AIMC Topic: Nutrients

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Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis.

PloS one Aug 16, 2022
With the recent advances in the field of alternate agriculture, there has been an ever-growing demand for aquaponics as a potential substitute for traditional agricultural techniques for improving sustainable food production. However, the lack of dat...
Agriculture Nutrients Machine Learning
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Validating Accuracy of an Internet-Based Application against USDA Computerized Nutrition Data System for Research on Essential Nutrients among Social-Ethnic Diets for the E-Health Era.

Nutrients Jul 31, 2022
Internet-based applications (apps) are rapidly developing in the e-Health era to assess the dietary intake of essential macro-and micro-nutrients for precision nutrition. We, therefore, validated the accuracy of an internet-based app against the Nutr...
Nutrients Carbohydrates Telemedicine Energy Intake United States Artificial Intelligence Internet Diet Vitamin B 12 United States Department of Agriculture
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Application of PSO-BPNN-PID Controller in Nutrient Solution EC Precise Control System: Applied Research.

Sensors (Basel, Switzerland) Jul 24, 2022
In this paper, we present a nutrient solution control system, designing a nutrient solution electrical conductivity (EC) sensing system composed of multiple long-range radio (LoRa) slave nodes, narrow-band Internet of Things (NB-IoT) master nodes, an...
Algorithms Neural Networks, Computer Nutrients Electric Conductivity
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Deep learning accurately predicts food categories and nutrients based on ingredient statements.

Food chemistry May 19, 2022
Determining attributes such as classification, creating taxonomies and nutrients for foods can be a challenging and resource-intensive task, albeit important for a better understanding of foods. In this study, a novel dataset, 134 k BFPD, was collect...
Artificial Intelligence Deep Learning Nutrients Food Neural Networks, Computer
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Cohort profile: Japanese human milk study, a prospective birth cohort: baseline data for lactating women, infants and human milk macronutrients.

BMJ open Dec 30, 2021
PURPOSE: The Japanese Human Milk Study, a longitudinal prospective cohort study, was set up to clarify how maternal health, nutritional status, lifestyle and sociodemographic and economic factors affect breastfeeding practices and human milk composit...
Breast Feeding Nutrients Fatty Acids Male Carbohydrates Child Humans Pregnancy Osteopontin Phospholipids Milk, Human Female Prospective Studies Japan Infant Vitamin D Cesarean Section Lactation Cohort Studies
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An Exploratory Approach to Deriving Nutrition Information of Restaurant Food from Crowdsourced Food Images: Case of Hartford.

Nutrients Nov 18, 2021
Deep learning models can recognize the food item in an image and derive their nutrition information, including calories, macronutrients (carbohydrates, fats, and proteins), and micronutrients (vitamins and minerals). This technology has yet to be imp...
Census Tract Nutritive Value Connecticut Photography Food Labeling Crowdsourcing Restaurants Deep Learning Food Analysis Nutrients Humans
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Combining novel technologies with interdisciplinary basic research to enhance horticultural crops.

The Plant journal : for cell and molecular biology Nov 10, 2021
Horticultural crops mainly include fruits, vegetables, ornamental trees and flowers, and tea trees (Melaleuca alternifolia). They produce a variety of nutrients for the daily human diet in addition to the nutrition provided by staple crops, and some ...
Nutrients Trees Fruit Artificial Intelligence Computational Biology Crops, Agricultural Bioengineering Plant Breeding Vegetables Flowers Climate Change Interdisciplinary Research Horticulture
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An Innovative Machine Learning Approach to Predict the Dietary Fiber Content of Packaged Foods.

Nutrients Sep 14, 2021
Underconsumption of dietary fiber is prevalent worldwide and is associated with multiple adverse health conditions. Despite the importance of fiber, the labeling of fiber content on packaged foods and beverages is voluntary in most countries, making ...
Fast Foods Humans Nutritive Value Machine Learning Automation Algorithms Beverages Food Packaging Feeding Behavior Diet Nutritional Status Food Analysis Dietary Fiber Food Labeling Energy Intake Australia Nutrients Nutrition Policy
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Application of deep learning for image-based Chinese market food nutrients estimation.

Food chemistry Aug 31, 2021
With commercialization of deep learning (DL) models, daily precision dietary record based on images from smartphones becomes possible. This study took advantage of DL techniques on visual recognition tasks and proposed a suite of big-data-driven DL m...
Nutrients Artificial Intelligence Neural Networks, Computer Deep Learning China
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Machine Learning Strategy for Soil Nutrients Prediction Using Spectroscopic Method.

Sensors (Basel, Switzerland) Jun 19, 2021
The research presented in this paper is based on the hypothesis that the machine learning approach improves the accuracy of soil properties prediction. The correlations obtained in this research are important for understanding the overall strategy fo...
Nutrients Spectrum Analysis Soil Support Vector Machine Bayes Theorem Machine Learning
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