Cloud-based Tomato Plant Growth and Health Monitoring System using IoT

Farmers face a major difficulty in that the weather and other environmental conditions are impossible to forecast and control. Plant diseases play a significant part in plant cultivation as well. Farmers have a big issue in the form of plant diseases. To address this problem, farmers spray pesticides on a regular basis, which might harm the plants and cause crop loss. The IoT and machine learning concepts are used in the field of agriculture to improve agricultural productivity. In this paper, we used the soil moisture sensor to detect the level of moisture and control the water relay according to the level of moisture. The humidity-temperature sensor is used to detect the temperature and humidity of the environment. We have used the camera module to detect tomato plant diseases. The Azure Custom Vision Model has been used for better disease detection accuracy, and the Thing Speak open-source platform is used to show the real-time air temperature, humidity, soil temperature, soil moisture level, etc.