Abstract:
"Weligama Coconut Leaf Wilt disease (WCLWD) is a phytoplasma disease that affects coconut
trees in Sri Lanka but is only found there, in the Southern Province, far from the country's main
coconut production region. It might seriously harm Sri Lanka's coconut sector if it spreads to the
main coconut growing region. To remove the illness and, more crucially, stop its spread to vital
coconut-growing regions, the government launched a disease control campaign. Lack of a precise
and dependable approach for detecting damaged palms is the program's main limitation. Although
farmers are often not convinced of the strategy for resisting palm removal, visual symptoms are
employed to identify the damaged palms for removal.
The goal of this work is to create an automated way to identify this disease using techniques for
image processing that may be used to determine whether or not a disease is affected.The use of a
convolutional neural network to take data from leaves and the technique selection, together with
the prediction of illness degree, are the main components of this study."