Internet of Things in Smart Agriculture: Intelligent Irrigation Monitoring

  Kalai Mani.A,  Girija Magesh

Gardens make up the biggest inundated yield by surface zone in North America, and convey with it an interest for more than 9 billion gallons of freshwater every day. In spite of ongoing improvements in water system control and sprinkler innovation, cutting edge water system frameworks do nothing to make up for regions of turf with heterogeneous water needs. In this work, we overcome the physical constraints of the customary water system framework with the improvement of a sprinkler hub that can detect the neighbourhood soil dampness, impart remotely, and incite its own sprinkler in view of a midway processed calendar. A model is then created to process dampness development from overflow, assimilation, and dispersion. Incorporated with an improvement system, ideal valve booking can be found for every hub in the space. In a turf territory covering more than 10,000 ft, two separate arrangements traversing a sum of 7 weeks demonstrate that MAGIC can diminish water utilization by 23.4% over customary grounds booking, and by 12.3% over condition of-the art evapo-transpiration frameworks, while significantly improving conditions for plant well being. Notwithstanding ecological, social, and medical advantages, MAGIC is appeared to restore its speculation in 16-year and a half in light of water utilization alone.

Keywords- Soil dampness, Assimilation, customary grounds booking, evapo-transpiration, MAGIC.

Unique Identification Number - IJEDR1803123
Page Number(s) - 743-750
Pubished in - Volume 6 | Issue 3 | September 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Kalai Mani.A,  Girija Magesh,   "Internet of Things in Smart Agriculture: Intelligent Irrigation Monitoring", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 3, pp.743-750, September 2018, Available at :http://www.ijedr.org/papers/IJEDR1803123.pdf