DEVELOPING AN INTEGRATED MODEL BASED ON MACHINE LEARNING AND INTERNET OF THINGS (IOT) TO FORECAST CRITICAL FACTORS TO OPTIMIZE AGRICULTURAL YIELDS

Unnati Gupta

Vol. 5, Jan-Dec 2019

Page Number: 143-151

Abstract:

As the worldwide population is increasing rapidly, so it is obvious that the demand for food also increase—likewise, nations like India whose 1/third capital originated from cultivating needs to improve the techniques for cultivating. We propose an IoT based framework, which gathers different physical elements continuously, for example, temperature, humidity, moisture and other things. This learning can be concentrated to get diagnostic bits of knowledge. We attempt to apply different cutting-edge AI methods on this clustered information to forecast the yield appropriate for given elements.

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