Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to
compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the …

Fruit loading and packaging are still labor-intensive tasks during postharvest
commercialization, of which the key issues is to realize the real-time detection and …

Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …

Deep Learning (DL) has been described as one of the key subfields of Artificial Intelligence
(AI) that is transforming weed detection for site-specific weed management (SSWM). In the …

Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

This study aimed to produce a robust real-time pear fruit counter for mobile applications
using only RGB data, the variants of the state-of-the-art object detection model YOLOv4, and …

Abstract The Internet of Things (IoT) and the relevant technologies have had a significant
impact on smart farming as a major sub-domain within the field of agriculture. Modern …

In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …