• Jyotsana Goyal
• Dr. Rajat Bhandari

This review paper abstract provides a thorough synopsis of the most recent developments in the field of orange crop disease detection. The agricultural industry has faced significant challenges in recent years due to diseases that have negatively impacted orange fruit production. This review highlights the critical importance of early disease detection to reduce financial losses and improve orange yield quality overall. The article looks at the various diseases that affect orange plantations, their symptoms, and the challenges associated with traditional, manual detection methods. The synopsis also looks into the promising potential of automated systems and cutting-edge technologies for quickly detecting and assessing the seriousness of orange diseases.. The review paper seeks to provide valuable insights into improving disease detection methods and ensuring the future of orange production in the agricultural sector by summarizing the current research and advancements in this field.

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

"A Review on the Detection of Orange Disease: A Thorough Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.b679-b686, February-2024, Available :http://www.jetir.org/papers/JETIR2402175.pdf

"A Review on the Detection of Orange Disease: A Thorough Study", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppb679-b686, February-2024, Available at : http://www.jetir.org/papers/JETIR2402175.pdf