This review explores the use of machine learning (ML) techniques for detecting pests and
diseases in crops, which is a significant challenge in agriculture, leading to substantial yield …

Agriculture is imperative research in visual detection through computers. Here, the disease
in plants can distress the quality and cultivation of farming. Earlier detection of disease …

Automated food logging is an essential component of modern dietary management, and
food recognition plays a crucial role in this process. However, the recognition of dishes and …

Çevre kirliliği sorunu, son zamanlarda artış gösterip hem insanlığa hem de çevreye tehdit
oluşturmaktadır. Dünya genelinde çarpık kentleşme, sanayileşme ve insanların sorumsuz …

Despite rapid population growth, agriculture feeds everyone. To feed the people, agriculture
must detect plant illnesses early. Predicting crop diseases early is unfortunate. The …

Today, face recognition systems are widely used in many areas that require biometric-based
verification, especially because they are contactless and require low user cooperation …

In this study, we evaluated the performance of two classification models, namely Random
Forest and XGBoost, on a multi-class classification task. The evaluation results showed that …