Classification of Healthy and Diseased Broccoli Leaves Using a Custom Deep Learning CNN Model
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 5
Abstract
Agriculture is essential for sustaining the global population and is a crucial element in economic returns and food supply. However, plant leaf diseases are a major threat to agriculture and economy since they retard yield and increase cost of production. Because of high demand for broccoli, a wonderful and profitable crop, in the market, it has tremendous business opportunities for farmers. Nevertheless, similar to many other food crops, it is vulnerable to diseases which may affect its production and quality. Prevent losses from these diseases requires early detection of the disease affecting the leaves and with further enhancement of the technology, especially deep learning. In this research, an application of a new, specifically designed CNN model for the differentiation of healthy and diseased broccoli leaves is proposed. Data were collected directly from the field using mobile cameras and the images were sorted under healthy and unhealthy classes respectively. A new CNN model with an architecture specific to this dataset was designed and trained in this project using Keras. As evaluated from the result, the model proved efficient providing an accurate prediction on the health status of the leaf. The use of deep learning in disease diagnosis in crops enables farmers to make timely interventions thus protecting their crops, their potential economic value and nutritional value. This research acknowledges the possibilities of applying advanced technological improvement on the practice of agriculture.
Authors and Affiliations
Saikat Banerjee, Soumitra Das, Abhoy Chand Mondal
Keywords
Related Articles
- EP ID EP749878
- DOI 10.55524/ijircst.2024.12.5.15
- Views 57
- Downloads 0
A Contingent Study of DC-to-DC Converters for Sustainable Energy System
There had been significant growth in the area of renewable energy over the past recent years. Though there has been great development in sustainable energy, there is still a long way to go.There are certain inherent limi...
Subsistence Farming's Contribution to Food Security in South Africa
Food is obtained by poor families via the Markets, poverty agriculture, and governmental or various family subsidies are all options. Village people used to grow most of their own their, but current research show that ev...
An Improved Dynamic Round Robin CPU Scheduling Algorithm Using SJF Technique
CPU Scheduling is one of the fundamental concepts of operating system. There exists a number of CPU scheduling algorithms like first come f irst serve, shortest job first scheduling, round robin scheduling, priority sche...
Prediction of Stock Market using Stochastic Neural Networks
The primary objective of investors and stockbrokers is to make profits by being able to predict the financial markets. However, forecasting is a complex task since the financial markets have a complicated pattern. This s...
A Survey on Various Security Issues and Challenges to Secure Cloud Computing
Cloud computing has evolved as one of the most powerful approach in the IT industry. It provides so many advantages like minimum expense, great performance, availability of resources, due to which it is considered as rev...