Current technology has been widely applied for development, one of which has an Artificial
Intelligence (AI) applied to Smart Farming. AI can give special capabilities to be …

Detecting and recognizing pests are paramount for ensuring the healthy growth of crops,
maintaining ecological balance, and enhancing food production. With the advancement of …

There are many popular branches, including the Internet of Things (IoT) and Artificial
Intelligence (AI), which have solved many problems. Same as that, the automotive field is …

This paper proposes PestNet, a lightweight method for classifying crop pests, which
improves upon MobileNet-V2 to address the high model complexity and low classification …

Machine Learning (ML) has a big impact on smart farming, especially rice productivity. This
is especially true for intelligent farming. Machine Learning is crucial for seed prediction …

Coronavirus disease (COVID-19) is a public health problem in Thailand. Currently, there are
more than 5 million infected people and the rate has been increasing at some point. It is …

In the context of modern flower cultivation, this study leverages the power of Support Vector
Machines (SVM) to revolutionize the production process. By deploying SVM technology, the …

Abstract SIM card (Subscriber Identification Module) card is a physical electronic device that
is the integrated circuit of the internet. Sim cards are used by the public as a place to store …

Farmers usually have to deal with insects/pests and the diseases they cause. The diseases
caused by these pests create several health issues and crops get severely damaged. As a …

Abstract Knowledge Extraction Model (KEM) is a system that extracts knowledge through an
IoT-based smart waste bin emptying scheduling classification. Classification is a difficult …