A growing number of routine and research activities in a wide variety of fields, have the certain types of objects (people, flowers, cells, etc.) as one of their main components. Flower counting is used in yield
However, few studies focus on the quantity acquisition of flowers directly from the image using remote sensing technology. Spatial resolution is a challenge for multispectral and satellite imaging, especially when counting small objects. Oilseed rape is a crop species with remarkable flowers during ...
An approach based on density map prediction, that addresses the challenge of high flower density in an image is presented by [19], where the estimation of litchi flowers is achieved using a density map instead of detecting each individual flower instance in an image; using a multi-column neura...
However, few studies focus on the quantity acquisition of flowers directly from the image using remote sensing technology. Spatial resolution is a challenge for multi- spectral and satellite imaging, especially when counting small objects. Oilseed rape is a crop species with remarkable flow- ers ...
Bai et al. (2024) developed an improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings based on YOLOv7, using a Swin-Transformer prediction head to enhance spatial interaction and detection of small targets, and constructing an efficient convolution to suppress shallow noise...
Flowers et al. [10] used spectral information from aerial photographs to predict wheat tiller density through correlation with a series of vegetation indexes (VIs). The results demon- strated that the VIs were reliable indicators for estimating wheat tiller density in the field. Since then, ...
People stamp on the grave, they place wreaths of plastic flowers and strands of gladiolus on top. Afterwards, we all go home to sleep. Only the kids are left awake—Beryl, Stephanie and Kanawi all running down the rocky path throwing stones at the water. Security Many years later, Leonie...
The flower region from input image is segmented using global threshoding technique using OTSU's algorithm. Experiment is conducted in MATLAB on two distinct databases of marigold flower images, the results have shown that the accuracy is over 92% to detect and count the number of flowers from ...
In response to the afore- mentioned issues, this paper introduces a novel filter pruning concept for detection and counting tasks, using pineapple flowers as the experimental application. The primary inno- vations of this paper are as follows: (a) We propose an optimized general filter pruning ...
(Afonso et al., 2020), flowers (Farjon et al., 2020), and leaves (Xie et al., 2023) can be accurately detected and counted by using deep learning techniques, which not only reduce the labor intensity of manually measuring phenotypic information but also are critical steps for automating ...