Published Paper Details:

For most of the countries now-a-days the national agenda is the agricultural production because of rapid climatic changes that affects the crop growth like vegetables, fruits, grains and insect infestation. Because of rapid climatic changes it is becoming hard to achieve maximum yield of the crops, because of this many countries are seeing greenhouse as a very good option to guarantee their agricultural results. In this paper we have proposed a smart greenhouse monitoring system that consists of different sensors which monitor the total area of the greenhouse and these sensors mainly include temperature and humidity sensor, light controlling (LED) sensor, soil moisture and PH controlling sensor. The system consists a facility of fire alert system and SMS alert system which will be displayed on the user's phone. Dataset used for this system has different kinds of pictures of numerous plants which are taken from different angles and the plants captured are both healthy and affected. This system has the ability to capture images and store in the database and predict results based on that data. The system uses Convolution Neural Network (CNN) which helps in training the model and detecting the disease. This survey paper gives information about the system which is equipped with numerous IoT-based applications to control and monitor greenhouse and help in building a suitable agriculture environment.