Janelli M. Mendez, Vol. 1, No. 1, pp. 41-45, Mar. 2019
10.22662/IJASC.2019.1.1.041, Full Text:
Keywords: Frost Prediction, Internet of Things, Sensor Parameters, Microclimate, Arduino, Benguet.

Abstract

Background/Objectives: Severe atmospheric phenomenon decreases agricultural productivity. Recent years have witnessed a confusion of IoT answers helpful to varied application domain names. This paper presents an occult IoT observation post platform for good farming. This paper presents an occult IoT observation post platform for good farming. Methods/Statistical analysis: Specifically, the researcher tends to design a frost protection system with early warning system that collects from the deployed devices on the farmland in time period and provides frost forecasts and an early warning for the farmers using SMS based and Web-based monitoring for the weather stations. Findings: The planned system will effectively facilitate boost agricultural productivity by providing farmers with a lot of accurate frost forecast, thereby reducing the chance of frost harm. Improvements/Applications: The proposed framework is made by three parts, the data acquisition network, the climate figure service which goes about as a complementary source of data and the data processing framework. For the data acquisition network, an initial prototype has been built, deployed and tested in a real plot.

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