A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics

Nowadays, the traditional database paradigm does not have enough storage for the data produced by Internet of Things (IoT) devices leads to the need of cloud storage. These data's are analyzed with the help of Big Data mining techniques. Cloud based big data analytics and the IoT technology performs an important role in the feasibility study of smart agriculture. Smart or precision agricultural systems are estimated to play an essential role in improving agriculture activities. Mobile device usage is very common by everyone, including the farmers. In that, in the daily life of farmers the Information and Communication Technologies (ICT) play a vital role to get the agricultural Information. The IoT has various applications in Digital Agriculture domain like monitoring the crop growth, selection of the fertilizer, irrigation decision support system, etc. In this paper, IoT device is used to sense the agricultural data and it is stored into the Cloud database. Cloud based Big data analysis is used to analyze the data viz. fertilizer requirements, analysis the crops, market and stock requirements for the crop. Then the prediction is performed based on data mining technique which information reaches the farmer via mobile app. Our ultimate aim is to increase the crop production and control the agricultural cost of the products using this predicted information.

I. Introduction

In the last few years many applications are being developed in the recent technologies like Internet-of-Things, Big Data, cloud and mobile computing. Nowadays, the world is moving on towards the smart world concepts such as smart cities, smart homes, smart phones etc. Agriculture plays an important role in an Indian economy. It continues to be the stay of life for the majority of the Indian populations [1]. Due to the improper maintenance, the crop becomes damaged which causes a huge loss for a farmer and hence the smart Agriculture concept was introduced. Precision agriculture is used to enhance the crop production by using the advanced technologies. It supplies the information about different environmental aspects and it helps to monitor the system. Monitoring environmental factors are not enough and complete solution to improve the yield of the crops. There are numbers of other aspects that affect the productivity to the huge level. These factors include an attack of insects and pests and are to be controlled by sprinkling the proper insecticide and pesticides for the crop. Then the birds and other wild animals are stealing the crops at the harvesting stage. So, the farmers face several problems during the cultivation and harvesting stage. The solutions for all the problems are to take care of all factors and develop an integrated system which contains technologies as given below.