Now-a-days a crucial development of advanced technologies leads a world in an innovative manner as well as the technical development creates new ideas to make the manual work more smarter compare to the regular perspectives. The Internet of Things (IoT) is the powerful medium, in which it incorporates many commercial and non-commercial organization boundaries into it. Many applications and smart devices adopts the purpose of Internet of Things to provide the range free communication services without any delay. In other case, agriculture and farming is the most important and food is the basic need for every living being, in which the agriculture remunerates the food to all. So, agriculture is considered to be the backbone of any country as well as it plays a vital role in country's economy. However, the cultural differences leads many people to come out from the field of agriculture and leads a work free life as well as many people in villages want to deviate and relocate their presence from there to cities. Due to this kinds of reasons the nature of agriculture is down and many people are not interested to do such things. This paper is intended to motivate the nature of agriculture by doing it in a smart way without any hurdles as well as this paper introduce a new methodology called Intelligent Crop Monitoring Scheme (ICMS), in which it integrates many unique approaches to provide ultimate support to farmers to do agriculture without any complexities even from a remote place as well. The major integrations bounding with this proposed approach of ICMS are Internet of Things (IoT), Deep Machine Learning Principles with effective prediction strategies and emergency alerting port. These all are integrated together over the proposed approach and provides the good outcome in results as well as the proposed approach of ICMS assures the accuracy levels of predictions. This system place a small smart device over the agricultural field, in which the device is interconnected with internet by using Internet of Things to accumulate the data and placed it into the global server for monitoring. The details of the smart device and the specified details are clearly described over the following summaries. For all the proposed approach eliminates the hurdle in agriculture field and provides efficiency to do such things in easy way without any complexity.