Identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques

摘要: This paper presents a study on the image processing techniques used to identify and classify fungal disease symptoms affected different agriculture/horticulture crops. Many diseases exhibit general that are be caused by pathogens produced leaves, roots etc. Images Often do not possess sufficient details assist in diagnosis, resulting waste of time, misshaping diagnostician arrive at incorrect diagnosis. Farmers experience great difficulties also changing from one control policy another i.e. intensive use pesticides. concerned about huge costs involved these activities severe loss. The cost intensity, automatic correct identification classification based their particular is very useful farmers agriculture scientists. Early detection major challenge horticulture / science. Development proper methodology, certainly areas. Plant bacteria, fungi, virus, nematodes, etc., which fungi main causing organism. present has been focused early its related symptoms.