Abstract: The Lumpy Skin Disease is one of the major factors. Lumpy Skin Disease is known as a major risk to cattle production and substantial impacts on livelihoods and food security especially for our country. Currently, detection of Lumpy Skin Disease in our country is assessed manually. However manual evaluation takes significant amount of time and requires trained professional and experienced person. Therefore, technology is needed to prevent animal disease epidemics. Automated detection of Animal Lumpy Skin Disease has advantages over the manual technique. Detection of Lumpy Skin Disease in Cows is developed in literature. But Animal Lumpy skin disease has different classification based on its severity. There is a need to further identify the different stages of Lumpy skin disease to know to what extent the animal is affected by lumpy skin disease.
Keywords: Lumpy Skin Disease (LSD), Machine Learning (ML), Prediction, Feature Selection, Datasets, Algorithms Evaluation Metrics, Support Vector Machines (SVM), Random Forests, Neural Networks, Accuracy Improvement, Clinical Practice, Patient Outcomes, Healthcare Management, Early Identification.
Cite:
Anusha Ramdas Mogher, Shivaraj B G, Neha C Suvarna, Poornima, Sakshi P Bhandary,"Lumpy Skin Disease Detection", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133121.
|
DOI:
10.17148/IJARCCE.2024.133121
