Published Paper Details:

This paper presents, an advanced evaluating methodology that has been evolved and used to help the agriculturist to take correct decision regarding many features of Aloe Vera plant development process. Suitable evaluation and diagnosis of various parts of leaf of the Aloe Vera disease in the field is very critical for the increased production. The aim of this project is also to overcome the existing problems concerned with over use of Aloe Vera products such as colorectal cancer, diarrhea, hepatitis. To solve this difficulty we are proposing a prototype model with image processing. The genetic algorithm is helpful in finding the useful contents in succulent plant like Aloe Vera which is planted for use in agriculture and medical field. But the continuous use of products containing Aloe Vera is known to cause numerous skin allergies, skin eruptions etc. Due to these disadvantages there is need of suitable substitute to Aloe Vera. Those are found out with the help of genetic algorithm by giving different set of inputs like Aloe Vera, Turmeric to the algorithm and compare output of it.