Smart Agriculture: A Novel Method for Real Time Monitoring and Plant Resource Management Using IoT

Abstract

India is a country whose onethird of National Capital Income comes from agriculture. Indian Agricultural field is shrinking gradually. It is affecting the production ability of the ecology. There is a crucial requisite to resolve these issues the sphere of agriculture, rejuvenate its dynamism and bring it back to higher productivity rate. The use of good farming techniques will enhance the crop yield, whereas at the same time generating additional output from a similar quantity of input. The technical advancements that are done in the agricultural sector in India is comparatively less than other developed countries. Growers require information from preparing land to taking yield from the field to make lucrative decisions. The Internet of Things (IoT), is a latest form of technology on making influence on different areas of day to day activities of human life around the world. One of the standards which can make use of the benefits of IoT is Precision Agriculture. It can optimize, quality ofcrops, abate harmful effects on environment, optimize efficiency and consistency in production across farmlands. The main issue that is prevailing in the current scenario is the utilisation of the resources like water, nutrition needed for plants, man-power which can be effectively solved using the vast possibilities of Internet of Things. Our proposed Smart Agriculture System (Agriot) is capable of analysing the agriculture environment and make proper changes to preserve its competence. ‘Agriot’ deals with common issues come across farmers in farming, such as, moisture level, temperature, humidity, pH, and nutrient support. The system includes of many sensors and automation devices. It is accustomed boost the productivity of ancient farming by providing ideal resources and atmosphere required for the plant growth and to cut back the price. The system proposed collects different data from the agriculture field and stores it in back-end, which is based on cloud storage. It is then processed and analysed and the result is send to front end to give real time information on the plant growth and the environment. A prototype of the proposed system has created to give a demo of advantages of the system. The projected wireless mobile mechanism has been tested within the fields, readings are monitored and satisfactory results are determined, that indicate that this method is extremely abundant helpful for good agricultural systems. Our system aims to meet the drawbacks of practicing methods of agriculture by optimizing the resources required for plant growth and reducing labour growth.