A Review for Investigation on soil features using IoT and ML

Abstract

The Internet of Things (IoT) is a suite of connected devices that collect and share information. On the other side, machine learning (ML) facilitates learning. The combination of IoT and ML can open new opportunities for developing innovative and essential applications to support different complex and large applications. That offers monitoring and automation involved in agricultural activities. In this paper, the recent contributions based on IoT and ML in the agriculture sector is explored. In this context, a review of existing work has been provided. Then the area of work, employment type, and involved technologies have been discussed. Based on this investigative study the key objectives have been highlighted for design and development, which will help to empower the farmers by improving crop production yield and resource management. In addition, a proposal based on IoT and ML technology has been also provided for future development. The aim of this proposal is to suggest and develop an automated system, which becomes a helping hand towards the farmers. As opposed to traditional farming where the same crop is grown on the same field year after year, the precise results provided by the machine learning algorithm sense leads to better results and different crops can be grown on the same field because there are different information such as nitrogen level, ph level, and moisture level.