Plant Health Monitoring System and Smart Gardening using IoT

Abstract

Plant heath is the scientific framework associated with controlling pest infection and pathogen intervention. This in large scale could be helpful in managing effectiveness of field or forest. The food we eat in and the cattle we grow all have close correlation with plant health. The plant health monitoring system includes chlorophyll analysis, crop density or growth analysis and nutrient analysis using image processing technique. The proposed method monitors the plant health by Chlorophyll meter is used for identifying nutrient deficiency in plants. The existing chlorophyll meter is expensive and has many disadvantages. A low-cost chlorophyll meter is implemented and it has combined assistance of internet of things. The results are compared with that of spectrophotometer and all its enhancements are highlighted. The objective is satisfied there by introduction of low cost and less complexity. The ultrasonic sensors transmit and receives waves from the target it hits. This is mounted at the top of the crop or field there by continuously monitoring the growth and indicating the periodical growth updation. The nutrition of the plant is monitored by the image processing technique, using plant image acquired from the camera. The raspberry pi board is the heart of the entire system where it controls the entire experimentation.