Identification of the type of agriculture suited for application of wireless sensor networks

The world’s population is expected to double by 2050; world food supply is unlikely to double by doubling the area under cultivation or by doubling the availability of water. There are other challenges too, such as decline in the number of farms and a decline in the number of agriculture workforce. Climate change is expected to further aggravate the existing situation. Therefore, for the humanity to survive agriculture has to become smart – one way is by integrating Wireless Sensor Networks (WSN) in agriculture. In this paper, we will present the application of WSN in agriculture and discuss different types of sensors, different types of WSN and their application in 13 different types of traditional agriculture. We identify the type of agriculture most suited for WSN in terms of applications. We will also review some recent applications of WSN in agriculture; identify challenges and present possible future directions.

[1]  A. Wahid,et al.  Expression of dehydrins under heat stress and their relationship with water relations of sugarcane leaves , 2007, Biologia Plantarum.

[2]  H. Velthuizen,et al.  Climate Change and Agricultural Vulnerability , 2002 .

[3]  Berend Jan van der Zwaag,et al.  Sensor Networks in the Low Lands , 2010, Sensors.

[4]  Jangwoo Park,et al.  Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System for Dew Condensation Prevention , 2011, Sensors.

[5]  R.M. White,et al.  A Sensor Classification Scheme , 1987, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[6]  David Peleg,et al.  Distributed Computing: A Locality-Sensitive Approach , 1987 .

[7]  Pai H. Chou,et al.  Eco: ultra-wearable and expandable wireless sensor platform , 2006, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06).

[8]  Chun-Shien Lu,et al.  Acquiring Authentic Data in Unattended Wireless Sensor Networks , 2010, Sensors.

[9]  Marek Miskowicz,et al.  Sampling of signals in energy domain , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.

[10]  Jeff Rose,et al.  MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms , 2005, Mob. Networks Appl..

[11]  J. Akhtar,et al.  Selection of cotton (Gossypium hirsutum L.) genotypes against NaCl stress , 2007 .

[12]  Milena Radenkovic,et al.  Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring , 2006 .

[13]  T. Mccaig,et al.  Evaluation of Techniques for Screening for Drought Resistance in Wheat 1 , 1982 .

[14]  G. Fernandez Effective selection criteria for assessing plant stress tolerance , 1992 .

[15]  J. S. Rana,et al.  Utility Biosensors for applications in Agriculture - A Review , 2010 .

[16]  Victor van Acht,et al.  4.5.2 Development of printed RFID sensor tags for smart food packaging , 2012 .

[17]  M. D. Rumbaugh,et al.  Nodulation and Acetylene Reduction by Certain Rangeland Legume Species under Field Conditions , 1981 .

[18]  D. Whittlesey Major Agricultural Regions of the Earth , 1936 .

[19]  R. Richards Variation between and within Species of Rapeseed (Brassica campestris and B. napus) in Response to Drought Stress. III* Physiological and Physicochemical Characters , 1978 .

[20]  Andreas Timm-Giel,et al.  Challenges of Applying Wireless Sensor Networks in Logistics , 2009 .

[21]  Roger Wattenhofer Sensor Networks: Distributed Algorithms Reloaded - or Revolutions? , 2006, SIROCCO.

[22]  Jaime Lloret,et al.  A Wireless Sensor Network for Vineyard Monitoring That Uses Image Processing , 2011, Sensors.

[23]  Laxman M. Waghmare,et al.  APPLICATION OF WIRELESS SENSOR NETWORKS FOR GREENHOUSE PARAMETER CONTROL IN PRECISION AGRICULTURE , 2011 .

[24]  David B Lobell,et al.  Greenhouse gas mitigation by agricultural intensification , 2010, Proceedings of the National Academy of Sciences.

[25]  J. Stark,et al.  Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit , 2001 .

[26]  N. Di Fonzo,et al.  Bound Water in Durum Wheat under Drought Stress. , 1992, Plant physiology.

[27]  Zhi Ang Eu,et al.  Wireless sensor networks powered by ambient energy harvesting (WSN-HEAP) - Survey and challenges , 2009, 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology.

[28]  J. Bruinsma BY HOW MUCH DO LAND, WATER AND CROP YIELDS NEED TO INCREASE BY 2050 ? , 2009 .

[29]  Hyun Yoe,et al.  An Implementation of Paprika Green house System Using Wireless Sensor Networks , 2010 .

[30]  J. Henshall,et al.  Behavioral aspects of electronic bull separation and mate allocation in multiple-sire mating paddocks. , 2008, Journal of animal science.

[31]  Patrick Laube Decentralized spatial data mining for geosensor networks , 2007 .

[32]  Kshitij Shinghal,et al.  INTELLIGENT HUMIDITY SENSOR FOR - WIRELESS SENSOR NETWORK AGRICULTURAL APPLICATION , 2011 .

[33]  R. W. Lau,et al.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. , 1996, Physics in medicine and biology.

[34]  D. Lawlor,et al.  Water stress inhibits plant photosynthesis by decreasing coupling factor and ATP , 1999, Nature.

[35]  D. L. Ketring,et al.  Response of Internal Tissue Water Balance of Peanut to Soil Water , 1991 .

[36]  P. Bruckner,et al.  Stress tolerance and adaptation in spring wheat , 1987 .

[37]  M. Ashraf,et al.  Water relations in different wheat [Triticum aestivum L.] genotypes under soil water deficits , 1994 .

[38]  Thang Vu Chien,et al.  A Comparative Study on Hardware Platforms for Wireless Sensor Networks , 2012 .

[39]  C. Taylor,et al.  Stern Review: The Economics of Climate Change , 2006 .

[40]  P. Gottschalk,et al.  Heat Stroke , 1912 .

[41]  Neal Patwari,et al.  Wireless Sensor Networks: Challenges and Opportunities , 2001 .

[42]  Margaret Martonosi,et al.  Hardware design experiences in ZebraNet , 2004, SenSys '04.

[43]  Tristan Ferry,et al.  Short- and long-term outcomes of heatstroke following the 2003 heat wave in Lyon, France. , 2007, Archives of internal medicine.

[44]  10 emerging technologies that will change your world , 2004, IEEE Engineering Management Review.

[45]  Francisco Rodríguez,et al.  Study of Event-based Sampling Techniques and Their Influence on Greenhouse Climate Control with Wireless Sensors Network , 2010 .

[46]  J. Boyer Plant Productivity and Environment , 1982, Science.

[47]  Dario Kriz,et al.  Amperometric determination of L-lactate based on entrapment of lactate oxidase on a transducer surface with a semi-permeable membrane using a SIRE technology based biosensor. Application: tomato paste and baby food. , 2002, Journal of agricultural and food chemistry.

[48]  Peter I. Corke,et al.  Transforming Agriculture through Pervasive Wireless Sensor Networks , 2007, IEEE Pervasive Computing.

[49]  A. Szczesniak Classification of textural characteristics , 1963 .

[50]  A. Blum,et al.  An evaluation of seed and seedling drought tolerance screening tests in wheat , 1980, Euphytica.

[51]  Peter I. Corke,et al.  Virtual fences for controlling cows , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

[52]  Jian-Kang Zhu,et al.  Salt and drought stress signal transduction in plants. , 2002, Annual review of plant biology.

[53]  M. S. Islam,et al.  Drought stress effects on water relations of wheat , 2000 .

[54]  W. Schapaugh,et al.  Stress Tolerance in Soybeans. I. Evaluation of Three Screening Techniques for Heat and Drought Tolerance 1 , 1984 .

[55]  J. V. Stafford,et al.  How wireless will change agriculture. , 2007 .