Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenotyping is following this trend. However, despite its potential, the …

In complex environments, overlapping leaves and uneven light can make pixels of leaf
edges difficult to identify, resulting in a poor segmentation performance of the target leaf. In …

Accurate detection of plant leaves is a meaningful and challenging task for developing smart
agricultural systems. To improve the performance of detecting plant leaves in natural scenes …

Crop health monitoring and weed removal are two crucial elements dictating efficient,
productive and resilient cultivation. Due to frequent attacks by pest and pathogens, the crops …

Plant image analysis is a significant tool for plant phenotyping. Image analysis has been
used to assess plant trails, forecast plant growth, and offer geographical information about …

Abstract Integrated Pest Management (IPM) is an essential approach used in smart
agriculture to manage pest populations and sustainably optimize crop production. One of the …

The segmentation of pepper leaves from pepper images is of great significance for the
accurate control of pepper leaf diseases. To address the issue, we propose a bidirectional …

The precise identification and localization of fish entities within visual data is essential in
diverse domains, such as marine biology and fisheries management, within computer vision …

Disease severity grading is the primary decision-making basis for the amount of pesticide
usage in vegetable disease prevention and control. Based on deep learning, this paper …

Crop counting plays different roles in different growth stages. The counting of the early stage
is used to evaluate seed germination rate and seedling survival rate, the counting during …