Messages of natural disasters on social media can be used as an early warning and
mitigation of natural disasters. Researchers developed a machine learning-based …

Ankle injuries caused by the Anterior Talofibular Ligament (ATFL) are the most common type
of injury. Thus, finding new ways to analyze these injuries through novel technologies is …

Road damage that occurs on several road surfaces causes huge losses, especially for road
users such as travel time, congestion, accidents and others, so it is necessary to assess the …

Deep learning plays a vital role in precise grapevine disease detection, yet practical
applications for farmer assistance are scarce despite promising results. The objective of this …

In the summary of the research, the findings as well as the metrics of the disease
classification model that was constructed for cauliflower leaves are summarized. The model …

ABSTRACT Application Automatic Optical Inspection (AOI) is comprehensive in producing
electronic circuits in the industry as an essential part of product assurance. Previous …

Apple trees are an agricultural commodity with high economic value that often face serious
challenges due to various leaf diseases. Early detection and proper treatment are crucial to …

Chili peppers (Capsicum annuum) are a significant agricultural commodity with
considerable economic value. However, their productivity is susceptible to diseases and …

Histogram of Oriented Gradients (HOG) feature extraction and Extreme Gradient Boosting
(XGBoost) classification to resolve the challenges of concrete crack monitoring. The purpose …

Pepper (Piper nigrum L.) is a high-value cash crop and plays a significant role in Indonesia's
agricultural sector. However, pepper production is often hindered by diseases that affect the …