Применение беспроводных сенсорных сетей в прецизионном сельском хозяйстве

Применение беспроводных сенсорных сетей в прецизионном сельском хозяйстве

Автор: Тарханова Олеся Юрьевна

Журнал: Проблемы информатики @problem-info

Рубрика: Прикладные информационные технологии

Статья в выпуске: 4 (37), 2017 года.

Бесплатный доступ

С учетом современных тенденций развития цифровой экономики и интернета вещей анализируются прикладные аспекты использования беспроводных сенсорных сетей (БСС) в системах контроля и наблюдения различных параметров окружающей среды. Особый интерес представляет применение БСС в прецизионном сельском хозяйстве, обозначены используемые технологии и инструментарий в рамках концепции „точного земледелия". В статье анализируется мировой опыт применения БСС в сельском хозяйстве и направления потенциальных приложений БСС в аграрной отрасли. Рассмотрены используемые типы архитектур сенсорных узлов и топологий беспроводных сенсорных сетей, технологии и стандарты беспроводной связи.

Еще

Беспроводные сенсорные сети, прецизионное (точное) сельское хозяйство, сенсорные узлы, архитектура, мониторинг, сельскохозяйственные приложения

Короткий адрес: https://sciup.org/143165277

IDR: 143165277

Список литературы Применение беспроводных сенсорных сетей в прецизионном сельском хозяйстве

  • Chen, N., Zhang, X., Wang, С. Integrated open geospatial web service enabled cyber-physical information infrastructure for precision agriculture monitoring//Comput. Electron. Agric. 2015. N 111, P. 78-91.
  • Misra, S., Krishna, P.V., Saritha, V., Agarwal, H., Shu, L., Obaidat, M.S. Efficient medium access control for cyber-physical systems with heterogeneous networks//IEEE Syst. J. 2015. N 9 (1), P. 22-30.
  • Gonzalez-de-Soto, M., Emmi, L., Benavides, C, Garcia, I., Gonzalez-de-Santos, P. Reducing air pollution with hybrid-powered robotic tractors for precision agriculture//Biosystems Engineering, 2016. V. 143, P. 79-94.
  • Maurya, S., Jain, V. 2016. Fuzzy based energy efficient sensor network protocol for precision agriculture//Computers and Electronics in Agriculture. 2016. V. 130, P. 20-37.
  • Ngo, V., Woungang, I., Anpalagan, A., 2014. A schedule-based medium access control protocol for mobile wireless sensor networks//Wirel. Commun. Mobile Comput. 2016. N 14 (6). P. 629-643.
  • Foughali, K., Fathalah, K., Ali, F. Monitoring system using web of things in precision agriculture//Procedia Computer Science. 2017. V. 110. P. 402-409.
  • Misra, S., Kar, P., Roy, A., Obaidat, M. S., 2014. Existence of dumb nodes in stationary wireless sensor network//J. Syst. Softw. 2014. N 91.P. 135-146.
  • Qu, Y., Zhu, Y., Han, W., Wang, J., Ma, M. Crop leaf area index observations with a wireless sensor network and its potential for validating remote sensing products//IEEE J. Sel. Top. Appl. Earth Observ. Rem. Sens. 2014. N 7 (2). P. 431-444.
  • Shakhov, V. Experiment Design for Parameter Estimation in Sensing Models//Springer LNCS. 2013. V. 8072. P. 151-158.
  • Riquelme, J.A.L., Soto, F., Suardiaz, J., Sanchez, P., Iborra, A., Vera, J. A. Wireless sensor networks for precision horticulture in southern Spain//Comput. Electron. Agric. 2009. N 68 (1). P. 25-35.
  • Garcia-Sanchez, A. J., Garcia-Sanchez, F., Garcia-Haro, J. Wireless sensor network deployment for integrating video-surveillance and data-monitoring in precision agriculture over distributed crops//Comput. Electron. Agric. 2011. N 75 (2). P. 288^303.
  • Camilli, A., Cugnasca, С. E., Saraiva, A. M., Hirakawa, A. R., Correa, P. L. From wireless sensors to field mapping: anatomy of an application for precision agriculture//Comput. Electron. Agric. 2007. N 58 (1). P. 25-36.
  • Behzadan, A., Anpalagan, A., Woungang, I., Ma, В., Chao, H.C. An energy efficient utility-based distributed data routing scheme for heterogeneous sensor networks//Wirel. Commun. Mobile Comput. 2014. : http://dx.doi.o DOI: rg/10.1002/wcm.2474
  • Dhurandher, S.K., Sharma, D.K., Woungang, I., Saini, A. Efficient routing based on past information to predict the future location for message passing in infrastructure-less opportunistic networks. J. Supercomput. 2014. : http://dx.doi.o DOI: rg/10.1007/sll227-014-1243-5
  • Postel, S.L. Entering an era of water scarcity: the challenges ahead//Ecol. Appl. 1999. N 10. P. 941-948.
  • Bouwer, H. Integrated water management: emerging issues and challenges//Agric. Water Manage. 2000. N 45 (3). P. 217-22K.
  • Saleth, R., Dinar, A. Institutional changes in global water sector: trends, patterns, and implications//Water Policy. 2000. N 2 (3). P. 175-199.
  • Jury, W.A., Vaux Jr., H.J. The emerging global water crisis: managing scarcity and conflict between water users//Adv. Agron. 2007. N 95. P. 1-76.
  • Falloon, P., Betts, R. Climate impacts on european agriculture and water management in the context of adaptation and mitigation -the importance of an integrated approach//Sci. Total Environ. 2010. N 408 (23). P. 5667-5687.
  • Mueller, N.D., Gerber, J.S., Johnston, M., Ray, D.K., Ramankutty, N., Foley, J. A. Closing yield gaps through nutrient and water management//Nature. 2012. N 490. P. 251-257.
  • J'son&PartnersConsulting, 2017. Communication technologies for the Internet of things in agriculture and the role of telecom operators. .: https://clck.ru/CBqQd.
  • Suprem, A., Mahalik, N., Kim, K. A review on application of technology systems, standard sand interfaces for agriculture and food sector//Comput. Stand. Interfaces. 2013. N 35 (4). P. 355-361.
  • Wang, N., Zhang, N., Wang, M. Wireless sensors in agriculture and food industry -recent development and future perspective//Comput. Electron. Agric. 2006. N 50 (1). P. 1 1 1.
  • Hart, J.K., Martinez, K. Environmental sensor networks: a revolution in the earth system science//Earth Sci. Rev. 2006. N 78 (3 1). P. 177-191.
  • Burrell, J., Brooke, Т., Beckwith, R. Vineyard computing: sensor networks in agricultural production//IEEE Pervasive Comput. 2004. N 3 (1). P. 38-45.
  • Diallo, O., Rodrigues, J.J.P. C, Sene, M., Mauri, J.L. Distributed database management techniques for wireless sensor networks//IEEE Trans. Parallel Distrib. Syst. 2015. N 26 (2). P. 604-620.
  • Srbinovska, M., Gavrovski, C, Dimcev, V., Krkoleva, A., Borozan, V. Environmental parameters monitoring in precision agriculture using wireless sensor networks//J. Clean. Prod. 2015. N 88. P. 297-307.
  • Zhao, L., He, L., Jin, X., Yu, W. Design of wireless sensor network middleware for agricultural applications//Proc. IFIP Adv. Inform. Commun. Technol. 2013. N 393. P. 270-279.
  • Karim, L., Anpalagan, A., Nasser, N., Almhana, J. Sensor-based M2M agriculture monitoring systems for developing countries: state and challenges//Netw. Protoc. Algor. 2013. N 5 (3). P. 68-86.
  • Zhang, H., Shu, L., Rodrigues, J. J., Chieh Chao, H. Solving network isolation problem in duty-cycled wireless sensor networks//Proceeding of the International Conference on Mobile Systems, Applications, and Services (MobiSys). 2013. P. 543-544.
  • Krishna, P. V., Saritha, V., Vedha, G., Bhiwal, A., Chawla, A.S., 2012. Quality-of-service-enabled ant colony-based multipath routing for mobile ad hoc networks//IET Commun. 2012. N 6 (1). P. 76-83.
  • Shakhov, V., Migov, D., Rodionov, A. Operation strategy for energy harvesting wireless sensor networks//Proceedings of the ACM 9th Int. Conf. on Ubiquitous Information Management and Communication, New York, USA. 2015.
  • Шахов В. В., Юргенсон A. H., Соколова О. Д. Моделирование воздействия атаки Black Hole на беспроводные сети//Программные продукты и системы. 2017. № 1. С. 34-39.
  • Mirabella, О., Brischetto, М. A hybrid wired/wireless networking infrastructure for greenhouse management//IEEE Trans. Instrum. Meas. 2011. N 60 (2). P. 398-407.
  • Gennaro,S., Matese, A., Gioli, В., Toscano, P., Zaldei, A., Palliotti, A., Genesio, L. Multisensor approach to assess vineyard thermal dynamics combining high-resolution unmanned aerial vehicle (UAV) remote sensing and wireless sensor network (WSN) proximal sensing//ScientiaHorticulturae. 2017. V. 221. P. 83-87.
  • Brewster, C, Roussaki, I., Kalatzis, N., Doolin, K., Ellis, K. IoT in Agriculture: Designing a Europe-Wide Large-Scale Pilot. 2017.
  • IEEE Communications Magazine. V. 55. N 9. P. 26-33.
  • Mat, I., Kassim, M., Harun, A., Yusoff, I., 2016. IoT in Precision Agriculture applications using Wireless Moisture Sensor Network//Proceedings of IEEEConference on Open Systems. 2016. P. 24-29.
  • Шахов В. В., Стрельников В. E., Нгуен В. Д. К вопросу об эффективности беспроводных сенсорных сетей//Проблемы информатики. 2014. № 2 (23). С. 28-38.
  • Мигов Д. А. Показатель надежности для беспроводных самоорганизующихся сетей//Вестник СибГУТИ. 2014. № 3 (27). С. 3-12.
  • Ojha, Т., Bera, S., Misra, S., Raghuwanshi, N.S. Dynamic duty scheduling for green sensor-cloud applications//Proceedings of IEEE CloudCom, Singapore. 2014.
  • Misra, S., Krishna, P.V., Kalaiselvan, K., Saritha, V., Obaidat, M.S. Learning automata-based QoS framework for cloud IaaS//IEEE Trans. Netw. Serv. Manage. 2014. N 11 (1). P. 15-24.
  • Cho, Y., Cho, K., Shin, C, Park, J., Lee, E. S. An agricultural expert cloud for a smart farm//Proceedings of Future Information Technology, Application, and Service. Lecture Notes in Electrical Engineering. Springer. V. 164. P. 657-662.
  • Atzori, L., Iera, A., Morabito, G. The internet of things: a survey//Comput. Netw. 2010. N 54 (15). P. 2787-2805.
  • Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M. Internet of Things (IoT): a vision, architectural elements, and future directions//Future Gener. Comput. Syst. 2013. N 29 (7). P. Hi 15-1660.
  • Moghaddam, M., Entekhabi, D., Goykhman, Y., Li, K., Liu, M., Mahajan, A., Nayyar, A., Shuman, D., Teneketzis, D. A wireless soil moisture smart sensor web using physics-based optimal control: concept and initial demonstrations//IEEE J. Sel. Top. Appl. Earth Observ. Rem. Sens. 2010. N 3 (4). P. 522 535.
  • Bastiaanssen, W. G.M., Molden, D.J., Makin, I. W. Remote sensing for irrigated agriculture: examples from research and possible applications//Agric. Water Manage. 2000. N 46 (2). P. 137-155.
  • Morais, R., Fernandes, M.A., Matos, S.G., Serodio, C, Ferreira, P. J.S.G., Reis, M.J.C.S. A ZigBee multi-powered wireless acquisition device for remote sensing applications in precision viticulture//Comput. Electron. Agric. 2008. N 62 (2). P.94-106.
  • Ye, J., Chen, В., Liu, Q., Fang, Y. A precision agriculture management system based on Internet of Things and WebGIS//Proceedings of International Conference on Geoinformatics. 2013. P. 1-5.
  • Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E. A survey on sensor networks//IEEE Commun. Mag. 2002. N 40 (8). P. 102-114.
  • Shakhov, V. On Efficiency Improvement of Energy Harvesting Wireless Sensor Networks//Processing of IEEE 39th International Conference on Telecommunications and Signal, Vienna, Austria, 2016. P. 56-59.
  • Akyildiz, I.F., Kasimoglu, I.H. Wireless sensor and actor networks: research challenges//Ad Hoc Netw. 2004. N 2 (4). P. 351-367.
  • Yick, J., Mukherjee, В., Ghosal, D. Wireless sensor network survey//Comput. Netw. 2008. N 52 (12). P. 229242330.
  • Ruiz-Garcia, L., Lunadei, L., Barreiro, P., Robla, I. A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends//Sensors. 2009. N 9 (6). P. 172K-1750.
  • Cambra, C, Diaz, J.R., Lloret, J. Deployment and performance study of an Ad Hoc network protocol for intelligent video sensing in precision agriculture//Proceedings of Ad-Hoc Networks and Wireless. 1NCS. 2015. V. 8629. Springer, Berlin Heidelberg. P. 165-175.
  • Barcelo-Ordinas, J.M., Chanet, J. P., Hou, К. M., Garcia-Vidal, J. A survey of wireless sensor technologies applied to precision agriculture//Stafford, J. (Ed.), Precision AgricultureT3. Wageningen Academic Publishers. 2013. P. 8014308.
  • Baseca, C.C., Diaz, J.R., Lloret, J. Communication Ad Hoc protocol for intelligent video sensing using AR drones//IEEE Mobile Ad-hoc and Sensor Networks (MSN). 2013. P. 119-153.
  • Diaz, S.E., Perez, J.C., Mateos, A.C., Marinescu, M.C., Guerra, B.B. A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks//Comput. Electron. Agric. 2011. N 76 (2). P. 252-265.
  • Lopez, J. A., Garcia-Sanchez, A. J., Soto, F., Iborra, A., Garcia-Sanchez, F., Garcia-Haro, J. Design and validation of a wireless sensor network architecture for precision horticulture applications//Precision Agric. 2011. N 12 (2). P. 280-295.
  • Park, D.H., Kang, B. J., Cho, K.R., Shin, C.S., Cho, S.E., Park, J.W., Yang, W.M. A study on greenhouse automatic control system based on wireless sensor network//Wirel. Pers. Commun. 2011. N 56 (1). P. 117-130.
  • Matese, A., Gennaro, S.F.D., Zaldei, A., Genesio, L., Vaccari, F.P. A wireless sensor network for precision viticulture: the NAV system//Comput. Electron. Agric.2009. N 69 (1). P. 51-58.
  • Lichtenberg, E., Majsztrik, J., Saavoss, M. rower demand for sensor controlled irrigation/Water Resour. Res. 2015. N 51. : http://dx.doi.o DOI: rg/10.1002/2014WR015807
  • Reche, A., Sendra, S., Diaz, J. R., Lloret, J. A smart M2M deployment to control the agriculture irrigation//Proceedings of Ad-hoc Networks and Wireless, LNCS. 2015. N 8629. P. 139-151.
  • Greenwood, D.J., Zhang, К., Hilton, H.W., Thompson, A.J. Opportunities for improving irrigation efficiency with quantitative models, soil water sensors and wireless technology//J. Agric. Sci. 2010. N 148. P. 1-16.
  • Gutierrez, J., Villa-Medina, J.F., Nieto-Garibay, A., Angel Porta-Gandara, M. Automated irrigation system using a wireless sensor network and GPRS module//IEEE Trans. Instrum. Meas. 2014. N 63 (1). P. 166-176.
  • Hwang, J., Shin, C., Yoe, H. A wireless sensor network-based ubiquitous paprika growth management system//Sensors. 2010. N 10. P. 11566-11589.
  • Corke, P., Wark, Т., Jurdak, R., Hu, W., Valencia, P., Moore, D. Environmental wireless sensor networks//Proc. IEEE. 2010.N 98 (11). P. 1903-1917.
  • Voulodimos, A. S., Patrikakis, C.Z., Sideridis, А. В., Ntafis, V. A., Xylouri, E.M. A complete farm management system based on animal identification using RFID technology//Comput. Electron. Agric. 2010. N 70 (2). P. 380-388.
  • Malaver, A., Motta, N., Corke, P., Gonzalez, F. Development and integration of a solar powered unmanned aerial vehicle and a wireless sensor network to monitor greenhouse gases//Sensors. 2015. N 15 (2). P. 4072-4096.
  • Yang, H., Qin, Y., Feng, G., Ci, H. Online monitoring of geological C02 storage and leakage based on wireless sensor networks//IEEE Sens. J. 2013. N 13 (2). P. 556-562.
  • Мао, X., Miao, X., He, Y., Li, X.Y., Liu, Y. CitySee: Urban CO2 monitoring with sensors//Proceedings of IEEE INFOCOM, Orlando, FL, USA. 2012. P. 1611-1619.
  • Dong, X., Vuran, M. C., Irmak, S. Autonomous precision agriculture through integration of wireless underground sensor networks with center pivot irrigation systems//Ad Hoc Netw. 2013. N 11 (7). P. 1975-1987.
  • Shanwad, U.K., Patil, V. C., Gowda, H.H. Proceeding precision farming: dreams and realities for Indian agriculture//Proceedings of Map India Conference. 2004.
  • Mondal, P., Basu, M. Adoption of precision agriculture technologies in India and in some developing countries: scope, present status and strategies//Prog. Nat. Sci. 2009. N 19 (6). P. 659-666.
  • Mondal, P., Tewari, V. K., Rao, P.N. Scope of precision agriculture in India//Proceedings of International Conference on Emerging Technologies in Agricultural and Food Engineering, Kharagpur, WB, India, 2004. P. 103.
  • Gutierrez, J., Villa-Medina, J.F., Nieto-Garibay, A., Angel Porta-Gandara, M. Automated irrigation system using a wireless sensor network and GPRS module//IEEE Trans. Instrum. Meas. 2014. N 63 (1). P. 166-176.
  • Akyildiz, I.F., Stuntebeck, E. P. Wireless underground sensor networks: research challenges//Ad Hoc Netw. 2006. N. 4 (6). P. 669-686.
  • Vuran, M.C., Akyildiz, I.F. Cross-layer packet size optimization for wireless terrestrial, underwater, and underground sensor networks//Proceedings of IEEE INFOCOM, Phoenix, AZ, USA, 2008. P. 780-788.
  • Silva, A.R., Vuran, M.C. Communication with aboveground devices in wireless underground sensor networks: an empirical study//Proceedings of IEEE International Conference on Communications, Cape Town, South Africa, 2010. P. 1-6.
  • Yu, X., Wu, P., Han, W., Zhang, Z. A survey on wireless sensor network infrastructure for agriculture//Comput. Stand. Interfaces. 2013. N 35 (1). P. 59-64.
  • Akyildiz, I.F., Kasimoglu, I.H. Wireless sensor and actor networks: research challenges//Ad Hoc Netw.'2004. N 2 (4). P. 351-367.
  • Kulkarni, R. V., Forster, A., Venayagamoorthy, G.K. Computational intelligence in wireless sensor networks: a survey//Commun. Surv. Tutorials. 2011. N 13 (1). P. 68-96.
  • Shakhov, V. Performance Evaluation of MAC Protocols in Energy Harvesting Wireless Sensor Networks//Springer LNCS. 2016. V. 9787. P. 311-352.
  • Wu, D., Cai, Y., Zhou, L., Wang, J. A cooperative communication scheme based on coalition formation game in clustered wireless sensor networks//IEEE Trans. Wirel. Commun.2012. N 11 (3). P. 1190-1200.
  • Shakhov, V. A Graph-based Method for Performance Analysis of Energy Harvesting Wireless Sensor Networks Reliability//Springer Lecture Notes in Electrical Engineering, 2016. V. 391. P. 127-132.
  • Шахов В. В., Мигов Д. А., Соколова О. Д. Беспроводные сенсорные сети, оснащенные средствами получения энергии из окружающей среды//Проблемы информатики, 2014. № 4. С. 69-79.
  • Chu, X., Sethu, Н. Cooperative topology control with adaptation for improved lifetime in wireless ad-hoc networks//Proceedings of IEEE INFOCOM, Orlando, FL, USA, 2012. P. 262-270.
  • Li, M., Li, Z., Vasilakos, A.V. A survey on topology control in wireless sensor networks: taxonomy, comparative study, and open issues//Proc. IEEE. 2013. N 101 (12). P. 2538-2557.
  • Shakhov, V. On a New Type of Attack in Wireless Sensor Networks: Depletion of Battery//Proceedings of IEEE 11th International Forum on Strategic Technology, Novosibirsk, Russia, 2016. P. 491-494.
  • Vijay, C, Bdira, E. B. A., Ibnkahla, M. Cognition in wireless sensor networks: a perspective//IEEE Sens. J. 2011. N 11 (3). P. 582-592.
  • Шахов В. В., Юргенсон A. H., Соколова О. Д. Эффективный метод генерации случайных геометрических графов для моделирования беспроводных сетей//Прикладная дискретная математика. 2016. № 4 (34). С. 99-109.
  • Misra, S., Jain, A. Policy controlled self-configuration in unattended wireless sensor networks//J. Netw. Comput. Appl. 2011. N 34 (5). P. 1530-1544.
  • Nicopolitidis, P., Papadimitriou, G.I., Pomportsis, A.S., Sarigiannidis, P. C, Obaidat, M.S. Adaptive wireless networks using learning automata. IEEE Wirel. Commun. 2011. N 18 (2). P. 75-81.
  • Shakhov, V. Protecting Wireless Sensor Networks from Energy Exhausting Attacks//Springer LNCS, 2013. V. 7971. P. 184-193.
  • Shakhov, V., Choo, H., Bang, Y. Discord model for detecting unexpected demands in mobile networks//Future Generation Сотр. Syst., 2004. V. 20 (2). P. 181-188.
  • Shakhov, V., Choo, H. An Efficient Method for Proportional Differentiated Admission Control Implementation//EURASIP Journal on Wireless Communications and Networking, 2013. V. 2011, Article ID 738386.
  • Shakhov, V., Migov, D. Reliability of Ad Hoc Networks with Imperfect Nodes//Springer LNCS, 2014. V. 8715, P. 49-58.
  • Adamala, S., Raghuwanshi, N.S., Mishra, A. Development of surface irrigation systems design and evaluation software (SIDES)//Comput. Electron. Agric. 2014. N 100. P. 100-109.
  • Westarp, S.V., Chieng, S., Schreier, H. A comparison between low-cost drip irrigation, conventional drip irrigation, and hand watering in Nepal//Agric. Water Manage. 2004. N 64. P. 143-160.
  • Kim, Y. D., Yang, Y. M., Kang, WIS., Kim, D.K. On the design of beacon based wireless sensor network for agricultural emergency monitoring systems//Comput. Stand. Interfaces. 2014. N 36 (2). P. 288-299.
  • Bhave, A.G., Mishra, A., Raghuwanshi, N. S. A combined bottom-up and topdown approach for assessment of climate change adaptation options//J. Hydrol. 2013. .: http://dx. doi.org/10.1016/j.jhydrol.2013.08.039.
  • Bhargava, К., Kashyap, A., Gonsalves, Т. A. Wireless sensor network based advisory system for apple scab prevention//Proceedings of National Conference on Communications, Kanpur, India, 2014. P. 1-6.
  • Goncalves, L.B.L., Costa, F.G., Neves, L.A., Ueyama, J., Zafalon, G.F.D., Montez, C, Pinto, A. S. R. Influence of mobility models in precision spray aided by wireless sensor networks//J. Phys.: Conf. Ser. 2015. N 574 (1).
  • Kwong, K.H., Wu, T.T., Goh, H.G., Sasloglou, K., Stephen, В., Glover, I., Shen, C, Du, W., Michie, C, Andonovic, I. Practical considerations for wireless sensor networks in cattle monitoring applications//Comput. Electron. Agric. 2012. N 81. P. 5-511.
  • Zia, H., Harris, N. R., Merrett, С V., Rivers, M., Coles, N. The impact of agricultural activities on water quality: a case for collaborative catchment-scale management using integrated wireless sensor networks//Comput. Electron Agric. 2013. N 96. P. 126-138.
  • Malaver, A., Motta, N., Corke, P., Gonzalez, F. Development and integration of a solar powered unmanned aerial vehicle and a wireless sensor network to monitor greenhouse//Sensors. 2015. N 15 (2). P. 4072-4096.
  • Misra, S., Singh, S. Localized policy-based target tracking using wireless sensor networks//ACM Trans. Sens. Netw. 2012. N 8 (3). P. 27.
  • Fukatsu, Т., Kiura, Т., Hirafuji, M. A web-based sensor network system with distributed data processing approach via web application//Comput. Stand Interfaces. 2011. N 33 (6). P. 565-573.
  • Coates, R. W., Delwiche, M. J., Broad, A., Holler, M. Wireless sensor network with irrigation valve control//Comput. Electron. Agric. 2013. N 96. P. 13-22.
  • Koch, R., Pionteck, Т., Albrecht, C, Maehle, E. An adaptive system-on-chip for network applications//Proceedings of International Parallel and Distributed Processing Symposium, Rhodes Island. 2006.
  • Karim, F., Mellan, A., Stramm, В., Nguyen, A., Abdelrahman, Т., Aydonat, U. The hyperprocessor: a template system-on-chip architecture for embedded multimedia applications//Proceedings of Workshop on Application Specific Processors, 2003. P. 66-73.
  • ZigBee Specifications, ZigBee Alliance Std. .: http://www.zigbee.org/.
  • Baronti, P., Pillai, P., Chook, V. W., Chessa, S., Gotta, A., Hu, Y. F. Wireless sensor networks: a survey on the state of the art and the 802.15.4 and ZigBee standards//Comput. Commun. 2007. N 30 (7). P. 1655-1695.
  • Guo, W., Healy, W. M., Zhou, M. Impacts of 2.4-GHz ISM band interference on IEEE 802.15.4 wireless sensor network reliability in buildings//IEEE Trans. Instrum. Meas. 2012. N 61. P. 2533-2544.
  • IEEE Standard for Information technology, 2006. Telecommunications and Information Exchange Between Systems -Local and Metropolitan Area Networks -Specific Requirements Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WTANs), Institute of Electrical and Electronics Engineers Std.
  • IEEE Standard for Information technology, 2005. Local and metropolitan area networks -Specific requirements -Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications -Amendment 8: Medium Access Control (MAC) Quality of Service Enhancements, Std.
  • IEEE Standard for Information technology, 2012. Telecommunications and Information Exchange Between Systems Local and Metropolitan Area networks-Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Institute of Electrical and Electronics Engineers Std.
  • Bluetooth Technology Special Interest Group. .: https://www.bluetooth. org/.
  • General Packet Radio Service. .: http://www.3gpp.org/.
  • D. J. Goodman and R. A. Myers. 3G cellular standards and patents//Proceedings of International Conference on Wireless Networks, Communications and Mobile Computing, 2005, P. 415-420.
  • Parkvall, S., Dahlman, E., Furuskar, A., Jading, Y., Olsson, M., Wanstedt, S., Zangi, K. 'LTE-Advanced -Evolving LTE towards IMT-Advanced//Proceedings of Vehicular Technology Conference (VTC-Fall), Calgary, ВС, 2008, P. 1-5.
  • IEEE Standard for Local and metropolitan area networks Part 16: Air Interface for Broadband Wireless Access Systems Amendment 3: Advanced Air Interface, Std., May 2011.
  • Sperling, O. Water Relations in Date Palm Trees -A Combined Approach using Water, Plant, and Atmospheric Data Water Relations in Date Palm Trees -A Combined Approach using Water, Plant, and Atmospheric Data. Ben-GurionUniversity of the Negev, Beersheva, Israel. 2013.
  • Cohen, Y., Glasner, B.B. Date palm genetic resources and utilization//Al-Khayri, M., Jain, J.,Mohan, S., Johnson, V. D. (Eds.). Date Palm Genetic Resources and Utilization. 2015. P. 265-298 DOI: 10.1007/978-94-017-9707-8
  • Sperling, O., Shapira, O., Cohen, S., Tripler, E., Schwartz, A., Lazarovitch, N., Estimating sap flux densities in date palm trees using the heat dissipation method and weighing lysimeters//Tree Physiol. 2012. N 32. P. 1171-1178. : http://dx.doi.o DOI: rg/10.1093/treephys/tps070
  • Tripler, E., Shani, U., Ben-Gal, A., Mualem, Y. Apparent steady state conditions in high resolution weighing-drainage lysimeters containing date palms grown under different salinities//Agric. Water Manage. 2012. N 107. P. 66-73. : http://dx.doi.O. 01.010 DOI: rg/10.1016/j.agwat.2012
  • Yuan Rao, Zhao-hui Jiang, Naftali Lazarovitch. Investigating signal propagation and strength distribution characteristics of wireless sensor networks in date palm orchards//Computers and Electronics in Agriculture. 2016. N 124. P. 107-120.
  • Moghaddam, M., Entekhabi, D., Goykhman, Y., Li, K., Liu, M., Mahajan, A., Nayyar, A., Shuman, D., Teneketzis, D. A wireless soil moisture smart sensor web using physics-based optimal control: concept and initial demonstrations//IEEE J.Sel. Top. Appl. Earth Observ. Rem. Sens. 2010. N 3 (4). P. 522-535.
  • Lovejoy, W. S. A survey of algorithmic methods for partially observed markov decision processes//Ann. Oper. Res. 1991. N 28 (1). P. 47-65.
  • Saha, R., Raghuwanshi, N.S., Upadhyaya, S.K., Wallender, W.W., Slaughter, D. C. Water sensors with cellular system eliminate tail water drainage in alfalfa irrigation//Calif. Agric. 2011. N 65 (4). P. 202-207.
  • Aqua Management, Inc. .: http://aquamanagement.com/vertical-solutions/ami-turfirrigation-controllers/.
  • TamoghnaOjha, SudipMisra, Narendra Singh Raghuwanshi. Wireless sensor networks for agriculture: The state-of-the-art in practice and future challenges//Computers and Electronics in Agriculture. 2015. N 118. P. 66-84.
Еще
Статья обзорная
SciUp 2024 © 2024 ©