Translating high-throughput phenotyping into genetic gain
Inability to efficiently implement high-throughput field phenotyping is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenotyping must …
as a key component that limits genetic gain in breeding programs. Field phenotyping must …
High-throughput estimation of crop traits: A review of ground and aerial phenotyping 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 …
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 …
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 …
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 …
Detection and analysis of wheat spikes using convolutional neural networks
Background Field phenotyping 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 …
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 …
DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks
Crop yield is an essential measure for breeders, researchers, and farmers and is composed
of and may be calculated by the number of ears per square meter, grains per ear, and …
of and may be calculated by the number of ears per square meter, grains per ear, and …