Survey on Plant Leaf Diseases Detection and ClassificationUsing Image Processing and Deep Learning Techniques
Volume: 11 - Issue: 11 - Date: 14-11-2022
Approved ISSN: 2278-1412
Published Id: IJAECESTU7 | Page No.: 6-9
Author: Bharti
Co- Author: Dr. Sneha Soni ,Dr. Kalpana Rai
Abstract:-Destructive insects and plant leaf diseases pose serious problems for the agricultural
industry. A quicker and more precise prediction of leaf diseases in crops could aid in the creation
of an early treatment method while significantly lowering financial losses. Researchers have been
able to significantly increase the performance and accuracy of object identification and
recognition systems because to recent advances in deep learning. This paper details the
development of deep learning technologies in recent years for the diagnosis of crop leaf diseases.
Using deep learning and cutting-edge imaging techniques, we explain the current trends and
difficulties in the identification of plant leaf disease in this study. We anticipate that this work will
be a useful tool for scientists looking into the identification of plant diseases and insect pests
Key Words:-Deep Learning, Plant LeafDisease Detection, Visualization, Small Sample, Hyperspectral Imaging,
Area:-Engineering
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