International Journal of Advanced Innovative Technology in Engineering (IJAITE)

---

Implementation of Plant Leaf Diseases Recognition by Image processing using Machine Learning

Prasad W. Bhombe, Dr. Shirish V. Pattalwar

Abstract :

In a developing country like India agriculture plays a noteworthy role. Agricultural intervention in the livelihood of rural India indulges by about 58%. Among the agricultural products, orange is one of the most used crops. Thus, preventing significant loss in quantity and yield of oranges is majorly dependent on the recognition and classification of diseases an orange plant leaf might possess. Initially, the leaves of an orange plant leaf get affected, when the plant develops a particular type of disease. In this research, four consecutive stages are used to discover the type of disease. The four stages include pre-processing, leaf segmentation, feature extraction, and classification. To remove the noise, we are doing the pre-processing and to part the affected or damaged area of the leaf, image segmentation is used. The Ensemble Bagging Classifier algorithm, which is a guided, supervised and advanced machine learning algorithm, is implemented to find solutions for both the problems related to classification and regression. During the terminal stage, the user is recommended the treatment. Mostly live plants are adversely affected by the diseases. This paper imparts a representation of leaf disease detection employing image processing that can identify drawbacks in orange plant leaf plants from images, based on color, bound, and texture to give brisk and reliable results to the farmer.

Keywords :

Full Text :

Download PDF

DOI :

Cite this paper :

References :

---