مروری بر حسگرها و فناوری شبکه حسگر بی‌سیم در بهینه‏سازی مصرف آب و نهاده‌های کشاورزی

نویسندگان

1 استادیار گروه مکانیک بیوسیستم، دانشکده کشاورزی، دانشگاه بوعلی سینا، همدان، ایران

2 دانشیار گروه مکانیک بیوسیستم، دانشکده کشاورزی، دانشگاه تربیت مدرس

چکیده

حسگرها و فناوری‌های نوین در بخش صنعت رشد قابل‌توجهی داشته‌اند و در سال‌های اخیر نیز با ورود به بخش کشاورزی دقیق، تغییرات شگرفی را در این حوزه ایجاد کرده‌اند. این ابزارها و سامانه‌ها توانسته‌اند با جمع‌آوری اطلاعات بیشتر از مزارع و شرایط محیطی اطلاعات بیشتری را در اختیار کشاورزان قرار داده و امکان کنترل بهینه مصرف آب و نهاده‌ها را فراهم کنند. با توجه به قابلیت خوب فناوری شبکه حسگرهای بی‌سیم در جمع‌آوری اطلاعات و کنترل عملگرها، این فناوری توانسته جایگاه خوبی در بخش‌های نظامی، صنعتی و خانگی پیدا کند. اما به دلیل نبود اطلاعات کافی در مورد حسگرها و فناوری‌های نوین در حوزه کشاورزی، ممکن است کاربرد آن‌ها در بخش کشاورزی ایران موردتوجه واقع نشده و دیرتر بکار گرفته شوند. بنابراین این مقاله سعی دارد حسگرها و سامانه‌های نوین موجود در بخش کشاورزی را معرفی کرده و فناوری مهم حسگر بی‌سیم، مزایا، محدودیت‌ها و کاربرد آن در حوزه کشاورزی را به‌طور مفصل موردبررسی قرار دهد.

کلیدواژه‌ها


عنوان مقاله [English]

Using sensors and wireless sensor network technology for optimizing agricultural inputs

نویسندگان [English]

  • Hossein Bagherpour 1
  • Hosna Mohamadi Monavar 1
  • Saeed Minaei 2
1 Department of Biosystems Engineering, Bu-Ali Sina University, Hamedan, Iran
2 Biosystems Engineering Department, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran.
چکیده [English]

Sensors and new technologies such as wireless sensor networks have developed significantly in the industrial sector and recently have been caused dramatic changes in the precision farming area. Using these technologies and instruments, more information will be gathered from field condition and it is possible to control inputs, efficiently. Considering wireless sensor network capability in data collection and controlling of the actuators, this technology has attracted many customers in the domestic, industrial and military sectors. But due to lack of sufficient information on sensors and new technologies, they have not been used in Iran’s agriculture. So this paper tries to introduce sensors and modern technologies that have been used in agriculture and also to investigate advantages and limitations of the WSN in agriculture.

کلیدواژه‌ها [English]

  • GPS
  • irrigation
  • Precision Farming
  • Wireless Sensor Network
Aqeel-ur-Rehman, Z. A. S., Shaikh, N. A., & Islam, N. 2010. An integrated framework to develop context-aware sensor grid for agriculture. Australian Journal of Basic and Applied Sciences, 4(5), 922-931.
Abbasi, A. Z., Islam, N., & Shaikh, Z. A. 2014. A review of wireless sensors and networks' applications in agriculture. Computer Standards & Interfaces, 36(2), 263-270.
Abd El-kader, S. M., & Mohammad El-Basioni, B. M. 2013. Precision farming solution in Egypt using the wireless sensor network technology. Egyptian Informatics Journal, 14(3), 221-233.
Bagherpour, H., & Mohamadi, H. 2014. Challenges and Prospects of Precision Agriculture in Iran. International Journal for Science and Emerging Technologies with Latest Trends, 17(1): 1-8.
Butler, Z., Corke, P., Peterson, R., & Rus, D. 2004. Virtual fences for controlling cows. In. International Conference on Robotics and Automation Proceedings (Vol. 5, pp. 4429-4436).
Ceken, C. 2008. An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks. Computer Standards & Interfaces, 30(1), 20-31.
Cugati, S., Miller, W., & Schueller, J. 2003. Automation concepts for the variable rate fertilizer applicator for tree farming. In The Proceedings of the 4th European Conference in Precision Agriculture, Berlin, Germany, June (pp. 14-19).
 
مروری بر حسگرها و فناوری شبکه حسگر بی‌سیم....67
 
 
  Candido, A., Cicirelli, F., Furfaro, A., & Nigro, L. 2007. Embedded real-time system for climate control in a complex greenhouse. International agrophysics, 21(1), 17-26.
Chaudhary, D. D., Nayse, S. P., & Waghmare, L. M. 2011. Application of wireless sensor networks for greenhouse parameter control in precision agriculture. International Journal of Wireless & Mobile Networks (IJWMN), 3(1), 140-149.
Chomazkti, S.A.N., Sadat, F.S. 2013. Design and fabrication of a wireless sensor network in agriculture field. 5th national congress on Agr. Machinery and mechanization. Mashhad, Iran. In Persian.
Damas, M., Prados, A. M., Gómez, F., & Olivares, G. 2001. HidroBus< sup>®</sup> system: fieldbus for integrated management of extensive areas of irrigated land. Microprocessors and Microsystems, 25(3), 177-184.
Evans, R., & Bergman, J. 2003. Relationships between cropping sequences and irrigation frequency under self-propelled irrigation systems in the Northern Great Plains (NGP). USDA Annual Report. Project, 5436-13210.
Gonda, L., & Cugnasca, C. E. 2006. A proposal of greenhouse control using wireless sensor networks. In Proceedings of 4thWorld Congress Conference on Computers in Agriculture and Natural Resources, Orlando, Florida, USA.
He, J., Wang, J., He, D., Dong, J., & Wang, Y. (2011). The design and implementation of an integrated optimal fertilization decision support system. Mathematical and Computer Modelling, 54(3), 1167-1174.
Kim, Y., Evans, R. G., & Iversen, W. M. 2008. Remote sensing and control of an irrigation system using a distributed wireless sensor network. Instrumentation and Measurement, IEEE Transactions on, 57(7), 1379-1387.
Kim, Y., & Evans, R. G. 2009. Software design for wireless sensor-based site-specific irrigation. Computers and electronics in agriculture, 66(2), 159-165.
Larijani, K. M. 2005. Iran’s water crisis: inducers, challenges and counter-measures.In ERSA 45th congress of the European regional science association.Vrije University, Amsterdam, The Netherlands.
López, J. A., Garcia-Sanchez, A. J., Soto, F., Iborra, A., Garcia-Sanchez, F., & Garcia-Haro, J. (2011). Design and validation of a wireless sensor network architecture for precision horticulture applications. Precision Agriculture, 12(2), 280-295.
Loghavi. (2002). The precision farming guide for agriculturists. Shiraz university press. In Persian.
Motiee, H., Monouchehri, G. H., & Tabatabai, M. R. M. 2001.Water crisis in Iran, codification and strategies in urban water. In Proceedings of the Workshops held at the UNESCO Symposium, Technical documents in Hydrology No. 45, 55-62.
Morais, R., Valente, A., & Serôdio, C. (2005). A wireless sensor network for smart irrigation and environmental monitoring: A position article. In 5th European federation for information technology in agriculture, food and environement and 3rd world congress on computers in agriculture and natural resources (EFITA/WCCA) (pp. 845-850).
Nadimi, E. S., Søgaard, H. T., Bak, T., & Oudshoorn, F. W. (2008). ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass. Computers and electronics in agriculture, 61(2), 79-87.
 Shaikh, Z. A., Yousuf, H., Nawaz, F., Kirmani, M., & Kiran, S. (2010). Crop irrigation control using wireless sensor and actuator network (wsan). In Information and Emerging Technologies (ICIET), International Conference on IEEE (pp. 1-5).
Siuli Roy, A. D., & Bandyopadhyay, S. (2008). Agro-sense: Precision agriculture using sensor-based wireless mesh networks. In Innovations in NGN: Future Network and Services. First ITU-T Kaleidoscope Academic Conference, 383-388.
Tian, L., Reid, J. F., & Hummel, J. W. (1999). Development of a precision sprayer for site-specific weed management. Transactions of the ASAE-American Society of Agricultural Engineers, 42(4), 893-902.
Trimble company. (2014 Sep). Trimble Agriculture. Retrieved september 22, 2014, from http://www.trimble.com.
Turner, L. W., Udal, M. C., Larson, B. T., & Shearer, S. A. (2000). Monitoring cattle behavior and pasture use with GPS and GIS. Canadian Journal of Animal Science, 80(3), 405-413
Wark, T., Corke, P., Sikka, P., Klingbeil, L., Guo, Y., Crossman, C. & Bishop-Hurley, G. (2007). Transforming agriculture through pervasive wireless sensor networks. Pervasive Computing, IEEE, 6(2), 50-57.