About this document
Automated Fish Disease Recognition System by Laksono Radityo Suwandi is a document available to read on EtoBox.
The document discusses an automated approach for recognizing fish diseases using computer vision techniques, aimed at assisting farmers in early disease detection to prevent economic losses. The study highlights the significance of fish in food security and the detrimental impact of diseases on fish production, presenting an expert system that utilizes smartphone images for disease identification with an achieved accuracy of 88.87% using the Random Forest algorithm. The research emphasizes the need for effe
- Author
- Laksono Radityo Suwandi
- Language
- EN