Most people worldwide, irrespective of their age, are suffering from massive cardiac arrest.
To detect heart attacks early, many researchers worked on the clinical datasets collected …

Agriculture catalyzes the economy in developing nations. Malaysian agriculture constitutes
4.06 million hectares, with 80% encompassing industrial crops and agro-food production …

The automatic recognition of crop diseases based on visual perception algorithms is one of
the important research directions in the current prevention and control of crop diseases …

Over the past decade, an abundance of research has been conducted in the area of
agricultural technology and innovations. The Internet of Things (IoT) has demonstrated its …

In Indonesia, the agriculture industry has been more reluctant than other sectors to adopt
IoT, IT, and AI technology. Utilizing this technology will enable precision agriculture. This …

Since leaf temperature (LT) is not a trivial measurement, deep-neural networks (DNN) and
machine learning (ML) models were evaluated in this study as tools for estimating foliage …

The increasing prevalence of brain tumors necessitates accurate and efficient methods for
their identification and classification. While deep learning (DL) models have shown promise …

The genesis and spread of illnesses are a major concern in today's rapidly developing
technological and evolutionary environment. The prevention and management of illnesses …

Powered by data-driven technologies, precision agriculture offers immense productivity and
sustainability benefits. However, fragmentation across farmlands necessitates distributed …

Disease detection on a farm requires laborious and time-consuming observation of
individual plants, which is made more difficult when the farm is large and many different …