Abstract:
Our project aims to address the challenges faced by Pakistani farmers in identifying plant
diseases quickly, leading to reduced crop quality and productivity. To achieve this, we propose
the development of a cutting- edge smart phone app utilizing deep learning technology to
accurately diagnose plant disease. The focus will be on wheat crops, and we will create our
dataset of images to train a convolutional neural network. Our approach involves using transfer
learning with the VGG16 architecture to achieve high accuracy and performance in disease
identification. Through the implementation of our solution, we hope to empower farmers and
increase agricultural productivity, contributing to a more sustainable and prosperous future for
Pakistan. The project aims to revolutionize the agricultural industry in Pakistan by leveraging
technology to improve plant disease diagnosis and management.
