Detection of the viral disease on the potato foliar and tubers using a machine learning approach

نویسندگان

چکیده

Agriculture is the backbone of country as it feeds human race. India’s top third crop cultivation potato. The potatoes are propagated by vegetative methods where several pathogens tend to assemble over succeeding generations causing a reduction in yield and quality crop. potato production most likely affected virus compared bacteria fungus there need develop model which diagnoses disease at initial stage. Long ago scientists had found caused tuber, leaf laboratory Reverse transcription-polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), etc., but needs large infrastructure, labor management, more time diagnose disease. This leads intensive research field virology. potato-growing countries have suffered due disease-causing agents from viruses decreased yield.

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ژورنال

عنوان ژورنال: International Journal of Health Sciences (IJHS)

سال: 2022

ISSN: ['2550-6978', '2550-696X']

DOI: https://doi.org/10.53730/ijhs.v6ns4.10740