The past decade has witnessed many great successes of machine learning (ML) and deep
learning (DL) applications in agricultural systems, including weed control, plant disease …

Veins are a critical component of the plant growth and development system, playing an
integral role in supporting and protecting leaves, as well as transporting water, nutrients, and …

Detection, segmentation and tracking of fruits and vegetables are three fundamental tasks
for precision agriculture, enabling robotic harvesting and yield estimation applications …

The increasing capacity of lithium batteries to meet the demands of long driving range and
rapid charging or discharging in electric vehicles has led to a significant issue of heat …

Abstracts: Background The utilization of near-infrared (NIR) spectroscopy, in conjunction
with chemometric techniques, has been widely used in a variety of sectors, including …

Hierarchical leaf vein segmentation is a crucial but under-explored task in agricultural
sciences, where analysis of the hierarchical structure of plant leaf venation can contribute to …

Exploring various phenomena and issues related to leaf images is paramount, particularly in
segmentation and classification of such images. This study employs bibliometric analysis to …

Segmenting vein from leaf images is challenging because of the strong expansibility, high
connectivity and irregular distribution of vein patterns. Although several recent attempts have …

Extracting the network of leaf veins is a crucial step in characterizing and classifying the
species of plants. Researchers have categorized the plants for many years by …

Leaf vein segmentation is of great importance for increasing food production in botany and
agriculture. To further improve the performance of vein image segmentation, we propose a …