IoT Based Smart Agriculture Management System

India is a land of agriculture. More than 70% of the population is involved directly or indirectly in crop production activities. This sector contributes to the Indian economy a great deal. It contributes over 17% of the total Gross Domestic Product (GDP). With the introduction of newer seed varieties, new methods of agriculture, and the use of efficient fertilizers, crop production has increased. But without using the smarter methods, the agricultural domain still remains in the backlogs. The conventional method involves a lot of human instincts which at times fail. And thus there is a need for a smarter way of crop production using Internet of Things (IoT) and Machine Learning techniques. The proposed system is a smart agriculture management system (SAMS) which is automated to help farmers to increase the crop production. The system also helps in reduction of resource wastage by adopting a technique called precision agriculture. The system uses different sensors for data acquisition to measure various environmental factors which are required for crop production. The data obtained from these sensors is visualized in the form of graphs.

I. Introduction

With the recent development in the field of IoT, Big Data, Cloud and Mobile Computing, the world is moving towards smarter implementations to real-world problems [1]. If speaking about the Indian context, agriculture happens to be the backbone of this developing nation's economy, making a transition from conventional agricultural methods to a much better and smarter method of agriculture will change the current scenario invariably. Improper maintenance of the crops leads to crop failure which in turn leads to huge loss for the farmers.