The aim of this project is to develop a system for plant monitoring and disease detection using the concept of IoT and Image processing with the help of deep learning technique. The camera with high resolution captures the image in such a way that it subtends its maximum view of the plot.

The images captured by the camera will be processed and compared with trained datasets i.e., images of diseased and healthy plants using the technique called deep learning technique with the help of CNN algorithm, which will train the control unit to distinguish between healthy and unhealthy plant. The output includes display of numerical value which denotes the percentage or probability of diseases present in the plant for every real time image input from the camera.

The predicted output will be updated in the server by IoT. If any variations in data or disease detected, the required information of that plant will be recorded and will alert the farmers through notifications popping up in the phones of farmers.

This proposed model will be helpful for farmers and gardening purposes that will enable the observation and management of the field without any user intervention and contributes to smart agriculture and empowers farmers with the decision tools and automation technologies that seamlessly integrate products, knowledge and services for better productivity, quality, and profit .

The system makes it easy to track, understand and manage asthma in a controlled manner. The oximeter, which forms an integral part of the inhaler, measures blood oxygen saturation level during asthma. The response and improvement in an asthma patient’s condition during the treatment can be monitored accurately, enabling the doctor to prescribe changes in medication if needed, while patient is at home.

The atmospheric condition details of several locations can be accessed by everyone using the application enabling to take precautions. This application can alert the patient to take medicine on time and notifies if the patient forgets to take the inhaler along with them. It helps to achieve measurable improvements in asthma and COPD management and better health outcomes for the people.

It also contains a peak flow meter to measure the volume of air inhaled and exhaled by the lungs. COPD is similar to asthma which causes wheezing and suffocation. This cannot be cured completely but preventions can be taken once it is diagnosed.

In the current scenario, respiratory diseases are increasing and it becomes important to take self-prevention from the air pollution and other factors leading to respiratory issues. Asthma triggers in surrounding atmosphere can be controlled by patient himself using the system by proper detection, also helping the doctor for better diagnosis.