp. 196–219 (2019)
Prathibha, S.R., Hongal, A., Jyothi, M.P.: IoT based monitoring system in smart agriculture. In: 1st IEEE International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT), pp. 81–84, India (2017)
Rajalakshmi, P., Mahalakshmi, S.D.: IoT based crop-field monitoring and irrigation automation. In: 10th International Conference on Intelligent Systems and Control (ISCO), India, WOS: 000387435600028 (2016)
Pernapati, K.: IoT based low cost smart irrigation system. In: International Conference on Inventive Communication and Computational Technologies (ICICCT), WOS: 000456251700265, pp. 1312–1315, India (2018)
Difallah, W., Benahmed, K., Draoui, B., Bounaama, F.: Linear optimization model for efficient use of irrigation water. Int. J. Agron. 1–8 (2017). Article number: 5353648 https://doi.org/10.1155/2017/5353648
Gangadharan, A., et al.: Solar powered smart irrigation system. Int. J. Comput. Sci. Inf. Technol. Secur. 102–106 (2016)
Patil, S., Rudresh, S.M., Kallendrachari, K.M., Kiran, K., Vani, H.V.: Solar powered irrigation system with automatic control of pump and SMS alert. Int. J. Eng. Technol. Manag. Res. 3(1), 90–94 (2015)
Nikesh, G., Kawitkar, R.S.: Smart agriculture using IoT and WSN based modern technologies. Int. J. Innov. Res. Comput. Commun. Eng. 4(6), 12070–12076 (2016)
Ibrahim, M., Rawidean, M., Kassim, M., Harun, A.N.: IoT in precision agriculture applications using wireless moisture sensor network. In: IEEE Conference on Open Systems, WOS: 000411226100005, pp. 24–29, Langkawi, Malaysia (2016)
Rasul, G., Chaudhry, Q.Z., Mahmood, A., Hyder, K.W.: Effect of temperature rise on crop growth and productivity. Pak. J. Meteorol. 8(15), 53–62 (2011)
Bellingham, K.: The role of soil moisture on our climate. http://www.soilsensor.com/climatech. Accessed 10 Apr 2019
Mareels, I., Weyer, E., Ooi, S.K., Cantoni, M., Li, Y., Nair, G.: Systems engineering for irrigation systems: success and challenges. Annu. Rev. Control 29(2), 191–204 (2005). https://doi.org/10.1016/j.arcontrol.2005.08.001
Ahmad, L., Habib Kanth, R., Parvaze, S., Sheraz Mahdi, S.: Measurement of humidity. Experimental Agrometeorology: A Practical Manual, pp. 23–27. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69185-5_4
Sawant, S., Durbha, S.S., Adinarayana, J.: Interoperable agro-meteorological observation and analysis platform for precision agriculture: a case study in citrus crop water requirement estimation. Comput. Electron. Agric. 138, 175–187 (2017). https://doi.org/10.1016/j.compag.2017.04.019
Davis, S.L., Dukes, M.D.: Landscape irrigation with evapotranspiration controllers in a humid climate. Trans. ASABE 55(2), 571–580 (2012)
Prichard, T.: Vineyard irrigation systems. Raisin Production Manual University of California Agricultural and Natural Resources Publication, vol. 3393, pp. 57–63, Oakland (2000)
Jensen, M.E., Allen, R.G.: Evaporation, evapotranspiration and irrigation water requirements. ASCE Manuals and Reports on Engineering, no. 70 (2016)
Nabil, M.: Interaction of advanced scientific irrigation management with I-Scada system for efficient and sustainable production of fiber on 10,360 hectares. Resource Magazine, pp. 203–212 (2010)
OTT Hydromet. http://m.ott.com/index.php?id=93&L=2. Accessed 10 Apr 2019
Addvantage Pro. https://www.ADCON.com/products/software-285/ADCON-addvantage-6x-1485/. Accessed 12 Apr 2019
Acknowledgment
The work presented in this paper has been funded by the SmartAgro project subsidiary contract no. 8592/08.05.2018, from the NETIO project ID: P_40_270, MySmis Code: 105976.
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Balaceanu, C.M., Marcu, I., Suciu, G. (2019). Telemetry System for Smart Agriculture. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems Workshops. BIS 2019. Lecture Notes in Business Information Processing, vol 373. Springer, Cham. https://doi.org/10.1007/978-3-030-36691-9_48
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