A Collaborative IOT based Agriculture Marketing Model 
Pranab Hazra1, Krishnendu Ghosh2, Pratiti Debsharma3, Soumashis Das4, Soumendu Biswas5
1Pranab Hazra*, ECE, Narula Institute of technology, Kolkata, India.
2Krishnendu Ghosh, ECE, Narula Institute of technology, Kolkata, India.
3Pratiti Debsharma, ECE, Narula Institute of technology, Kolkata, India.
4Soumashis Das, ECE, Narula Institute of technology, Kolkata, India.
5Soumendu Biswas, ECE, Narula Institute of technology, Kolkata, India.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 17, 2020. | Manuscript published on April 30, 2020. | PP: 322-325 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6532029320/2020©BEIESP | DOI: 10.35940/ijeat.C6532.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: IoT based health monitoring describes the response and clarification of the data collected from the recipient through sensor from the sources like hospitals by IoT based technology. The reading which are collected by using the appropriate sensor that would help the doctor in alternative situation to observe the recipient’s health. The values collected by the sensors from the recipients are equipped by the Raspberry Pi 3 model which are further transfer to the doctor’s database so that they can communicate with their patients and their family members through internet application and smartphones. By using this idea any doctor can monitor and view reports of his patient from anywhere in the world without physical appearance. The database consists of heart rate, blood pressure and pulse rate of any particular patient in an appropriate manner which can be easily understandable by the doctors. Further a camera can be installed in the Raspberry Pi for live monitoring which will be more efficient for some case and all the information are stored in the medical server as all the data are very sensitive for any research purpose. This medical data is accessible from anywhere in the world using internet and providing exact IP address. For any instance if the patient’s data is outstrips the normalized value it will turned an emergency alarm on for assistance. The main agenda is to provide a better treatment by regular monitoring, which will increase the standard of diagnosis and provide accurate care to the patient.
Keywords: Internet of Things (IoT), Patient Monitoring, Heart beat Sensor, Blood Pressure Sensor and emergency alert.