A generalized model for accurate wheat spike detection and counting in complex scenarios
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-75523-w
Abstract: Wheat is a crucial crop worldwide, and accurate detection and counting of wheat spikes are vital for yield estimation and breeding. However, these tasks are daunting in complex field environments. To tackle this, we introduce… read more here.
Keywords: wheat; wheat spikes; model; wheat spike ... See more keywords
Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2021.673505
Abstract: Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity rely on human assessments, but this technique could have limitations. Reliable visual… read more here.
Keywords: blast; classification; wheat spike; deep convolutional ... See more keywords
Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on an Optimized Hybrid Task Cascade Model
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.834938
Abstract: Precise segmentation of wheat spikes from a complex background is necessary for obtaining image-based phenotypic information of wheat traits such as yield estimation and spike morphology. A new instance segmentation method based on a Hybrid… read more here.
Keywords: segmentation method; wheat; hybrid task; wheat spike ... See more keywords
Enhancing Wheat Spike Counting and Disease Detection Using a Probability Density Attention Mechanism in Deep Learning Models for Precision Agriculture
Sign Up to like & getrecommendations! Published in 2024 at "Plants"
DOI: 10.3390/plants13243462
Abstract: This study aims to improve the precision of wheat spike counting and disease detection, exploring the application of deep learning in the agricultural sector. Addressing the shortcomings of traditional detection methods, we propose an advanced… read more here.
Keywords: detection; disease detection; precision; density ... See more keywords