Translating high-throughput phenoty** into genetic gain
Inability to efficiently implement high-throughput field phenoty** is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
as a key component that limits genetic gain in breeding programs. Field phenoty** must …
High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
[HTML][HTML] A wheat spike detection method in UAV images based on improved YOLOv5
Deep-learning-based object detection algorithms have significantly improved the
performance of wheat spike detection. However, UAV images crowned with small-sized …
performance of wheat spike detection. However, UAV images crowned with small-sized …
Ear density estimation from high resolution RGB imagery using deep learning technique
Wheat ear density estimation is an appealing trait for plant breeders. Current manual
counting is tedious and inefficient. In this study we investigated the potential of convolutional …
counting is tedious and inefficient. In this study we investigated the potential of convolutional …
Detection and analysis of wheat spikes using convolutional neural networks
Background Field phenoty** by remote sensing has received increased interest in recent
years with the possibility of achieving high-throughput analysis of crop fields. Along with the …
years with the possibility of achieving high-throughput analysis of crop fields. Along with the …
Image segmentation, classification, and recognition methods for wheat diseases: Two Decades' systematic literature review
Context Due to wheat diseases (WD), the global rate of wheat production is decreasing by
3.6% annually. With the help of computer vision technology, WD recognition is not a …
3.6% annually. With the help of computer vision technology, WD recognition is not a …
From open set to closed set: Counting objects by spatial divide-and-conquer
Visual counting, a task that predicts the number of objects from an image/video, is an open-
set problem by nature, ie, the number of population can vary in [0,+[?]) in theory. However …
set problem by nature, ie, the number of population can vary in [0,+[?]) in theory. However …
[HTML][HTML] Rapid detection and counting of wheat ears in the field using YOLOv4 with attention module
B Yang, Z Gao, Y Gao, Y Zhu - Agronomy, 2021 - mdpi.com
The detection and counting of wheat ears are very important for crop field management,
yield estimation, and phenotypic analysis. Previous studies have shown that most methods …
yield estimation, and phenotypic analysis. Previous studies have shown that most methods …
[HTML][HTML] Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives
Plant phenomics (PP) has been recognized as a bottleneck in studying the interactions of
genomics and environment on plants, limiting the progress of smart breeding and precise …
genomics and environment on plants, limiting the progress of smart breeding and precise …
A multiscale point-supervised network for counting maize tassels in the wild
Accurate counting of maize tassels is essential for monitoring crop growth and estimating
crop yield. Recently, deep-learning-based object detection methods have been used for this …
crop yield. Recently, deep-learning-based object detection methods have been used for this …