Green Sense: A Smart Assistant for Agriculture Management using IoT and Deep Learning

The Internet of Things (IoT) has the ability to transform the way in which people practice agriculture today. The recent advancements in the field of ultra-low power microcontrollers and sensors make the designing of these efficient systems possible. Similarly, developments in the field of Convolution Neural Networks also enabled developers to achieve state-of-the-art results in no time with fewer lines of code and limited resources as compared to a few years ago, one of them being image classification for plant diseases based on the leaves. In this work, various agricultural establishments are analyzed to design a device which offers a solution to some of the common problems faced in the field using IoT and Deep Learning (DL) deployment. Thus the aim is to develop a smart assistant to augment the lives of the farmers by making their lives easier.