Automatic diagnosis and control of rice plant disease are highly desired by agricultural
experts. Many machine learning approaches have been proposed in automating rice …

The demand of food, either plant or animal origin, is rising with the increase of human
population. Due to limitation of land, water, and other natural resources, farming by manual …

Objective Iris pattern recognition system is well developed and practiced in human,
however, there is a scarcity of information on application of iris recognition system in animals …

Different supervised machine learning algorithms' performance varies when applied to
different datasets. Moreover, using a generalised supervised algorithm may not be able to …

At present, there are numerous applications of machine learning that have been identified.
The identification and recognition of the object is very popular and significant among them …

This paper proposes classification of different animal images comprising dog, cat, elephant,
panda, and monkey. The most significant task in computer vision and deep learning is …

Maintaining the purity of pig breeds is an essential task for their economic value. The
traditional breed identification methods through coat colour are prone to error due to huge …

Distinguishing the breeds of animals is one of the major examination areas in animal
welfare. Recognition of animal breeds demands numerous determining elements which are …

An important component in the treatment of severe skin diseases is the early diagnosis of
melanoma cancer. To assess the effectiveness and accuracy of the model, this paper …

Abstract Convolutional Neural Network (CNN) is widely used as a strong framework for
object classification. This framework is suitable for classification of group of objects which …