COMPREHENSIVE INVESTIGATION OF MACHINE LEARNING AND DEEP LEARNING NETWORKS FOR IDENTIFYING MULTISPECIES TOMATO INSECT IMAGES

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning models to enhance crop yield and nutrition.Tomato (Solanum lycopersicum), a vegetable crop, frequently suffers from pest damage and drought, leading to reduced yields and financial losses to farmers.Accurate detection and classification of tomato pests

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Intense sweetness surpasses copyright reward.

BackgroundRefined sugars (e.g., sucrose, fructose) were absent in the diet of most people until very recently in human history.Today overconsumption of diets rich in sugars contributes together with other factors to drive the current obesity epidemic.Overconsumption of sugar-dense foods or beverages is initially motivated by the pleasure of sweet t

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Efficacy of l-cysteine in increasing circulatory hydrogen sulfide, nitrite, and 25-hydroxyvitamin D levels in Zucker diabetic fatty rats and in vitro treatment of hydrogen sulfide and nitrite in upregulating vitamin D hydroxylase genes in monocytes

ABSTRACT: Dairy products, such as whey proteins, have been effectively used to enhance the effectiveness of vitamin D (VD) fortification and optimize armada tantrum skis circulating 25-hydroxyvitamin D [25(OH)VD] levels.Whey protein is rich in l-cysteine (LC) which is the precursor of hydrogen sulfide (H2S), enhances glutathione (GSH) biosynthesis,

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An ecological and floristic study of the diatoms in Babolrud river

Epilithic diatoms are a division of Bacillariophyceae hellcat spark plugs which live on stone and hard surfaces.This study was aimed to investigate the population dynamics of diatoms in Babolrud river.Samples were collected from 5 stations from May 2012 through September 2012 in a monthly interval.Temperature, pH, NO3-, PO4- and (EC) were measured

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