Some scientific researches have been conducted recently based on Artificial Intelligence
(AI) to solve animal welfare and health related problems. However, no review study was …

Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …

Rice, the world's most extensively cultivated cereal crop, serves as a staple food and energy
source for over half of the global population. A variety of abiotic and biotic factors such as …

Massive efforts are made to reduce biases in both data and algorithms to render AI
applications fair. These efforts are propelled by various high-profile cases where biased …

Defect detection is a key element of quality control in today's industries, and the process
requires the incorporation of automated methods, including image sensors, to detect any …

Artificial Intelligence is occupying an extensive position in every field of study. In the field of
Food and Agriculture it is an emerging topic which is gaining lot of attention. Such …

Automatically recognizing sheep breeds is highly valuable for the sheep farming industry,
allowing farmers to pinpoint their specific business needs. Accurately distinguishing …

As defect detection in the three-dimensional printing process has been essential, especially
for fused deposition modeling (FDM), deep transfer learning is a promising technique for …

Simple Summary The accurate identification of individual animals is an important step in
precision breeding. However, the traditional identification methods have large defects. With …

Facial expressions of pain have been identified in several animal species. The aim of this
systematic review was to provide evidence on the measurement properties of grimace …