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 66
- Downloads 0
X-Ray Emission from High-Redshift Miniquasars: Global Warming Regulates the Population of Gigantic Black Holes
Super massive According to studies of slightly elevated supernovas at z 6, black holes with magnitude of M 109 M existed plus or minus 1 Gyr but after big bang. If these SMBHs emerged from the first stars “seed' BHs, the...
Scene Text Recognition in Mobile Application by Character Descriptor and Structure
The images which is capture by camera contain a various words and text, which provide a lot of information in various fields. Reading text from natural scene image is difficult. Because background object and fluctuation...
Definition of Mechanical Indicators of Plastic Details of the Oil-Field Equipment
The analysis of the manufacture of plastic details of the oil-field equipment was made, which made it possible to establish the regularity of the shrinkage change of plastic details from the regimes of their production....
Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) is one of the emerging and fast growing fields in the scientific world which has a wide range of applications like monitoring physical world events, preparing forecasts, severe environment...
Cyborg Crab
In this paper we emphasis on the cyborg in cybernetic which is a part of Artificial Intelligence. Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also an academic field of study....