Abstract:
"Sri Lanka's agriculture sector has traditionally been a direct contributor to the national economy,
centered on important crops such as Tea, Rubber, and Coconut. Sri Lankan coconut, in particular,
is extremely popular and in high demand around the world. Sri Lanka benefits greatly from
coconut exports. However, in Sri Lanka, coconut leaf diseases are playing an increasingly
important role, causing the trees' cultivation to decline. To control these illnesses, domain
specialists in the field of coconut farming can be contacted, although this is a challenging task due
to their limited availability.
To identify coconut leaf illnesses and reduce damage, the system was built utilizing image
processing and CNN (Convolution Neural Network). The author built the dataset with the help of
subject specialists at the Coconut Research Institute. The pre-processed images used in the dataset
were mounted to a mode and then trained.
The model was trained several times and test accuracy was tested and the model was trained until
a very good test accuracy was obtained."
