Observation and Cloud Storage of Crop Leaf Area Index Using Wireless Sensor Network

نویسندگان

  • A. Ahamed Meeran Mydeen
  • V. Mahalakshmi
  • P. K. Dhal
چکیده

With the growing population and the ever growing demand for rain, the scientists and researchers across the globe are busy trying to find innovative ways to meet these ever surging demands in deforestation. This paper deals with the growth of forest by measuring Leaf area index (LAI). The collection of ground measurements for validating remotely sensed crop leaf area index (LAI) is labor and time intensive. This paper deals with an automatic measuring system that is designed based on a wireless sensor network (WSN) and the samples collected were examined on cloud. In order to distribute and to handle large number of data’s makes the concept of cloud computing to implement in various domains which enables limitless, usefulness on demand network access on computing resources placed at various places. The advantages like simple and effective solutions to the computing and data sharing makes the developers to apply the concept of cloud computing in their field. Keywords— Leaf Area Index, Wireless Sensor Network, Cloud Computing

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تاریخ انتشار 2015