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Machine Learning for Seed Quality Classification: An Advanced Approach Using Merger Data from FT-NIR Spectroscopy and X-ray Imaging
The models developed using both NIR spectra and X-ray imaging data in machine learning algorithms are efficient in quickly, non-destructively, and accurately identifying the capacity of seed to germinate.
Detection of Drechslera avenae (Eidam) Sharif [Helminthosporium avenae (Eidam)] in Black Oat Seeds (Avena strigosa Schreb) Using Multispectral Imaging
- Fabiano França-Silva, Carlos Henrique Queiroz Rego, F. G. Gomes‐Junior, M. H. D. Moraes, A. D. Medeiros, C. B. Silva
- Medicine, Computer ScienceSensors
- 1 June 2020
The high precision of the classifier showed that the method using images captured in the Ultraviolet A region (365 nm) could be easily used to classify black oat seeds according to their health status, and results can be achieved more rapidly and effectively compared to conventional methods.
Automated system of seedling image analysis (SVIS) and electrical conductivity to assess sun hemp seed vigor
The development of new procedures for quickly obtaining accurate information on the physiological potential of seed lots is essential for developing quality control programs for the seed industry. In…
Controlled deterioration test and use of the Seed Vigor Imaging System (SVIS ® ) to evaluate the physiological potential of crambe seeds
The aim of this study was to adapt the methodology of the controlled deterioration test and verify the efficiency of the Seed Vigor Imaging System (SVIS®) to evaluate the vigor of crambe seeds.
Hormetic effects of low-dose gamma rays in soybean seeds and seedlings: A detection technique using optical sensors
Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea
- Carlos Henrique Queiroz Rego, Fabiano França-Silva, F. G. Gomes‐Junior, M. H. D. Moraes, A. D. Medeiros, C. B. Silva
- 17 August 2020
Results demonstrated that the LDA-based models were efficient in detecting and identifying different species of fungi in cowpea seeds, indicating that the MSI technique in combination with statistical models can be a useful tool for evaluating the health status of cowpeA seeds.
Accelerated aging as vigor test for sunn hemp seeds
Accelerated aging test with sodium chloride saturated solution is the most appropriate method to evaluate the physiological potential of sunn hemp seeds, and the combination of 41°C and 96 hours is efficient for separating of seed lots in different vigor levels.
Physiological potential of eggplant seeds
It was concluded that the physiological potential of eggplant seeds can be evaluated using AA for 48 h/41 °C and controlled deterioration at 24% moisture content/ 24 h/45 °C.
Controlled deterioration test for evaluation of sunn hemp seed vigor
- Arthur Batoqui Costa e Silva, Í. M. Galvão, R. M. Barbosa, C. B. Silva, R. D. Vieira
- 1 December 2015
The controlled deterioration test is efficient for seed vigor evaluation of several species. However, the procedures conditions are incipient, especially in respect to tropical forages such as sunn…
Performance of Bell Pepper Seeds in Response to Drum Priming with Addition of 24-Epibrassinolide
The aim of this study was to verify the feasibility of drum priming associated with added 24-EpiBL on enhancement of bell pepper seed performance and to demonstrate viability for commercial treatment and enhancement ofBell pepper seeds.