• Shenthna vardhi
• Dayananda s
• Chandana KR
• Yogaraj j
• Nagarathna

In India the hill tracks of south Indian states are dominating in coffee production while Karnataka process 70% followed by Kerala 21% and Tamilnadu. Finding nutritional deficiencies in coffee leaves is so problematic since some deficiencies have same visual characteristics such as iron, manganese. These deficiencies cause major effects in producing coffee. This paper presents automatic classification of nutritional deficiencies using machine learning approach based on decision tree using local and global features.

Deficiencies, decision tree, local features, global features.

"Automatic Identification and Classification of Nutritional Defeciencies and Diseases in Coffee Plants using Digital Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.432-436, May-2019, Available :http://www.jetir.org/papers/JETIR1905565.pdf

"Automatic Identification and Classification of Nutritional Defeciencies and Diseases in Coffee Plants using Digital Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp432-436, May-2019, Available at : http://www.jetir.org/papers/JETIR1905565.pdf