Data Acqusition and Monitoring system in Agriculture Field

Abstract

Feeding of the world in the 21st century is the biggest challenge, especially for smart farm business. As the development of Internet of Things, massive amount of sensors are supposed to be developed as the public infrastructure, Irrigation, Agriculture automation. With the development of in-depth applications in IOT, service discovery and crop growth monitoring and selection,scalability,irrigation decision support, these cases are important as powerful semantic features and challenges to the end users. To handle this challenges, here we are attempting to develop the model which includes Database of the sensor. Due to challenges of interoperability, data analysis, research, just naming few. Here we are attempting to prove the application of efficiency in Digital Agriculture use case. In this literature review number of use cases and implementations have been studied to derive a subtle pattern of applicability in digital agriculture and at the end a scheme is proposed to implement smart Agriculture use case. In this paper no of use cases and implementations have been studied to derive a subtle pattern of applicability in digital agriculture and and we proposed to implement Smart Agriculture monitoring and Data Acquisitions system application to exploit the software paradigm privileges. Here I have to use different technologies like RF, Bluetooth, Wi-Fi and Xbee.here I have to compare those technologies with different sensors create wireless sensor network and create Database which stores the data.