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Full-Text Articles in Forest Sciences
Apple Leaf Disease Detection And Classification Based On Transfer Learning, Cevher Özden
Apple Leaf Disease Detection And Classification Based On Transfer Learning, Cevher Özden
Turkish Journal of Agriculture and Forestry
The world population and the number of people affected by hunger constantly increases. Precision farming offers new solutions to a modern and more fertile production in agriculture. Early and in-place disease detection is one of the fields that recent studies have focused on. The present paper introduces a new approach to transfer learning in that training, validating and testing of the model have been made on images from different sources to see its effectiveness. Several optimization methods including the adaptation of a recent custom PowerSign optimization algorithm are compared in the study. Accordingly, the model with Adagrad optimizer produced more …
A Smart Agricultural Application: Automated Detection Of Diseases In Vine Leaves Usinghybrid Deep Learning, Ahmet Alkan, Muhammed Usame Abdullah, Hanadi̇ Omai̇sh Abdullah, Muhammed Assaf, Huiyu Zhou
A Smart Agricultural Application: Automated Detection Of Diseases In Vine Leaves Usinghybrid Deep Learning, Ahmet Alkan, Muhammed Usame Abdullah, Hanadi̇ Omai̇sh Abdullah, Muhammed Assaf, Huiyu Zhou
Turkish Journal of Agriculture and Forestry
This paper reports a study which utilizes deep learning for automated detection of the symptoms of diseases on vine leaves. Vine fruits or grapes are very important and have existed in Syria and surrounding areas (e.g., Turkey) for many years. Quality of vine fruits is also very important in grape production as it is consumed in these areas every day. The aim of this study is to improve diseasedetection accuracy in vine leaves and to develop a system to help Syrian and Turkish farmers and agricultural engineers to maintain the quality of grape production. In this study, over 1000 images …