Abstract:
Mango plant is a perennial tree which can live more than fifty years and it is also the leading fruit
produced in most parts of eastern and south-western Ethiopia both in area coverage and quantities
produced. It is also a rich source of vitamins, minerals, fiber, prebiotic dietary and antioxidant
compounds, thus promoting the benefits for human health. Mango is one of the most important
fruit crops and more economically significant agricultural products in Ethiopia, but it is exposed
to different constraint in the leaf area. The mango tree is affected by different diseases and it is
very difficult to detect disease in naked eye. This study proposes to detect mango leave disease
using Gray Level Co-occurrence matrix (GLCM) for the feature extraction and KNN for
classification in neural networks merged with Machine learning Approaches. In this research study
intends to detect the diseases of mango leaf with machine learning monitoring different symptoms
of leaves. Here, trained data are produced by classification technique collecting images of leaves
that were various disease affected. Then the proposed system is design to use to identify the
symptom of mangoes leaf diseases by using various preprocessing techniques followed by color-based segmentation method to separate the regions of interest then features are extracted using
Gray Level Co-occurrence Matrix. The system will help to detect disease without the presence of
agriculturist that would save time to identify disease with machine instead of manual system. It
would also ease to treat the affected mango leaf disease properly, increase the production of mango.
The proposed system could successfully detect and classify the examined disease using KNN
classifier the average accuracy is 81.99 % and using ANN classifier the average accuracy is 95 %
achieved for Mango Anthracnose, Powdery mildew and Alternaria leaf spot disease varieties using
GLCM for extracting texture feature and Classification of the input image is performed at the final
stage taking KNN and ANN algorithms.