Open Access Open Access  Restricted Access Subscription Access

Automatic Monitoring of Soil Moisture and Controlling of Irrigation System


Affiliations
1 Department of EEE, Kumaraguru College of Technology, Coimbatore, India
 

In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.

Keywords

Drip Irrigation, Data Logger, Fertilizer, Hotspot, Multiplexer, Remote Monitoring, Soil, Sensors, ZigBee.
User
Notifications
Font Size

  • . Abreu VM, Pereira LS (2002). Sprinkler irrigation systems design using ISAMim. p. 022254.
  • . Baggio A (2005). Wireless sensor networks in precision agriculture. In: On-line Proc, of the Workshop on Real-World Wireless Sensor Networks, pp. 50-51.
  • . Balendonck J, Hemming J, Van Tuijl BAJ, Pardossi A, Incrocci L, Marzialetti P (2008). Sensors and Wireless Sensor Networks for Irrigation Management under Deficit Conditions (FLOWAID). International Conference on Agricultural Engineering (AgEng2008). Conf. Proc. p.19.
  • . Camilli A, Cugnasca CE, Saraiva AM, Hirakawa AR, Corrêa LP (2007). From wireless sensor to field mapping: Anatomy of an application for precision agriculture. Comput. Electron. Agric., 58: 25-36
  • . Coates RW, Delwiche M, Brown P (2005). Precision Irrigation in Orchards: Development of a Spatially Variable Micro sprinkler System. Information and Technology for Sustainable Fruit and Vegetable Production (FRUTIC). pp. 611-624.
  • . Coates RW, Delwiche MJ (2006). Solar-Powered, Wirelessly-Networked Valves for Site- Specific Irrigation. ASABE Annual International Meeting. Paper, pp. 062165
  • . Coates RW, Delwiche MJ, Brown PH (2006a). Control of individual micro sprinklers and fault detection strategies. Precision Agric.,7: 85-99.
  • . Coates RW, Delwiche MJ, Brown PH (2006b). Design of a system for individual micro sprinkler control. Trans. ASABE, 49(6): 1963-1970.
  • . Damas M, Prados AM, Gomez F, Olivares G (2001). HidroBus® system: fieldbus for integrated management of extensive areas of irrigated land. Microprocessors Microsyst. 25: 177-184.
  • . Doraiswamy PC, Hatfield JL, Jackson TJ, Akhmedov B, Prueger J, Stern A (2004). Crop condition and yield simulations using Landsat and MODIS. Remote Sensing Environ., 92: 548-559.
  • . Dursun M, Ozden S (2010). A Prototype of PC Based Remote Control of Irrigation. International Conference on Environmental Engineering and Application (ICEEA), pp. 255-258. (IEEE Catalog Number: CFP1020L-PRT)
  • . Dursun M, Ozden S (2011). Application of Solar Powered Automatic Water Pumping in Turkey.
  • International Conference on Electrical Energy and Networks (ICEEN), pp. 52-57. (IEEE Catalog Number: CFP1155M-PRT)
  • . Engman ET, Chauhan N (1995). Status of microwave soil moisture measurements with remote sensing. Remote Sensing Environ., 51: 189-198.
  • . Jackson TJ, Vine DL, Hsu AY, Oldak A, Starks P, Swift C, Isham J, Haken M (1999). Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment. IEEE Trans. Geosci. Remote Sensing, 37:2136-2151.
  • . Jacobson BK, Jones PH, Jones JW, Paramore JA (1989). Real-time greenhouse monitoring and control with an expert system. Comput. Electron. Agric., 3: 273-285.
  • . Kim Y, Evans RG (2009). Software design for wireless sensor-based site-specific irrigation.
  • Comput. Electron. Agric., 66: 159-165
  • . Kim Y, Evans RG, Iversen WM (2008). Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Trans. Instrum. Meas., 57(7): 1379-1387.
  • . Lopez RJA, Sotoa F, Suardiaza F, Sancheza P, Iborraa A, Verab JA (2009). ―Wireless Sensor Networks for precision horticulture in Southern Spain‖. Comput. Electron. Agric., 68: 25-35.
  • . Mendoza-Jasso J, Vargas GO, Miranda RC, Ramos EV, Garrido AZ, Ruiz GH (2005). FPGA-based real-time remote monitoring system. Comput. Electron. Agric., 49: 272-285.
  • . Meron M, Assaf R, Bravdo B, Wallach R, Hallel R, Levin A, Dahan I (1995). Soil sensor actuated microirrigation of apples. In: Proceedings of the 5th International Microirrigation Congress, ASABE. pp. 486-491.
  • . Miranda FR, Yoder R, Wilkerson JB (2003). A site-specific irrigation control system. ASAE Annual International Meeting. p. 031129.
  • . Miranda FR, Yoder RE, Wilkerson JB, Odhiamboc LO (2005). An autonomous controller for sitespecific management of fixed irrigation systems. Comput. Electron. Agric., 48:183-197.
  • . Ngaira JKW (2007). Impact of climate change on agriculture in Africa by 2030. Sci. Res. Essays, 2(7): 238-243.
  • . Oksanen T, Ohman M, Miettinen M, Visala A (2004). Open configurable control system for precision farming. Automation Technology for OffRoad Equipment, Proceedings, 701P1004.
  • . Panchard J, Rao S, Prabhakar TV, Jamadagni HS, Hubaux JP (2006). COMMON-Sense Net:
  • Improved Water Management for Resource-Poor Farmers via Sensor Networks. ICTD 2006 Conference.
  • . Perry CD, Dukes MD, Harrison KA (2004). Effects of variable-rate sprinkler cycling on irrigation uniformity. ASAE Annual International Meeting, p. 041117.
  • . Sezen SM, Celikel G, Yazar A, Tekin S, Kapur B (2010). Effect of irrigation management on yield and quality of tomatoes grown in different soilless media in a glasshouse. Sci. Res. Essay, 5(1): 41-48.
  • . Siuli Roy AD, Bandyopadhyays S (2008). Agrosense: Precision agriculture using sensor-based wireless mesh networks. Innovations in NGN: Future Network and Services. In: Proceedings of the First ITU-T Kaleidoscope Academic Conference (K-INGN 2008). pp. 383-388.
  • . Stone KC, Smajstrla AG, Zazueta FS (1985). Microcomputer-based data acquisition system for continuous soil water potential measurements. Soil Crop Sci. Soc. Fla. Proc., 44: 49-53.
  • . Testezlaf R, Zazueta FS, Yeager TH (1997). A realtime irrigation control system for greenhouses.
  • Appl. Eng. Agric., 13 (3): 329-332.
  • . Thelen J, Goense D, Langendoen K (2005). Radio wave propagation in potato fields. In: First Workshop on Wireless Network Measurements (co-located with WiOpt2005), pp. 1-4.
  • . Torre-Neto A, Schueller JK, Haman DZ (2000). Networked sensing and valve actuation for spatially-variable microsprinkler irrigation. ASAE Annual International Meeting. pp. 001158.
  • . Ulaby FT, Dubois PC, Zyl JJV (1996). Radar mapping of surface soil moisture. J. Hydrol., 184: 57-84.
  • . Vellidis G, Tucker M, Perry C, Kvien C, Bednarz C (2008). A real-time wireless smart sensor array for scheduling irrigation. Comput. Electron. Agric., 61: 44-50.
  • . Wall RW, King BA (2004). Incorporating plug and play technology into measurement and control systems for irrigation management. ASAE Annual International Meeting. pp. 042189.
  • . Wang N, Zhang N, Wang M (2006). Wireless sensors in agriculture and food industry — Recent development and future perspective. Comp.Electron. Agric., 50: 1-14.
  • . Zazueta FS, Smajstrla AG (1992). Microcomputerbased control of irrigation systems. Appl. Eng.
  • Agric., 8(5): 593-596.
  • . Manish Giri, Dnyaneshwar Natha Wavhal (2013).Automated Intelligent Wireless Drip Irrigation Using Linear Programming. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)Volume 2, Issue 1.
  • . Zhang Z (2004). Investigation of wireless sensor networks for precision agriculture. ASAE Annual International Meeting. p. 041154.

Abstract Views: 160

PDF Views: 0




  • Automatic Monitoring of Soil Moisture and Controlling of Irrigation System

Abstract Views: 160  |  PDF Views: 0

Authors

V. Kandasamy
Department of EEE, Kumaraguru College of Technology, Coimbatore, India
R. Divya
Department of EEE, Kumaraguru College of Technology, Coimbatore, India

Abstract


In past couple of decades, there is immediate growth in field of agricultural technology. Utilization of proper method of irrigation by drip is very reasonable and proficient. A various drip irrigation methods have been proposed, but they have been found to be very luxurious and dense to use. The farmer has to maintain watch on irrigation schedule in the conventional drip irrigation system, which is different for different types of crops. In remotely monitored embedded system for irrigation purposes have become a new essential for farmer to accumulate his energy, time and money and will take place only when there will be requirement of water. In this approach, the soil test for chemical constituents, water content, and salinity and fertilizer requirement data collected by wireless and processed for better drip irrigation plan. This paper reviews different monitoring systems and proposes an automatic monitoring system model using Wireless Sensor Network (WSN) which helps the farmer to improve the yield.

Keywords


Drip Irrigation, Data Logger, Fertilizer, Hotspot, Multiplexer, Remote Monitoring, Soil, Sensors, ZigBee.

References