The hardest thing to do in agriculture is to figure out which leaves are healthy and which ones are damaged. Bangladesh makes 80% of its money from farming. Most farmers cannot read or write. They didn't know how much fertilizer to put on a lentil with root rot or a healthy lentil. They sometimes spray medicine on the plants, which is terrible for them. As a result, agriculture has become much less productive. In this paper, a picture-segmenting algorithm is given that can automatically find and classify plant leaf diseases. Also included are surveys of different ways to classify diseases that can be used to find plant leaf diseases. The Convolution Neural Network model is used to segment images, an essential part of finding plant leaf diseases. Every country's growth is based on its agricultural production. To keep agricultural production at a certain level and keep growing sustainably, scientists need to study how to find and treat diseases. Standard methods in the literature for classifying leaf images involve extracting attributes and training classifier models, which makes them less accurate. The technique suggested gets rid of any unnecessary data from the image collection. Using the mixture model for region growth, we first find the area of interest based on the colors of the leaves in the image. After extracting the features, a deep convolution neural network model is used to classify the leaf photos. A convolutional neural network model can be used with the deep learning model to find different patterns in color photos. Examining the execution strategy of the proposed model using an unauthorized dataset. According to the results of the simulating replica, the suggested model outperforms the well-known current methods in the field, with mean classification accuracy and area under the characteristics curve of 95.35% and 94.7%, respectively.
In this paper, we discuss home automation IoT based and we show three projects about IoT. IoT or internet of things is an upcoming innovation which is an arrangement of interrelated computing devices, mechanical and computerized machines, articles, creatures or individuals that are given one kind of identifiers and the capacity to exchange information over a system without expecting human-to-human or human-to-PC association. It's an achievement though it will change our whole world. New Horizons will begin in our lives by this. The premise of this research was to diminish the anguish of human. IoT based home mechanization can make the life an excessive amount of less demanding. In this research, we will attempt to interface the normal devices which are utilized as a part of a home. This paper is giving the design part of the point of the smart window, smart almirah, and smart bookshelf. One of the three projects is the smart windows system. It can be controlled in accordance with the weather conditions of the owner's house, and the house temperature, the proper balance of gas in the air. Using this system, the user will get comfortable weather at home and will be able to predict any external danger to the environment. And it can be done by a mobile phone or an internet-enabled device.
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