AI Medical Compendium Journal:
Journal of the science of food and agriculture

Showing 1 to 10 of 48 articles

Assessing the impact of low-temperature stress during anthesis stage on winter wheat grain development through computer vision and machine learning.

Journal of the science of food and agriculture
BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global warming, have become increasingly prevalent in the Huang-Huai-Hai Basin over the past 40 years, a key wheat-producing area in China. This study aims ...

Modulating physiological indices and metabolic energy models by leaf-to-bunch rachis ratio during the transition of dates from Rutab to Tamar-soft stage.

Journal of the science of food and agriculture
BACKGROUND: This study examined the impact of the leaf-to-bunch ratio (LBR) on the post-harvest quality and physiological characteristics of Mazafati dates. Three LBR ranges (1.5-2, 2-2.5, and 2.5-3) were evaluated to determine their influence on fru...

A yak bone collagen-derived antioxidant peptide with excellent stability alleviates UVA-induced photoaging by activating the Keap1/Nrf2 signaling pathway.

Journal of the science of food and agriculture
BACKGROUND: Prolonged exposure to ultraviolet A (UVA) rays can trigger oxidative stress, leading to skin photoaging. Our team previously identified four antioxidant peptides derived from yak bone collagen through bioinformatics prediction. The object...

Serratia marcescens G4 as a novel biocontrol strain against Sclerotinia sclerotiorum infection in soybean.

Journal of the science of food and agriculture
BACKGROUND: Sclerotinia is a soil-borne disease of soybean caused by Sclerotinia sclerotiorum, which seriously endangers the yield and quality of soybean. The purpose of this study was to explore effective biocontrol bacteria for controlling soybean ...

A novel method for online sex sorting of silkworm pupae (Bombyx mori) using computer vision combined with deep learning.

Journal of the science of food and agriculture
BACKGROUND: Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in the food, medicine, and cosmetic industries. Sex sorting is essential to enhance nutritional content and genetic traits in SP crossbreeding but it remains ...

Tea grading, blending, and matching based on computer vision and deep learning.

Journal of the science of food and agriculture
BACKGROUND: Accurate tea blending assessment and sample matching are critical in the tea production process. Traditional methods face efficiency and accuracy challenges, which can be addressed by advances in computer vision and deep learning. This st...

Rapid Raman spectroscopy analysis assisted with machine learning: a case study on Radix Bupleuri.

Journal of the science of food and agriculture
BACKGROUND: Radix Bupleuri has been widely used for its plentiful pharmacological effects. But it is hard to evaluate their safety and efficacy because the concentrations of components are tightly affected by the surrounding environment. Thus, Radix ...

Machine learning and multiple linear regression models can predict ascorbic acid and polyphenol contents, and antioxidant activity in strawberries.

Journal of the science of food and agriculture
BACKGROUND: Strawberry is a rich source of antioxidants, including ascorbic acid (ASA) and polyphenols, which have numerous health benefits. Antioxidant content and activity are often determined manually using laboratory equipment, which is destructi...

Simultaneously predicting SPAD and water content in rice leaves using hyperspectral imaging with deep multi-task regression and transfer component analysis.

Journal of the science of food and agriculture
BACKGROUND: Water content and chlorophyll content are important indicators for monitoring rice growth status. Simultaneous detection of water content and chlorophyll content is of significance. Different varieties of rice show differences in phenotyp...

Investigating the impact of climate variables on the organic honey yield in Turkey using XGBoost machine learning.

Journal of the science of food and agriculture
BACKGROUND: The Turkish organic honey industry, a major player in the global market, faces challenges due to climate fluctuations. Understanding the influence of climate factors on honey production is vital for sustainable farming and economic stabil...