Abstract:
Agriculture development is not only a normal development sector but also a vital sector all
over the world. Convolution Neural Network is one of the most advanced algorithms in
Machine Learning. In my study, I have built up a strong relationship between agriculture
and Image processing system, bitter gourd freshness detection and automation system
using multi-layer automation process. I have used 5*3 training layers for the dataset and
relevant output process. In this study, I show 4 types of output like Fresh, Moderate, Wrong
and rotten bitter gourd. After analyzing data and method implementation I get 91.56%
model accuracy which is better than the other image processing algorithm. In the modern
era agriculture development is the highly contribute field of food security. This study will
allow farmers to choose the proper crop in the right market condition, which will play a
key role in strengthening the economy of the country. Technology on the other hand is a
huge blessing in people's lives. In today's world, the introduction of information technology
in agriculture has led to great improvements in this field.
