2023 Cilt 28 Sayı 3

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Using convolutional neural network for grape plant disease classification
(Bursa Uludağ Üniversitesi, 2023-09-03) Sofuoğlu, Cemal İhsan; Bırant, Derya
Plant disease classification is the use of machine learning techniques for determining the type of disease from the input leaf images of the plants based on certain features. It is an important research areasince early identification and treatment of plant disease is critical for saving crops, preventing agricultural disasters, and improving productivity in agriculture. This study proposes a new convolutional neuralnetwork model that accurately classifies the diseases on the plant leaves for the agriculture sectors. Itespecially works on the classification of plant diseases for grape leaves from images by designing a deep-learning architecture. A web application was also implemented to help the agricultural workers. The experiments carried out on real-world images showed that a significant improvement (8.7%) on averagewas achieved by the proposed model (98.53%) against the state-of-the-art models (89.84%) in terms of accuracy.