Artificial neural networks that recognize and quantify relevant aspects of crop plants show
great promise in image-based phenomics, but their training requires many annotated …

Plant segmentation and trait extraction for individual organs are two of the key challenges in
high-throughput phenotyping (HTP) operations. To address this challenge, the Ag Alumni …

Rapid, accurate, and fully automated estimation of both length and width of asphalt
pavement cracks, essential for achieving a proactive asset management, presents a …

Lindenmayer systems (L-systems) are a formal grammar system, where the most notable
feature is a set of rewriting rules that are used to replace every symbol in a string in parallel; …

With the development of computer vision, plant identification systems have helped botanists
recognize and identify plant species more quickly. We usually differentiate plants of different …

Agriculture plays a vital role in the economy and crop disease causes huge financial losses
every year. The losses can be reduced by detecting the disease accurately. The variation in …

Lindenmayer systems (L-systems) are a grammar system that consists of string rewriting
rules. The rules replace every symbol in a string in parallel with a successor to produce the …

Apricot detection is a prerequisite for counting and harvesting tasks. Existing algorithms face
challenges in adapting to the impacts of complex environmental factors such as lighting …

Detections of Ginkgoes are prerequisites for later counting and harvesting. Due to the
uneven distribution of samples, the detection speed and accuracy of existing algorithms …

In order to solve the automatic detection and alarm of indoor smokers, this paper designs
and implements an indoor smoker detection and alarm system based on YOLOv5 model …