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Review Papers | Agriculture | India | Volume 13 Issue 1, January 2024

Comprehensive Study on Orange Disease Detection: A Review

Jyotsana Goyal | Dr. Rajat Bhandari

Abstract: This review paper abstract provides an overview of the state - of - the - art research on the detection of diseases in orange crops. In recent years, the agricultural industry has faced significant challenges due to the impact of diseases on orange fruit production. This review highlights the critical importance of early disease detection to mitigate economic losses and improve the overall quality of orange yields. It discusses the various diseases that affect orange crops, their symptoms, and the challenges associated with traditional, manual detection methods. The abstract also explores the promising potential of automated systems and advanced technologies for the early identification and severity assessment of orange diseases. By summarizing the existing research and advancements in this field, the review paper aims to contribute valuable insights into enhancing disease detection methods and ultimately securing the future of orange production in the agricultural sector.

Keywords: Machine learning, Citrus Disease, CNN, Feature Extraction, Segmentation

Edition: Volume 13 Issue 1, January 2024,

Pages: 1678 - 1685