Supervisor:
Meivi Kartikasari, S.Kom., M.T
Category:
Mobile Application
School:
STIKI Malang
Country:
Indonesia
Year:
2024
Description:
The problem of harvest losses due to pests and diseases has been extensively documented in many literature. According to Oerke (2006), plant diseases alone can cause pretty significant yield losses, estimating between 20%-40% globally. Using traditional methods which were done by domain experts to visually diagnose the leaves to get the disease can be time-consuming Therefore, there is a pressing need for an accessible and efficient solution to diagnose crop diseases accurately and promptly.
