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Classification of Fruit Leaf Disease using Deep Learning and Image Preprocessing Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 12 |
| Year of Publication: 2023 |
| Authors: Nischay Gupta, Sharen Sharma, Shaunak Tripathi, Jaydeep Borde, Kapil Vhatkar |
10.5120/ijca2023922775
|
Nischay Gupta, Sharen Sharma, Shaunak Tripathi, Jaydeep Borde, Kapil Vhatkar . Classification of Fruit Leaf Disease using Deep Learning and Image Preprocessing Techniques. International Journal of Computer Applications. 185, 12 ( May 2023), 1-5. DOI=10.5120/ijca2023922775
Abstract
One of the primary factors determining any nation's development is agriculture. Approximately 65% of the population in India depends on agriculture. The crops get a variety of illnesses as a result of diverse seasonal circumstances. These illnesses first harm the plant's leaves before spreading to the whole plant, which has an impact on the kind and amount of crops that may be grown. The enormous number of plants in the farm makes it exceedingly challenging for the human eye to identify and categorize each plant's ailment. Additionally, since these diseases may spread, it is crucial to diagnose each plant. Therefore, in this study, we provide an artificial intelligence (AI) based automated plant leaf disease detection and classification system for rapid and simple disease detection, classification, and application of necessary treatments to cure that illness. Our strategy is to boost crop production in the agricultural sector. Several procedures, including picture collecting, image preprocessing, segmentation
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