This article explores the impact of automation on environmental sensing, focusing on
advanced technologies that revolutionize data collection analysis and monitoring. The …

Abstract In the Yangtze River Delta in China, known for its intricate water network, achieving
harmonious development between humans and nature in rural areas is imperative …

AI-driven precision agriculture applications can benefit from the large data source that
remote sensing provides, as it can gather agricultural monitoring data at various scales …

Meat quality has gained ample attention owing to increased consumer awareness and
competition among poultry processors to deliver premium quality products. Nevertheless …

Accurately segmenting grape clusters and detecting grape varieties in orchards is beneficial
for orchard staffto accurately understand the distribution, yield, growth information, and …

Agriculture, playing a vital role in human life, constitutes over 60 percent of the economy in
many developing countries. Despite its significance in providing food and employment …

In response to the limitations of existing methods in differentiating between vegetables and
all types of weeds in farmlands, a new image segmentation method is proposed based on …

Plant identification poses a challenge for end-users, including novice botanists, due to the
high similarity between species, particularly those within the same genus and family, as well …

This paper introduces a new real-time method based on a combination of kernel density
estimators and pyramid histogram of oriented gradients for identifying a point of interest …

In recent years, the rapid development of deep learning has led to a wide range of
applications in the field of medical image classification. The variants of neural network …