A Survey on Ambient Intelligence in Agricultural Technology
Despite the advances made in various new
technologies, application of these technologies for agriculture still
remains a formidable task, as it involves integration of diverse
domains for monitoring the different process involved in agricultural
management. Advances in ambient intelligence technology represents
one of the most powerful technology for increasing the yield of
agricultural crops and to mitigate the impact of water scarcity,
climatic change and methods for managing pests, weeds and diseases.
This paper proposes a GPS-assisted, machine to machine solutions
that combine information collected by multiple sensors for the
automated management of paddy crops. To maintain the economic
viability of paddy cultivation, the various techniques used in
agriculture are discussed and a novel system which uses ambient
intelligence technique is proposed in this paper. The ambient
intelligence based agricultural system gives a great scope.
[1] Diane J. Cook, Juan C. Augusto, Vikramaditya R. Jakkula “Ambient
intelligence: Technologies, applications, and opportunities”, Pervasive
and Mobile Computing (2009) 277_298, ScienceDirect.
[2] ibutton. http://www.maxim-ic.com/products/ibutton/ibuttons/
[3] Vladimir M. Koleshko, Anatolij V. Gulay, Elena V. Polynkova,
Viacheslav A. Gulay and Yauhen A. Varabei (2012). “Intelligent
Systems in Technology of Precision Agriculture and Biosafety,
Intelligent Systems”, Prof. Vladimir M. Koleshko (Ed.), ISBN: 978-953-
51-0054-6, InTech.
[4] Koleshko V. M., Gulay A. V. & Luchenok S.A. (2006), “Sensory
System for Soil Express Diagnostics in Technology of Precision
Agriculture”, Proceedings of Scientific and Practical Conference on
Sensory Electronics and Microsystem Technologies, Russia, Odessa,
June, 2006.
[5] http://www.eurekalert.org/pub_releases/2013-02/f-sa022213.php
[6] NitaBhalla “http://in.reuters.com/article/2014/09/16/foundation-indiafarming-
climate-change-idINKBN0HB19920140916”
[7] Lutful Karim, Alagan Anpalagan, Nidal Nasser, Jalal Almhana “Sensorbased
M2M Agriculture Monitoring Systems for Developing Countries:
State and Challenges”, Network Protocols and Algorithms, ISSN 1943-
3581 2013, Vol. 5, No. 3.
[8] Kim Y., Evans R.G. and Iversen W.M., “Remote Sensing and Control of
an Irrigation System Using a Distributed Wireless Sensor Network,”
Instrumentation and Measurement, IEEE Transactions on, vol.57, no.7,
pp.1379-1387, July 2008. http://dx.doi.org/10.1109/TIM.2008.917198 [9] Shock C. C., David R. J., Shock C. A., and Kimberling C. A.,
“Innovative, automatic, low-cost reading of watermark soil moisture
sensors”, in Proc. Irrig. Assoc. Tech. Conf., Falls Church, VA, 1999, pp.
147–152.
[10] Miranda F.R., Yoder R., and Wilkerson J.B., “A site-specific irrigation
control system”, presented at the ASAE Annu. Int. Meeting, Las Vegas,
NV, Jul. 27–30, 2003. doi: http://dx.doi.org/10.13031/2013.13740.
[11] Wall R.W. and King B.A., “Incorporating plug and play technology into
measurement and control systems for irrigation management”, presented
at the ASAE/CSAE Annu. Int. Meeting, Ottawa, ON, Canada, Aug. 2004.
[12] Wark T., Corke P., Sikka P., Klingbeil L., Ying Guo, Crossman, C.,
Valencia P. and Swain D.; Bishop-Hurley G., “Transforming
Agriculture through Pervasive Wireless Sensor Networks,” Pervasive
Computing, IEEE, vol.6, no.2, pp.50-57, April-June 2007.
http://dx.doi.org/10.1109/MPRV.2007.47
[13] http://southwestfarmpress.com/aggps-autopilot-links-satellites-farmtractors
[14] http://www.speakingtree.in/spiritual-blogs/seekers/selfimprovement/
swath-control-and-variable-rate-technology
[15] Christos Goumopoulos, “Pervasive Computing in Agriculture”.
[16] Prof. Samir Kumar Bandyopadhyay, Mr. Pritimoy Sanyal, “Application
of intelligent Techniques towards improvement of crop productivity”,
International Journal of Engineering Science and Technology (IJEST),
ISSN : 0975-5462 Vol. 3 No. 1 Jan 2011.
[17] Sanyal P, Bhattacharya U, Parui S.K, Bandyopadhyay S.K and Patel S,
“Color Texture Analysis of Rice Leaves to Diagnose Deficiency in the
Balance of Mineral Levels Towards Improvement of Crop Productivity”,
10th International Conference on Information Technology, National
Institute of Technology, Rourkela, India,2007, IEEE Computer Press.
[18] Yang C.C, Prasher S.O, Landry J.A, Perret J and Ramaswamy H.S,
“Recognition of weeds with image processing and their use with fuzzy
logic for precision farming”, Canadian Agricultural Engineering, Vol.
42, No. 4, 2000
[19] Pilarski, Happold T M, Pangels H, Ollis M, Fitzpatrick K and Stentz A,
“The Demeter system for automated harvesting”, Autonomous Robots,
Vol:13(1), pp: 9-20, 2002.
[20] Tian L, Slaughter D C and Norris R F, “Machine Vision Identification
Of Tomato Seedlings For Automated Weed Control”,
http://www.age.uiuc.edu/faculty/lft/papers/tomato.pdf
[21] Polder G, van der Heijden G W A M and Young I T, “Hyperspectral
Image Analysis for Measuring Ripeness of Tomatoes”, ASAE
International Meeting, 2000.
[1] Diane J. Cook, Juan C. Augusto, Vikramaditya R. Jakkula “Ambient
intelligence: Technologies, applications, and opportunities”, Pervasive
and Mobile Computing (2009) 277_298, ScienceDirect.
[2] ibutton. http://www.maxim-ic.com/products/ibutton/ibuttons/
[3] Vladimir M. Koleshko, Anatolij V. Gulay, Elena V. Polynkova,
Viacheslav A. Gulay and Yauhen A. Varabei (2012). “Intelligent
Systems in Technology of Precision Agriculture and Biosafety,
Intelligent Systems”, Prof. Vladimir M. Koleshko (Ed.), ISBN: 978-953-
51-0054-6, InTech.
[4] Koleshko V. M., Gulay A. V. & Luchenok S.A. (2006), “Sensory
System for Soil Express Diagnostics in Technology of Precision
Agriculture”, Proceedings of Scientific and Practical Conference on
Sensory Electronics and Microsystem Technologies, Russia, Odessa,
June, 2006.
[5] http://www.eurekalert.org/pub_releases/2013-02/f-sa022213.php
[6] NitaBhalla “http://in.reuters.com/article/2014/09/16/foundation-indiafarming-
climate-change-idINKBN0HB19920140916”
[7] Lutful Karim, Alagan Anpalagan, Nidal Nasser, Jalal Almhana “Sensorbased
M2M Agriculture Monitoring Systems for Developing Countries:
State and Challenges”, Network Protocols and Algorithms, ISSN 1943-
3581 2013, Vol. 5, No. 3.
[8] Kim Y., Evans R.G. and Iversen W.M., “Remote Sensing and Control of
an Irrigation System Using a Distributed Wireless Sensor Network,”
Instrumentation and Measurement, IEEE Transactions on, vol.57, no.7,
pp.1379-1387, July 2008. http://dx.doi.org/10.1109/TIM.2008.917198 [9] Shock C. C., David R. J., Shock C. A., and Kimberling C. A.,
“Innovative, automatic, low-cost reading of watermark soil moisture
sensors”, in Proc. Irrig. Assoc. Tech. Conf., Falls Church, VA, 1999, pp.
147–152.
[10] Miranda F.R., Yoder R., and Wilkerson J.B., “A site-specific irrigation
control system”, presented at the ASAE Annu. Int. Meeting, Las Vegas,
NV, Jul. 27–30, 2003. doi: http://dx.doi.org/10.13031/2013.13740.
[11] Wall R.W. and King B.A., “Incorporating plug and play technology into
measurement and control systems for irrigation management”, presented
at the ASAE/CSAE Annu. Int. Meeting, Ottawa, ON, Canada, Aug. 2004.
[12] Wark T., Corke P., Sikka P., Klingbeil L., Ying Guo, Crossman, C.,
Valencia P. and Swain D.; Bishop-Hurley G., “Transforming
Agriculture through Pervasive Wireless Sensor Networks,” Pervasive
Computing, IEEE, vol.6, no.2, pp.50-57, April-June 2007.
http://dx.doi.org/10.1109/MPRV.2007.47
[13] http://southwestfarmpress.com/aggps-autopilot-links-satellites-farmtractors
[14] http://www.speakingtree.in/spiritual-blogs/seekers/selfimprovement/
swath-control-and-variable-rate-technology
[15] Christos Goumopoulos, “Pervasive Computing in Agriculture”.
[16] Prof. Samir Kumar Bandyopadhyay, Mr. Pritimoy Sanyal, “Application
of intelligent Techniques towards improvement of crop productivity”,
International Journal of Engineering Science and Technology (IJEST),
ISSN : 0975-5462 Vol. 3 No. 1 Jan 2011.
[17] Sanyal P, Bhattacharya U, Parui S.K, Bandyopadhyay S.K and Patel S,
“Color Texture Analysis of Rice Leaves to Diagnose Deficiency in the
Balance of Mineral Levels Towards Improvement of Crop Productivity”,
10th International Conference on Information Technology, National
Institute of Technology, Rourkela, India,2007, IEEE Computer Press.
[18] Yang C.C, Prasher S.O, Landry J.A, Perret J and Ramaswamy H.S,
“Recognition of weeds with image processing and their use with fuzzy
logic for precision farming”, Canadian Agricultural Engineering, Vol.
42, No. 4, 2000
[19] Pilarski, Happold T M, Pangels H, Ollis M, Fitzpatrick K and Stentz A,
“The Demeter system for automated harvesting”, Autonomous Robots,
Vol:13(1), pp: 9-20, 2002.
[20] Tian L, Slaughter D C and Norris R F, “Machine Vision Identification
Of Tomato Seedlings For Automated Weed Control”,
http://www.age.uiuc.edu/faculty/lft/papers/tomato.pdf
[21] Polder G, van der Heijden G W A M and Young I T, “Hyperspectral
Image Analysis for Measuring Ripeness of Tomatoes”, ASAE
International Meeting, 2000.
@article{"International Journal of Biological, Life and Agricultural Sciences:70511", author = "C. Angel and S. Asha", title = "A Survey on Ambient Intelligence in Agricultural Technology", abstract = "Despite the advances made in various new
technologies, application of these technologies for agriculture still
remains a formidable task, as it involves integration of diverse
domains for monitoring the different process involved in agricultural
management. Advances in ambient intelligence technology represents
one of the most powerful technology for increasing the yield of
agricultural crops and to mitigate the impact of water scarcity,
climatic change and methods for managing pests, weeds and diseases.
This paper proposes a GPS-assisted, machine to machine solutions
that combine information collected by multiple sensors for the
automated management of paddy crops. To maintain the economic
viability of paddy cultivation, the various techniques used in
agriculture are discussed and a novel system which uses ambient
intelligence technique is proposed in this paper. The ambient
intelligence based agricultural system gives a great scope.", keywords = "Ambient Intelligence, Agricultural technology, smart
agriculture, precise farming.", volume = "9", number = "2", pages = "210-4", }
