dc.description.abstract |
Eggplant is an essential food in Bangladesh because the majority of the population still
live below the poverty line. Eggplant is so inexpensive that it helps poor people to meet
the demand of food. In other words, we can say eggplant helps to fulfill one of the basic
needs (food) of humans. But a large quantity of eggplant production faces a huge loss
because of eggplant’s leaf blight and fruit rot diseases. Many types of leaf blight and fruit
rot diseases reduce the healthy growth of eggplant seedlings and fruits. Due to lack of
technology and education in Bangladesh, many farmers are still unable to diagnose the
disease properly. As a result, it is harmful for both economic development and poor
people. So, we proposed our work that can detect the leaf blight and fruit rot diseases of
Eggplant very accurately. We use MobileNet, CNN, Multilayer Perceptron & VGG16 for
our work. MobileNet, CNN, Multilayer Perceptron, VGG16 help us to enhance the object
detection result. These methods are very helpful to detect eggplant disease. MobileNet
gives accuracy 95%, CNN gives accuracy 81%, Multilayer Perceptron gives accuracy
77% & VGG16 gives accuracy 70%. The accuracies are pretty good, MobileNet gives the
best accuracy among the other methods. Hence this work will help to increase the
economic development and eggplant production, reduce the food shortage of the poor and
the grief of the farmer. |
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