Sensor data collection and irrigation control on vegetable crop using smart phone and wireless sensor networks for smart farm

Feeding of the world in the 21st century is the biggest challenge, especially for smart farm business. The smart farm has used agriculture automation system instead of traditional agriculture. Traditional agricultural methods employed by the local people are highly sustainable, although the all inclusive cost is not cheap. Our research goal is to provide long term sustainable solution for automation of agriculture. Agriculture automation has several methods to getting data from vegetable crop like sensor for environmental measurement. Therefore, we developed a portable measurement technology including soil moisture sensor, air humidity sensor and air temperature sensor. Moreover, irrigation system using wireless sensor network has installed these sensors, with the purpose for collecting the environment data and controlling the irrigation system via smart phone. The purpose of the experiment is to find better ways of controlling an irrigation system with automatic system and manual control by smart phone. In order to control an irrigation system, we have developed the communication methodology of the wireless sensor network for collected environment data and sending control command to turn on/off irrigation system. It is successful for controlling the irrigation system and controlling the water near the vegetable roots. In this paper, we have attempted to demonstrate the automation of the irrigation system that is useful for farm business which make it comfortable than using traditional agriculture by using smart phone for monitoring and controlling the system. Accordingly, in the long-term has reduced cost as well. The experimental result shows that the accuracy of sending and receiving command control for irrigation system is 96 percent and accuracy of environment collection is 98 percent.

[1]  T. Arkebauer,et al.  The development and evaluation of a soil moisture index , 2009 .

[2]  Monika Jhuria,et al.  Image processing for smart farming: Detection of disease and fruit grading , 2013, 2013 IEEE Second International Conference on Image Information Processing (ICIIP-2013).

[3]  Wei Lin Real time monitoring of electrocardiogram through IEEE802.15.4 network , 2011, 2011 8th International Conference & Expo on Emerging Technologies for a Smarter World.

[4]  Ahmed Karmouch,et al.  Precision agriculture monitoring framework based on WSN , 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

[5]  Chong Shen,et al.  Precision agriculture monitoring system based on wireless sensor networks , 2012, ICWCA.

[6]  Jeffrey Fan,et al.  Optimal sensor placement strategy for environmental monitoring using Wireless Sensor Networks , 2010, 2010 42nd Southeastern Symposium on System Theory (SSST).

[7]  Noriko Sugimoto,et al.  Development of Knowledge Sharing System for Agriculture Application , 2013, 2013 Second IIAI International Conference on Advanced Applied Informatics.

[8]  Lejiang Guo,et al.  The realization of precision agriculture monitoring system based on wireless sensor network , 2010, 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering.

[9]  Heike Bach,et al.  The additional value of hyperspectral data for smart farming , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[10]  S. N. Singh,et al.  Optimal design of solar powered fuzzy control irrigation system for cultivation of green vegetable plants in Rural India , 2012, 2012 1st International Conference on Recent Advances in Information Technology (RAIT).

[11]  Qiang Wang,et al.  A novel soil measuring wireless sensor network , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

[12]  Asako Togari,et al.  Monitoring of soil moisture and groundwater levels using ultrasonic waves to predict slope failures , 2009, 2009 IEEE Sensors.