AIMC Topic: Seeds

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phenoSeeder - A Robot System for Automated Handling and Phenotyping of Individual Seeds.

Plant physiology
The enormous diversity of seed traits is an intriguing feature and critical for the overwhelming success of higher plants. In particular, seed mass is generally regarded to be key for seedling development but is mostly approximated by using scanning ...

ANTIOXIDANT ACTIVITY AND FT-IR ANALYSIS OF AND LEAF AND SEED METHANOLIC EXTRACTS.

African journal of traditional, complementary, and alternative medicines : AJTCAM
BACKGROUND: (family- Solanaceae), has a long history of being used as herbal medicine. These medicinal effects have been attributed to the phytochemicals present in the plant leaves and seeds, in particular alkaloids, flavonoids and phenolic compoun...

Antifungal activity of Momordica charantia seed extracts toward the pathogenic fungus Fusarium solani L.

Journal of food and drug analysis
Momordica charantia L., a vegetable crop with high nutritional value, has been used as an antimutagenic, antihelminthic, anticancer, antifertility, and antidiabetic agent in traditional folk medicine. In this study, the antifungal activity of M. char...

Combination of the Manifold Dimensionality Reduction Methods with Least Squares Support vector machines for Classifying the Species of Sorghum Seeds.

Scientific reports
This study was carried out for rapid and noninvasive determination of the class of sorghum species by using the manifold dimensionality reduction (MDR) method and the nonlinear regression method of least squares support vector machines (LS-SVM) combi...

Purification and biochemical properties of SDS-stable low molecular weight alkaline serine protease from Citrullus colocynthis.

Natural product research
A low molecular weight serine protease from seeds of Citrullus colocynthis was purified to electrophoretic homogeneity with high level of catalytic efficiency (22,945 M(-1) S(-1)). The enzyme was a monomer with molecular mass of 25 kDa estimated by S...

Rapid detection of the viability of naturally aged maize seeds using multimodal data fusion and explainable deep learning techniques.

Food chemistry
Seed viability, a key indicator for quality assessment, directly impacts the emergence of field seedlings. The existing nondestructive testing model for maize seed vitality based on naturally aged seeds and predominantly relying on single-modal data ...

Rapid identification of coffee species and origin using affordable multi-channel spectral sensor combined with machine learning.

Food research international (Ottawa, Ont.)
The rapid identification of coffee species and origin is critical for ensuring quality control and authenticity in the coffee industry. This study explores the use of an affordable multi-channel spectral sensor, AS7265X (410-940 nm), combined with ma...

Hyperspectral imaging combined with DBO-SVM for the germination prediction of thermally damaged seeds.

Analytical methods : advancing methods and applications
Healthy development of the maize seed industry plays a key role in the effective supply of agricultural products and ensures national food security. Thermal damage to seeds significantly affects crop yield, seed vitality and nutritional value, making...

Corn Seed Freezing Damage Identification of Different Sides Based on Hyperspectral Imaging and SPA-2DCOS Fusion Algorithm.

Molecules (Basel, Switzerland)
In order to improve the utilization efficiency of corn seeds and meet the demand of single-seed seeding technology in agriculture, this study was conducted to explore the effect of freezing damage detection on the endosperm and embryo sides of single...