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1. Full Text Phylogeny and classification of Rosaceae
by D. Potter and T. Eriksson and R. C. Evans and S. Oh and J. E. E. Smedmark and D. R. Morgan and M. Kerr and K. R. Robertson and M. Arsenault and T. A. Dickinson and C. S. Campbell
Plant Systematics and Evolution, ISSN 0378-2697, 1/2007, Volume 266, Issue 1/2, pp. 5 - 43
Phylogenetic relationships among 88 genera of Rosaceae were investigated using nucleotide sequence data from six nuclear (18S, gbssi1, gbssi2, ITS, pgip, and... 
Datasets | Taxa | Chloroplasts | Ploidies | Parsimony | Phylogenetics | Evolution | Phylogeny | Ovaries | Genera | Life Sciences | chromosome number | Plant Anatomy/Development | Plant Systematics/Taxonomy/Biogeography | Pyrodae | Kerriodae | fruit type | Plant Sciences | Rosodae | Plant Ecology | Chromosome number | Fruit type | X DOMESTICA BORKH | FLORAL ONTOGENY | EVOLUTIONARY BIOLOGY | NUCLEAR RIBOSOMAL DNA | POLYPHENOL OXIDASE | NUCLEOTIDE-SEQUENCE DATA | MALOIDEAE ROSACEAE | CHLOROPLAST DNA | SYNTHASE GBSSI GENE | INTERNAL TRANSCRIBED SPACERS | COMPARATIVE MORPHOLOGY | PLANT SCIENCES | Nucleotide sequence | Classification | Nucleotides | Bayesian analysis
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2. Full Text Atmospheric pressure chemical ionisation mass spectrometry analysis linked with chemometrics for food classification – A case study: Geographical provenance and cultivar classification of monovarietal clarified apple juices
by Gan, Heng-Hui and Soukoulis, Christos and Fisk, Ian
Food Chemistry, ISSN 0308-8146, 03/2014, Volume 146, pp. 149 - 156
In the present work, we have evaluated for first time the feasibility of APCI-MS volatile compound fingerprinting in conjunction with chemometrics (PLS-DA) as... 
Authenticity | Apple | PLS-DA | APCI-MS | Chemometric techniques | QUALITY | FOOD SCIENCE & TECHNOLOGY | ORANGE JUICE | ADULTERATION | VOLATILE COMPOUNDS | PTR-MS | AROMA DELIVERY | IN-VITRO | NUTRITION & DIETETICS | OIL | MS HEADSPACE ANALYSIS | CHEMISTRY, APPLIED | FLAVOR | Geography | Malus - classification | Beverages - classification | Malus - chemistry | Chemistry Techniques, Analytical - methods | Mass Spectrometry - methods | Beverages - analysis | Discriminant Analysis | Case studies | Juice industry | Mass spectrometry | Analysis | Fruit juices | Acetaldehyde
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3. Full Text Fruit classification using computer vision and feedforward neural network
by Zhang, Yudong and Wang, Shuihua and Ji, Genlin and Phillips, Preetha
Journal of Food Engineering, ISSN 0260-8774, 12/2014, Volume 143, pp. 167 - 177
Fruit classification is a difficult challenge due to the numerous types of fruits. In order to recognize fruits more accurately, we proposed a hybrid... 
Unser’s texture analysis | Shape feature | Color histogram | Fitness-scaled chaotic artificial bee colony | Feedforward neural network | Unser's texture analysis | SYSTEM | FOOD SCIENCE & TECHNOLOGY | ALGORITHM | FILTERS | PATTERNS | COOCCURRENCE | GLCM | PREDICTION | IMAGE SEGMENTATION | ENGINEERING, CHEMICAL | SUPPORT VECTOR MACHINE | OPTIMIZATION | Machine vision | Neural networks | Accuracy | Algorithms | Classification | Images | Feedforward | Texture | Fruits
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4. Full Text Heat shock transcriptional factors in malus domestica: Identification, classification and expression analysis
by Giorno, F and Guerriero, G and Baric, S and Mariani, C
BMC Genomics, ISSN 1471-2164, 2012, Volume 13, Issue 1, pp. 639 - 639
Background: Heat shock transcriptional factors (Hsfs) play a crucial role in plant responses to biotic and abiotic stress conditions and in plant growth and... 
Hsf | Malus domestica | High temperature | Gene expression | Apple fruit/ flower | DUPLICATIONS | STRESS RESPONSE | ACQUIRED THERMOTOLERANCE | GENOME | FAMILY | HSFA2 | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | GENETICS & HEREDITY | PLANTS | ARABIDOPSIS | PROTEINS | Apple fruit/flower | TOMATO | Genome-Wide Association Study | Genome, Plant - genetics | Chromosome Duplication | Gene Expression Profiling | Populus - genetics | Phylogeny | Transcription Factors - genetics | DNA-Binding Proteins - genetics | Sequence Analysis, DNA | Malus - genetics | Arabidopsis - metabolism | Heat Shock Transcription Factors | Arabidopsis - genetics | Heat-Shock Proteins - genetics | Plant Proteins - genetics | Malus - metabolism | Genes, Plant - genetics | Base Sequence | Populus - metabolism | Gene Expression Regulation, Plant | Plant Proteins - metabolism | Evolution, Molecular | Physiological aspects | Heat shock proteins | Apple | Genetic aspects | Research | Arabidopsis thaliana | Genes | Analysis | Genomics | Genomes | Genetic transcription | Heat | Genetics | Amino acids | Chromosomes | Molecular weight | Transcription factors | Transcription | Gene families | Crops | Data processing | Flowers | Fruit trees | Environmental effects | Stress | Fruits | Heat shock factors | Polymerase chain reaction | Leaves | Temperature effects | Classification | Development | Heat shock
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5. Full Text Classification of fruits and vegetables
by Pennington, Jean A.T and Fisher, Rachel A
Journal of Food Composition and Analysis, ISSN 0889-1575, 2009, Volume 22, pp. S23 - S31
Classifications for fruits and vegetables are most helpful for dietary assessment and guidance if they are based on the composition of these foods. This work... 
Antioxidants | Dietary guidance | Total antioxidant capacity | Vegetables | Classification | TAC | Dietary assessment | Food composition | Phytonutrients | Fruits | FOOD SCIENCE & TECHNOLOGY | ANTIOXIDANT CAPACITY | SEEDS | FOOD GUIDANCE-SYSTEM | FATTY-ACID | CHEMISTRY, APPLIED | Legumes | Beans | Phytochemicals | Algorithms | Fruit | Analysis | Mimosaceae | Produce industry
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6. Full Text The un Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing
by Monteiro, Carlos Augusto and Cannon, Geoffrey and Moubarac, Jean-Claude and Levy, Renata Bertazzi and Louzada, Maria Laura C and Jaime, Patrícia Constante
Public Health Nutrition, ISSN 1368-9800, 01/2018, Volume 21, Issue 1, pp. 5 - 17
Given evident multiple threats to food systems and supplies, food security, human health and welfare, the living and physical world and the biosphere, the... 
NOVA | Ultra-processed food | Decade of Nutrition | Food processing | Sustainable Development Goals | The Anthropocene | QUALITY | DIETARY GUIDELINES | LIKELY IMPACT | DRINK PRODUCTS | OBESITY | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | NUTRITION & DIETETICS | TO-CONSUME FOOD | AVAILABILITY | INVESTMENT | PURCHASES | US | Health care | Additives | Salts | Seeds | Poultry | Income | Shelf life | Starches | Sustainable development | Fruits | Sustainability | Classification | Biosphere | Nutrients | Population | Malnutrition | Meals | Beverages | Public health | Sugars | Sugar | Milk | Food | Formulations | Obesity | Legumes | High income | Nutrition | Food production | Food products | Preventive medicine | International organizations | Micronutrients | Diet | Food security | Food processing industry | Dietary fiber
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7. Full Text A TSS classification study of ‘Rocha’ pear (Pyrus communis L.) based on non-invasive visible/near infra-red reflectance spectra
by Bexiga, Florentino and Rodrigues, Daniela and Guerra, Rui and Brázio, António and Balegas, Tiago and Cavaco, Ana M and Antunes, Maria Dulce and Valente de Oliveira, José
Postharvest Biology and Technology, ISSN 0925-5214, 10/2017, Volume 132, pp. 23 - 30
The study focuses on the application of machine learning techniques for classifying the internal quality of ‘Rocha’ Pear ( L.), i.e., the total soluble solids... 
Data analysis | Non-invasive sensor data | Diffuse reflectance spectroscopy | TSS | Classification | Machine learning | HORTICULTURE | AGRONOMY | QUALITY | SPECTROSCOPY | FRUIT | FOOD SCIENCE & TECHNOLOGY | Information management | Sensors | Analysis
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8. The elderberry
: history, classification, and culture
by Ritter, C. M and McKee, G. W and Pennsylvania State University. Agricultural Experiment Station
1964, Bulletin, Volume 709., 22
Berries | Sambucus | Histoire | History | Sureaux | Baies (Fruits)
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9. Full Text Fruit classification by biogeography‐based optimization and feedforward neural network
by Zhang, Yudong and Phillips, Preetha and Wang, Shuihua and Ji, Genlin and Yang, Jiquan and Wu, Jianguo
Expert Systems, ISSN 0266-4720, 06/2016, Volume 33, Issue 3, pp. 239 - 253
Accurate fruit classification is difficult to accomplish because of the similarities among the various categories. In this paper, we proposed a novel... 
genetic algorithm | fruit classification | artificial bee colony | feed‐forward neural network | support vector machine | ant colony optimization | particle swarm optimization | biogeography‐based optimization | feed-forward neural network | biogeography-based optimization | SYSTEM | ROBUST APPROACH | PERFORMANCE | ALGORITHM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | COMPUTER VISION | TRANSFORM | COMPUTER SCIENCE, THEORY & METHODS | ENTROPY | Algorithms | Image processing | Neural networks | Analysis | Biogeography | Mathematical optimization | Bees | Studies | Classification | Fruits | Accuracy | Categories | Feedforward | Texture | Optimization
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10. Full Text A GC–MS untargeted metabolomics approach for the classification of chemical differences in grape juices based on fungal pathogen
by Schueuermann, Claudia and Steel, Christopher C and Blackman, John W and Clark, Andrew C and Schwarz, Lachlan J and Moraga, Javier and Collado, Isidro G and Schmidtke, Leigh M
Food Chemistry, ISSN 0308-8146, 01/2019, Volume 270, pp. 375 - 384
Fungal bunch rot of grapes leads to production of detrimental flavour compounds, some of which are well characterised but others remain unidentified. The... 
eremophilen | benzaldehyde | metabolite | bunch rot | dimethyltetralin | Volatile | 2-pentylfuran | quality | PROFILES | METABOLITES | OFF-FLAVORS | BOTRYTIS-CINEREA | FOOD SCIENCE & TECHNOLOGY | VOLATILE COMPOUNDS | CHROMATOGRAPHY | VARIABLE SELECTION | MASS-SPECTROMETRY | RED WINES | VARIETAL AROMA | NUTRITION & DIETETICS | CHEMISTRY, APPLIED | Metabolomics | Botrytis | Gas Chromatography-Mass Spectrometry | Vitis - chemistry | Fruit | Fruit and Vegetable Juices - microbiology | Fruit and Vegetable Juices - analysis | Vitis - microbiology | Metabolites | Analysis | Sesquiterpenes | Acetic acid | Alcoholic beverage industry | Organic acids | Fruit juices
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11. Full Text Leg-tracking and automated behavioural classification in Drosophila
by Kain, Jamey and Stokes, Chris and Gaudry, Quentin and Song, Xiangzhi and Foley, James and Wilson, Rachel and De Bivort, Benjamin
Nature Communications, ISSN 2041-1723, 2013, Volume 4, Issue 1, p. 1910
Much remains unknown about how the nervous system of an animal generates behaviour, and even less is known about the evolution of behaviour. How does evolution... 
PERSONALITY | SYSTEM | WALKING | MULTIDISCIPLINARY SCIENCES | FRUIT-FLIES | INSECT | MELANOGASTER | Automation | Algorithms | Animals | Drosophila melanogaster - physiology | Coloring Agents - metabolism | Ethology - methods | Behavior, Animal - physiology | Extremities - physiology
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12. Full Text Postharvest classification of banana (Musa acuminata) using tier-based machine learning
by Piedad, Eduardo Jr and Larada, Julaiza I and Pojas, Glydel J and Ferrer, Laura Vithalie V
Postharvest Biology and Technology, ISSN 0925-5214, 11/2018, Volume 145, pp. 93 - 100
Manual classification of horticultural products contributes to postharvest losses but technology and emerging algorithms offer solutions to reduce such losses.... 
Fruit classification | Musa acuminata | Banana tier | Machine learning | HORTICULTURE | AGRONOMY | FOOD SCIENCE & TECHNOLOGY | FEEDFORWARD NEURAL-NETWORK | FRESH | TOMOGRAPHY IMAGES | Electrical engineering | Algorithms | Neural networks | Analysis
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13. Full Text A comprehensive review of fruit and vegetable classification techniques
by Hameed, Khurram and Chai, Douglas and Rassau, Alexander
Image and Vision Computing, ISSN 0262-8856, 12/2018, Volume 80, pp. 24 - 44
Recent advancements in computer vision have enabled wide-ranging applications in every field of life. One such application area is fresh produce... 
Computer vision | Fruit | Produce classification | Classification | Machine learning | Recognition | Vegetable | TEXTURE FEATURES | SHAPE REPRESENTATION | CHILLING INJURY | FIRMNESS MEASUREMENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | COMPUTER SCIENCE, SOFTWARE ENGINEERING | NATURAL SCENES | COLOR | IMAGE-ANALYSIS | OBJECT RECOGNITION | QUALITY EVALUATION | COMPUTER SCIENCE, THEORY & METHODS | OPTICS
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