Orange & Orange leaves diseases detection using Computerized Techniques

Since agriculture employs 47% of the population and contributes about 19.9% of the GDP in Bangladesh, disease detection and management are critical for farmers in order to harvest a higher percentage of utilizable fruits that are fit for consumption. Fruit diseases are a major source of agricultural losses. Fruit monitoring by hand is unreliable since it is entirely dependent on the naked eye's interpretation, and it is also impractical to have experts in the remote areas where the fruits develop. As a result, an automated disease detection system for Orange has been suggested, which uses image processing techniques to determine the extent of the disease and monitor yield loss. K-means clustering was used to segment the images. Using a gray-level co-occurrence matrix, thirteen features were extracted from the segmented image (GLCM). For disease detection and classification, a multi-class support vector machine (SVM) is used. As compared to other current algorithms, the results are experimentally checked and classification Overall accuracy of up to 82.3% is achieved.

I. Introduction

The agricultural sector of Bangladesh creates employment for about 63% [1]of the total population. For most of countries food security means agriculture, but the only livelihood of the huge population of Bangladesh is agriculture. The agricultural sector in Bangladesh helps in reducing poverty and fostering sustainable economic development. From 2005 to 2010, the agricultural sector reduces 90 percent of poverty in Bangladesh. As of 2016, Bangladesh has 70.63% agricultural land and 59.6% arable land. According to 2016 year, about 70% of the population of Bangladesh lives in villages (rural areas). And, about 87% of the rural households are dependent on agricultural work. Now, Bangladesh has about 16.5 million farmers, according to a National Agricultural Census report (2019). In 2019, Bangladesh's GDP grew by 12.68% due to the agricultural sector. Most of the farmers in Bangladesh work in agriculture without using modern technology. Much of their suffering can be overcome through modern technology image processing. It takes a lot of farmers to check if any crop leaves have been eaten or damaged by insects. This is a waste of time and a lot of money is wasted. Without modern technology, observing crop leaves in such a way as to grow crops is costly and time consuming and no good crop can be obtained accordingly. It saves time and money if the farmer can only take pictures of his crop and identify diseased leaves or insectivorous leaves through image processing. With the help of automatic disease detection, crop leaf infestation or damage can be detected.