\cite{Muhammad_Asraf_Hairuddin_2011}\cite{Radha_2014}Clustering: It is an unsupervised machine learning model which is used to group a set of objects such that the objects in the same group are more similar than the objects in the other groups.
Finally, the algorithm contains the following steps:
1)Process the input image to remove noise and any unwanted feature.
2)Extract the RGB values and texture components.
3)Store the extracted values in a data set.
4)Use Clustering to detect the deficiency.
III.Conclusion
This algorithm is based on the feature extraction technique using digital image processing and automate the detection of the deficiency using a machine learning model i.e clustering. This algorithm can not only lead to an early detection of deficiency but also help the farmers to take the counter measures to minimize the risk of unhealthy growth of plants. The above work can be extended to identify all the nutrient deficiencies not only in mango but many other agricultural crops. Thus , the proposed work can be used to increase the yield of mango cultivation and grab the attention of agricultural researchers to take this project to its full potential.
\cite{Latte_2016,Padol_2016}