Change leaf marking as 'Healthy' or 'Infected' at line 151 and 164 of data_marking.Īt the end of the text file such as 'healthy_test_result.txt', the classification accuracy for that particular disease for the selected leaf type will be mentioned. Update filename on line 134 of data_marking, with file name created in step 2.ĥ. The project focuses on the approach based on image processing for detection of diseases of plants. Touch Bell\ Pepper\ Data\ Set/Test_pep_healthy/healthy_test_result.txtĬd Bell\ Pepper\ Data\ Set/Test_pep_healthy/Ĥ. The Journal of Plant Diseases and Protection (JPDP) is an international scientific journal that publishes original research articles, reviews, short. Bell Pepper Data Set/Test_pep_healthy/) with naming 'DiseaseType_test_result.txt'. The project aims to classify different leaves of crops as disease infected or healthy from its image based on previously calculated average infection percentage of data set of particular disease of a crop. Preprocessing of Plants images: It involves basic steps like image cropping, image smoothening, image snipping, image enhancement etc. e.g.Ĭp data_marking.py Bell\ Pepper\ Data\ Set/Test_pep_bac/.Ĭp leaf_classification.py Bell\ Pepper\ Data\ Set/Test_pep_bac/.Ģ. The working of this project is as under: Acquisition of Plants images: We can obtain plant images from dataset of disease and we can also capture images manually by taking photographs of plants. Place 'data_marking.py' and 'leaf_classification.py' in Test folder of the selected leaf folder.
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