Significant advances in the field of digital image processing have been achieved in recent
years using deep learning, which has significantly exceeded previous methods. Deep …

Recent years have seen the emergence of various precision weed management
technologies in both research and commercial contexts. These technologies better target …

The implementation of a machine-vision system for real-time precision weed management is
a crucial step towards the development of smart spraying robotic vehicles. The intelligent …

Soil surface texture classification is a critical aspect of agriculture and soil science that
affects various soil properties, such as water-holding capacity and soil nutrient retention …

When it comes to computer vision, scene parsing is a crucial part of semantic segmentation.
It has a wide range of applications, including autonomous driving, robotics, gaming, natural …

Consistency of crop establishment is a measure of uniformity of crop attributes, such as plant
stand count, crop emergence rate, and plant spacing across the field. Quantifying …

Wheat lodging is a serious problem affecting grain yield, plant health, and grain quality.
Addressing the lodging issue in wheat is a desirable task in breeding programs. Precise …

Deep learning has shown potential in domains with large-scale annotated datasets.
However, manual annotation is expensive, time-consuming, and tedious. Pixel-level …

Image segmentation is a crucial task in computer vision, which divides a digital image into
multiple segments and objects. In agriculture, image segmentation is extensively used for …

Weeds pose a significant threat to agricultural production, leading to substantial yield losses
and increased herbicide usage, with severe economic and environmental implications. This …