Implementation of Wireless Sensor Networks for Irrigation Control in Three Container Nurseries

Water quality and quantity are increasingly important concerns for agricultural producers and have been recognized by governmental and nongovernmental agencies as focus areas for future regulatory efforts. In horticultural systems, and especially container production of ornamentals, irrigation management is challenging. This is primarily due to the limited volume of water available to container-grown plants after an irrigation event and the resultant need to frequently irrigate to maintain adequate soil moisture levels without causing excessive leaching. To prevent moisture stress, irrigation of container plants is often excessive, resulting in leaching and runoff of water and nutrients applied to the container substrate. For this reason, improving the application efficiency of irrigation is necessary and critical to the long-term sustainability of the commercial nursery industry. The use of soil moisture sensing technology is one method of increasing irrigation efficiency, with the on-farm studies described in this article focusing on the use of capacitance-based soil moisture sensors to both monitor and control irrigation events. Since on-farm testing of these wireless sensor networks (WSNs) to monitor and control irrigation scheduling began in 2010, WSNs have been deployed in a diverse assortment of commercial horticulture operations. In deploying these WSNs, a variety of challenges and successes have been observed. Overcoming specific challenges has fostered improved software and hardware development as well as improved grower confidence in WSNs. Additionally, growers are using WSNs in a variety of ways to fit specific needs, resulting in multiple commercial applications. Some growers use WSNs as fully functional irrigation controllers. Other growers use components of WSNs, specifically the web-based graphical user interface (GUI), to monitor grower-controlled irrigation schedules.

[1]  Erik Lichtenberg,et al.  Advancing Wireless Sensor Networks for Irrigation Management of Ornamental Crops: An Overview , 2013 .

[2]  Garry L. Grabow,et al.  Evaluation of Two Smart Irrigation Technologies in Cary, North Carolina , 2010 .

[3]  Günther Fischer,et al.  Climate change impacts on irrigation water requirements: Effects of mitigation, 1990-2080 , 2007 .

[4]  R. Beeson Modeling Actual Evapotranspiration of Viburnum odoratissimum during Production from Rooted Cuttings to Market Size Plants in 11.4-L Containers , 2010 .

[5]  H. Jones Irrigation scheduling: advantages and pitfalls of plant-based methods. , 2004, Journal of experimental botany.

[6]  M. V. Iersel,et al.  A Calibrated Time Domain Transmissometry Soil Moisture Sensor Can Be Used for Precise Automated Irrigation of Container-grown Plants , 2011 .

[7]  Scott B. Jones,et al.  Standardizing Characterization of Electromagnetic Water Content Sensors: Part 2. Evaluation of Seven Sensing Systems , 2005 .

[8]  R. Supalla,et al.  Irrigation Management Practices in Nebraska , 1996 .

[9]  R. T. Fernandez,et al.  Water conservation, growth, and water use efficiency of container-grown woody ornamentals irrigated based on daily water use , 2009 .

[10]  P. Gleick,et al.  Roadmap for sustainable water resources in southwestern North America , 2010, Proceedings of the National Academy of Sciences.

[11]  George Kantor,et al.  Wireless Sensor Network Design for Monitoring and Irrigation Control: User-centric Hardware and Software Development , 2013 .

[12]  R. Ferrarezi,et al.  Monitoring And Controlling Subirrigation With Soil Moisture Sensors: A Case Study With Hibiscus , 2011 .

[13]  Scott B. Jones,et al.  Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor , 2006 .

[14]  H. Jones Monitoring plant and soil water status: established and novel methods revisited and their relevance to studies of drought tolerance. , 2006, Journal of experimental botany.

[15]  M. V. Iersel,et al.  Water Use and Growth of Hibiscus acetosella 'Panama Red' Grown with a Soil Moisture Sensor-controlled Irrigation System , 2013 .

[16]  M. Taniguchi,et al.  Towards Sustainable Groundwater Use: Setting Long‐Term Goals, Backcasting, and Managing Adaptively , 2012, Ground water.

[17]  M. V. Iersel,et al.  Morphology and Irrigation Efficiency of Gaura lindheimeri Grown with Capacitance Sensor-controlled Irrigation , 2008 .

[18]  Erik Lichtenberg,et al.  Profitability of Sensor-based Irrigation in Greenhouse and Nursery Crops , 2013 .

[19]  R. Evans,et al.  Estimation of relative water use among ornamental landscape species , 2004 .

[20]  M. V. Iersel,et al.  Soil Moisture Sensor-Based Irrigation Reduces Water Use and Nutrient Leaching in a Commercial Nursery , 2009 .

[21]  Pute Wu,et al.  Impact of climate change and irrigation technology advancement on agricultural water use in China , 2010 .

[22]  Jerry W. Knox,et al.  Water regulation, crop production, and agricultural water management—Understanding farmer perspectives on irrigation efficiency , 2012 .

[23]  John D. Lea-Cox,et al.  Sensors for Improved Efficiency of Irrigation in Greenhouse and Nursery Production , 2013 .

[24]  P. C. Wilson,et al.  Impact of Fertigation versus Controlled-release Fertilizer Formulations on Nitrate Concentrations in Nursery Drainage Water , 2011 .

[25]  R. C. Beeson,et al.  MODELLING ACTUAL EVAPOTRANSPIRATION OF LIGUSTRUM JAPONICUM FROM ROOTED CUTTINGS TO COMMERCIALLY MARKETABLE PLANTS IN 12 LITER BLACK POLYETHYLENE CONTAINERS , 2004 .

[26]  W. Jury,et al.  The role of science in solving the world's emerging water problems. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[27]  T. Howell Enhancing Water Use Efficiency in Irrigated Agriculture , 2001 .

[28]  R. C. Beeson,et al.  EVALUATION OF A MODEL BASED ON REFERENCE CROP EVAPOTRANSPIRATION (ETO) FOR PRECISION IRRIGATION USING OVERHEAD SPRINKLERS DURING NURSERY PRODUCTION OF LIGUSTRUM JAPONICA , 2008 .