Detection of maize seed germination rate based on improved locally linear embedding
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Detection of maize seed germination rate based on improved locally linear embedding
Authors
Keywords
-
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 204, Issue -, Pages 107514
Publisher
Elsevier BV
Online
2022-11-26
DOI
10.1016/j.compag.2022.107514
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep convolution neural network with weighted loss to detect rice seeds vigor based on hyperspectral imaging under the sample-imbalanced condition
- (2022) Na Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Prediction of Maize Seed Vigor Based on First-Order Difference Characteristics of Hyperspectral Data
- (2022) Huawei Cui et al. Agronomy-Basel
- Discriminant analysis and comparison of corn seed vigor based on multiband spectrum
- (2021) Yali Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy
- (2020) Leonardo Deiss et al. GEODERMA
- Locally lateral manifolds of normalised Gabor features for face recognition
- (2020) Fadhlan Hafizhelmi Kamaru Zaman IET Computer Vision
- Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods
- (2020) Anna Pudełko et al. GEODERMA
- Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach
- (2020) Te Ma et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Comparison of near-infrared (NIR) and mid-infrared (MIR) spectroscopy based on chemometrics for saffron authentication and adulteration detection
- (2020) Arian Amirvaresi et al. FOOD CHEMISTRY
- Potential of the electrical conductivity of seed soak water and early counts of radicle emergence to assess seed quality in some native species
- (2018) Maria Marin et al. SEED SCIENCE AND TECHNOLOGY
- Identification of Maize Kernel Vigor under Different Accelerated Aging Times Using Hyperspectral Imaging
- (2018) Lei Feng et al. MOLECULES
- QSPR study on the flash point of organic binary mixtures by using electrotopological state index
- (2016) Long Jiao et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Comparative nondestructive measurement of corn seed viability using Fourier transform near-infrared (FT-NIR) and Raman spectroscopy
- (2016) Ashabahebwa Ambrose et al. SENSORS AND ACTUATORS B-CHEMICAL
- The Ant Lion Optimizer
- (2015) Seyedali Mirjalili ADVANCES IN ENGINEERING SOFTWARE
- Bearing Fault Diagnosis Based on Statistical Locally Linear Embedding
- (2015) Xiang Wang et al. SENSORS
- A New Approach to Change Vector Analysis Using Distance and Similarity Measures
- (2011) Osmar A. Carvalho Júnior et al. Remote Sensing
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation