{'fraction_non_alphanumeric': 0.013844515441959531, 'fraction_numerical': 0.002129925452609159, 'mean_word_length': 4.987261146496815, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Windows Phone Application for Plant Disease Diagnosis

Although professional agriculture engineers are responsible for the recognition of plant diseases, intelligent systems can help in their diagnosis in early stages. Using such systems, low cost continuous plant monitoring can be applied. Some expert systems have been proposed in the literature for this purpose that are based on user descriptions and image comparison. The symptoms of a disease include lesions or spots in various parts of a plant. The color, area and the number of these spots can determine to a great extent the disease that has mortified a plant. Higher cost molecular analyses and tests can follow if necessary. In this paper, a Windows Phone application capable of measuring the plant lesion features is described. The accuracy in the plant disease recognition is higher 90% according to the experimental results performed using grape diseases as a case study.