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505 results for “apples”
The CAPA Apple Quality Grading Multi-Spectral Image Database
<p>The CAPA Apple Quality Grading Multi-Spectral Image Database consists of multispectral (450nm, 500nm, 750nm, and 800nm) images of health and defected apples of bi-color, manual segmentations of defected regions, and expert evaluations of the apples into 4 quality categories. The defect types consist of bruise, rot, flesh damage, frost damage, russet, etc. The database can be used for academic or research purposes with the aim of computer vision based apple quality inspection.</p> <p>The CAPA Apple Quality Grading Multi-Spectral Image Database is a propriety of ULG (Gembloux Agro-Bio Tech) - Belgium, and cannot be used without the consent of the ULG (Gembloux Agro-Bio Tech), Belgium. <br> For consent, contact<br> Devrim Unay, İzmir University of Economics, Turkey: unaydevrim@gmail.com<br> OR<br> Marie-France Destain, Gembloux Agro-Bio Tech, Belgium: mfdestain@ulg.ac.be</p> <p><br> In disseminating results using this database, <br> 1. the author should indicate in the manuscript that it was acquired by ULG (Gembloux Agro-Bio Tech), Belgium.<br> 2. cite the following article Kleynen, O., Leemans, V., & Destain, M.-F. (2005). Development of a multi-spectral vision system for the detection of defects on apples. Journal of Food Engineering, 69(1), 41-49.</p> <p>Relevant publications:<br> Kleynen et al., 2003 O. Kleynen, V. Leemans and M.F. Destain, Selection of the most efficient wavelength bands for ‘Jonagold’ apple sorting. Postharv. Biol. Technol., 30 (2003), pp. 221–232.<br> Leemans and Destain, 2004 V. Leemans and M.F. Destain, A real-time grading method of apples based on features extracted from defects. J. Food Eng., 61 (2004), pp. 83–89.<br> Leemans et al., 2002 V. Leemans, H. Magein and M.F. Destain, On-line fruit grading according to their external quality using machine vision. Biosyst. Eng., 83 (2002), pp. 397–404.<br> Unay and Gosselin, 2006 D. Unay and B. Gosselin, Automatic defect detection of ‘Jonagold’ apples on multi-spectral images: A comparative study. Postharv. Biol. Technol., 42 (2006), pp. 271–279.<br> Unay and Gosselin, 2007 D. Unay and B. Gosselin, Stem and calyx recognition on ‘Jonagold’ apples by pattern recognition. J. Food Eng., 78 (2007), pp. 597–605.<br> Unay et al., 2011 Unay, D., Gosselin, B., Kleynen, O, Leemans, V., Destain, M.-F., Debeir, O, “Automatic Grading of Bi-Colored Apples by Multispectral Machine Vision”, Computers and Electronics in Agriculture, 75(1), 204-212, 2011.<br> </p>
La concurrence Apple et Windows
<p>Document de test crée dans le cadre d'une formation IFeL intitulé Concurrence entre Apple et Windows</p>
Fig. 2 in Evaluating the use of phenylacetonitrile plus acetic acid to monitor Pandemis pyrusana and Cydia pomonella (Lepidoptera: Tortricidae) in apple
Fig. 2. Mean (SE) number of male, female, and total Pandemis pyrusana caught in traps baited with either the sex pheromone lure (males only) or with phenylacetonitrile plus an acetic acid co-lure (males, females, and total moths). '*' denotes a significant mean difference as compared to male catch in the sex pheromone-baited trap, P <0.05.
Fig. 1 in Evaluating the use of phenylacetonitrile plus acetic acid to monitor Pandemis pyrusana and Cydia pomonella (Lepidoptera: Tortricidae) in apple
Fig. 1. Mean (SE) number of male, female, and total Cydia pomonella caught in traps with a sex pheromone plus pear ester combo lure and an acetic acid (AA) co-lure versus in traps with these same lures with the addition of a phenylacetonitrile (PAN) sachet lure, 7–21 Jul 2014, Moxee Washington, USA. 'N.S.' denotes a nonsignificant difference in moth catches between the 2 types of lures, P> 0.05.
Genome assembly and annotation of an apple variety 'RubyMac'
<p>In this dataset, we provided the contig-level genome assembly and annotation of an apple tree called 'RubyMac', which is growing in Michigan, USA (43°04'53.1"N 85°43'13.5"W). In this tree, the upper branches carried a sport mutation as compared with lower branches.</p>
Linked collectors and determiners for: Refining the phylogeny and taxonomy of the apple tribe Maleae (Rosaceae): insights from phylogenomic analyses of 563 plastomes and a taxonomic synopsis of Photinia and its allies in the Old World.
Natural history specimen data linked to collectors and determiners held within, "Refining the phylogeny and taxonomy of the apple tribe Maleae (Rosaceae): insights from phylogenomic analyses of 563 plastomes and a taxonomic synopsis of Photinia and its allies in the Old World". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/aa8d91fe-6fe4-4c59-8831-8103148e66f4">https://bionomia.net/dataset/aa8d91fe-6fe4-4c59-8831-8103148e66f4</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/aa8d91fe-6fe4-4c59-8831-8103148e66f4">https://gbif.org/dataset/aa8d91fe-6fe4-4c59-8831-8103148e66f4</a>. Formatted as a Frictionless Data package.
Figure 2 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 2 Crossbar of the pairwise comparisons of the average number of ARM observed on three cultivars of apples. Notes: Different letters indicate a significant difference (P <0.01). Mean estimated
Figure 1 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 1 Location of the municipalities sampled in the states of Rio Grande do Sul (RS), Santa Catarina (SC) and Paraná (PR).
Figure 3 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 3 Crossbar of the pairwise comparisons of the average number of ARM observed on the three Southern Brazilian states. Notes: Different letters indicate a significant difference (P <0.01). Mean estimated via bootstrap (999 repetitions) ± standard deviation.
Figure 5 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 5 Correlogram. Visualization of Moran´s I as a function of distance (Km) among sampling locations. Distances with significant spatial autocorrelation whose values of Moran´s I are signifi-
Figure 3 in Effects of Aculus schlechtendali (Acari: Eriophyidae) population densities on Golden Delicious apple production
Figure 3 Yearly cumulative predatory mite densities (CMD-phytoseiids) registered on Golden Delicious leaves in untreated apple trees during three subsequent years.
Figure 1 in Effects of Aculus schlechtendali (Acari: Eriophyidae) population densities on Golden Delicious apple production
Figure 1 Mean monthly temperature and rainfall in the experimental site in the three years considered.
Figure 2 in Effects of Aculus schlechtendali (Acari: Eriophyidae) population densities on Golden Delicious apple production
Figure 2 Seasonal Apple Rust Mite densities (ARM per leaf)(lines) and Cumulative Mite-Days (CMD)(dots) in untreated Golden Delicious apple trees during three subsequent years.
Data for publication "Fast and Accurate Distance-based Phylogenetic Placement using Divide and Conquer" (APPLES-2)
<p>Data and scripts used in the paper "Fast and Accurate Distance-based Phylogenetic Placement using Divide and Conquer"</p>
Data and Results for: Comparing Apples with Apples: Robust Detection Limits for Exoplanet High-Contrast Imaging in the Presence of non-Gaussian Noise
<p>This collection of data and results contains everything needed to reproduce the results in the paper:</p> <p>Comparing Apples with Apples: Robust Detection Limits for Exoplanet \\ High-Contrast Imaging in the Presence of non-Gaussian Noise</p> <p>The <a href="/api/files/53bfc05e-f632-443a-9c07-590b9bf860e1/apples_root_dir.zip?versionId=d41f6d1e-ef44-497c-ae2a-a5b291a8c9b9">apples_root_dir.zip</a> is further needed to run the examples of the python package Applefy.</p>
MSUAppleData: an apple dataset with 'Gala' and 'Blondee' two varieties
<p>This is the MSU Apple Dataset Version 2 repository. All images were taken in the orchard at the Michigan State University. This dataset consists of 1246 images including 'Gala' and 'Blondee' two varieties and also is split into 934 training sets and 312 test sets. All of data is organized in COCO object detection format.</p> <p>If you would like to use our data in your publication, please cite this dataset.</p>
Figure 1 in Chironomids also favour fermented products: an observation of chironomids dwelling in rotten apples
Figure 1. Pictures of the study pond (a), rotten apples floating on the surface (b), some of the apples before sectioning (c), and a larva of Endochironomus cf. tendens found inside the apple (d). Photo L. Hamerlik.
Bottom-up effects of apple cultivars on parasitoids via aphid hosts
<p>Variability of intraspecific host plant quality for phytophagous insects may have consequences on the structure and functioning of associated food webs. The quality of host plants can affect aphids fitness, influencing their life history traits and altering the nutritional resources available to higher trophic levels, potentially affecting the development of solitary parasitoids. Here, we assessed the potential bottom-up effects of intraspecific variability amongst three cultivars (Gala, Ariane and Greensleeves) of the domesticated apple tree (<em>Malus domestica</em>) with putative resistance towards the rosy apple aphid (<em>Dysaphis plantaginea</em>) on the aphid’s performance, and its cascading effects on the parasitoid <em>Ephedrus cerasicola</em>. We measured aphid pre-reproductive period, lipid and water contents, and recorded their feeding behavior using the electropenetrography technique. Parasitoid developmental duration, sex ratio, hind tibia size and female egg load were measured and used to evaluate <em>E. cerasicola</em> performance according to the cultivar on which their aphid hosts had been reared. Only the development time of parasitoids was found to be longer on Ariane and Green Sleeves cultivars than on the Gala cultivar. Aphid feeding behavior variables related to phloem consumption were negatively impacted on apple tree cultivars on which the development time of parasitoids had been reduced. We discuss in what way cultivar quality can be an important component of tritrophic interactions: the resistant Ariane and Green Sleeves cultivars negatively impacted the aphids but appeared to have limited bottom-up effects on the parasitoids. </p>
Pollination deficits and contributions of pollinators in apple production: a global meta-analysis
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Data sets to all figures in our article Appl. Phys. Lett. 115, 193507 (2019)
<p>Data sets to all figures in our article in Applied Physics Letters:<br> <br> Quartz tuning fork—A potential low temperature thermometer in high magnetic fields<br> Appl. Phys. Lett. <strong>115</strong>, 193507 (2019)<br> doi: 10.1063/1.5124736</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.