Journal article Open Access

Predictive Analysis of IoT Enabled Garden Soil Requirements using Web Services

K. Ojeswini Sesi Priya; P.V.S.S. Rashmika; K. Jamal; R. Indu Sree; T.N.S. Kruthika

Sponsor(s)
Blue Eyes Intelligence Engineering & Sciences Publication(BEIESP)

Smart gardening plays a key role in both supply and distribution of water to the plants. Plants play a key role in providing habitat and food for wild animals, human beings and regulate the water cycle. The important parameters for the quality and productivity of a plant growth are soil temperature, soil moisture, nutrients, humidity and Potential of Hydrogen (PH). Soil moisture is the main factor which is most the effective reliable way to increase yielding. The main aim of the present research work, is to sense the essentials and fulfil the needs of the plants. For the real time practice there are five different garden zones such as Patio, Front yard, Back yard, Balcony and Terrace. Switch is used to operate the solenoid valve which is instructed by the web server in communication with the cloud data base. By physical verification and plant requirements a time interval of 4 min was set in the cloud data base. Internet of things (IOT) and cloud computing are two complementary technologies which were merged with the application specific hardware design enriched with smart sensors collectively provides the data which is stored in cloud. The data stored in the cloud database is accessed using the web services. Feedback system which is used to send and receive the data that can be used for the analysis of requirements.

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