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28 results for “vegetable crops”
PixelCropRobot dataset: images of vegetables crops in different phenological stages taken in greenhouses
<p><em>Dataset created under the PixelCropRobot project, developed by FCUP, INESC TEC and FEUP.</em></p> <p><strong>Dataset folder:</strong></p> <blockquote> <p>This folder contains the images of each species in two formats (3456 × 4608 pixels and 864 × 1152 pixels), the annotations of the 864 × 1152 px. images, in Pascal VOC (.xml) and YOLO (.txt) formats and also a set of Python scripts useful for managing the dataset.</p> </blockquote> <p>The aim was to capture images of eight crops selected taking into account the length of the crop cycle (annual), the intensity of agricultural practices (mainly weed removal) and the low impact of pests and diseases.</p> <p>The images were captured using a smartphone (Huawei Mate 10 Lite), with 16 megapixels (MP) resolution (3456 × 4608 px.), in Professional mode (no flash, continuous autofocus, automatic ISO and shutter speed). Image collection took place at different hours of the day, with variable lighting conditions.</p> <p>The images are divided as follows (in parenthesis are the classes):</p> <ul> <li>Arugula - 312 (coty, minus9, plus9)</li> <li>Carrot - 533 (coty, smallleaves, carrot)</li> <li>Coriander - 321 (coty, smallleaves, coriander)</li> <li>Lettuce - 1426 (coty, minus9, plus9, ready)</li> <li>Radish - 494 (coty, smallleaves, bigleaves, root)</li> <li>Spinach - 270 (spinach, big)</li> <li>Swiss chard - 454 (coty, chard)</li> <li>Turnip - 313 (coty, smallleaves, turnip)</li> </ul> <p>To standardise the dataset, each image was renamed according to the corresponding EPPO (European and Mediterranean Plant Protection Organization) code and the date of creation of that image. The size of each image was also reduced four times (to 864 × 1152 pixels) to facilitate processing. For example, an image of lettuce captured on June 22 presents the name as follows: LACSA_Jun_22_x_864_1152.jpg.</p>
Non-crop vegetation characteristics and vocalizing bird richness across 44 sites in Iowa, USA in June 2019
<p>This data was derived from field work conducted in June 2019 where sixty AudioMoth passive acoustic monitors were placed along agricultural field margins in Iowa, USA. Twenty-five of the monitoring location were established by farmer and landowner collaborators, and the remaining (35) sites were established by the author (A.P.D.). Unique vocalizing bird species were counted in ninety-five recordings from 6 to 8 days during dawn hours per site. High resolution mapping identified non-crop vegetation and texture at spatial extents ranging from 100 to 1000 meters. Pesticide and fertilizer application were collected via a survey with collaborators. Site location names are included when the research site was an Iowa State Research and Demonstration Farm (ISRF). When the site was a collaborator, the site name was anonymized to "Collaborator" to respect the privacy of participants.</p>
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany).
Fig. 9 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 9. Population fluctuation of Thrips tabaci in the onion crops at Axochiapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (180 degree days) occurred to support 1 life cycle of T. tabaci from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 6 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 6. Population fluctuation of Frankliniella occidentalis related with tomato crops at Tlayacapan and Atlatlahucan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 2 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 2. Population fluctuation of Frankliniella occidentalis in the cucumber crops at Tlayacapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 7 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 7. Population fluctuation of Frankliniella occidentalis in the tomatillo crops at Tlayacapan, Morelos, and Tepeojuma, Puebla, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 4 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 4. Population fluctuation of Frankliniella occidentalis in the zucchini crops at Tlayacapan, Tepalcingo and Atlatlahucan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st red vertical arrow and between consecutive red arrows.
Fig. 5 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 5. Population fluctuation of Frankliniella occidentalis in the pepper crops at Izucar de Matamoros and Tepeojuma, Puebla, and Tlayacapan, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 1 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 1. Population fluctuation of Frankliniella occidentalis in the cucumber crops at Atlatlahucan and Tepalcingo, Morelos, Mexico, 2010–2011. Sufficient thermal units (195 degree days) occurred to support 1 life cycle of F. occidentalis from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Fig. 10 in Population fluctuations of thrips (Thysanoptera) and their relationship to the phenology of vegetable crops in the central region of Mexico
Fig. 10. Population fluctuation of Thrips tabaci in the onion crops at Tilapa and Tepeojuma, Puebla, Mexico, 2010–2011. Sufficient thermal units (180 degree days) occurred to support 1 life cycle of T. tabaci from transplantation until the 1st vertical arrow and subsequently between consecutive arrows.
Biopesticides and field margin vegetation for sustainable lablab crop production
<p>The data presents the effect of botanical insecticides, in the presence of field margin vegetation on aphids (abundance, severity of damage and percent incidence), number and diversity of natural enemies and growth and yield of lablab beans in the highlands of Rift Valley, Kenya. A clearly discernible reduction in the abundance, severity of damage and incidence of aphids, enhanced number and diversity of natural enemies and increased grain yield of lablab bean.</p>
VegAnn: Vegetation Annotation of a large multi-crop RGB Dataset acquired under diverse conditions for image segmentation
<p> VegAnn - Vegetation Annotation - dataset, a collection of 3795 multi-crop RGB images acquired for different phenological stages using different systems and platforms in diverse illumination conditions. </p>
Gunnison's Prairie Dog Relocation Project: Vegetation Standing Crop Data from the Sevilleta National Wildlife Refuge, New Mexico (2005-2011)
Grasslands are among the most imperiled ecosystems in the world where the loss of native species is a consequence of agriculture and desertification. In North America, 90% of the grassland has been converted to cropland where vast areas are now desertified. North America's most iconic grassland herbivores, bison and prairie dogs, are now extinct throughout most of their historic range. This study measures the standing crop of plant vegetation (perennial and annual combined) for the year on areas occupied and not occupied by Gunnison's prairie dogs on the Sevilleta National Wildlife Refuge (NWR).
Flower strips and remnant semi-natural vegetation have different impacts on pollination and productivity of sunflower crops
<p>Intensification of agricultural landscapes to fulfil increased global food demands has dramatically impacted biodiversity and ecosystem services. Several pollinator groups, which are vital for the maintenance of pollinator-dependent crops, have been severely affected by this intensification process. Management tools, such as the implementation of agri-environmental schemes, have been widely proposed to improve pollinator's communities and pollination services, although the effectiveness of wildflower strips in comparison to existing natural or semi-natural habitats and the impact on yield has not been fully demonstrated.</p> <p><span>Here, we aimed to assess the effect of flower strips implementation near sunflower fields in two intensive agricultural regions and to quantify their impact on visitation rates and sunflower productivity. Data were obtained in two regions in Spain (Burgos and Cuenca) in sunflower fields with associated semi-natural vegetation (SNVs), with implemented wildflower strips (WFSs) and without vegetation structures (NonVs). Visitation rates were monitored over two years by direct observations, and both sunflower seed production and weight were assessed in 52 fields per year.</span></p> <p><span>Our results revealed regional and inter-annual variation in visitation rates, likely driven by structural differences in the landscapes studied. In Cuenca, characterized by more heterogeneous and floral resources-richer landscapes, the effects of WFSs were significant in the second year of implementation, with higher visitation rates and higher productivity values in fields with implemented wildflower strips compared to those without. In contrast, in Burgos, no consistent effects among field treatments across years were observed.</span></p> <p><span>Synthesis and applications. T</span><span>he implementation of flower strips or maintenance of remnant semi-natural habitats adjacent to sunflower fields, showed context-dependent effects on visitation rates and crop yield. In highly simplified agroecosystems, these interventions may be insufficient or may need longer times to produce significant effects. Yet, in regions where natural and semi-natural patches were already present, the implementation of flower strips was a successful strategy to promote pollinators and sunflower <a>productivity.</a></span></p>
Soil physical, biological, chemical, and carbon data and cover crop biomass data from Sac Valley almond orchard comparing multiple cover crop compositions with resident vegetation for effects on soil health and nematodes
Open the record for dataset details and reuse information.
Flower strips and remnant semi-natural vegetation have different impacts on pollination and productivity of sunflower crops
Open the record for dataset details and reuse information.
Feasibility of assessing vegetative and generative endpoints of crop- and non- crop terrestrial plant species for non-target terrestrial plant (NTTP) regulatory testing under greenhouse conditions
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Data from: Natural vegetation benefits synergistic control of the three main insect and pathogen pests of fruit crop in southern Africa
1. Most studies of the potential for natural habitat to improve agricultural productivity have been conducted in transformed, temperate regions, but little is known of the importance of agroecosystem services in biodiverse developing countries. 2. Natural vegetation may promote the density and/or diversity of natural enemies of crop pests, but the strength of the effect varies, and few studies directly measure concurrent impacts on pest density. Considering multiple pest species within the same agroecosystem may help explain why some pests are more affected than others by landscape complexity. Here, we investigated multiple pest species (three species of Tephritidae fruit fly, leaf galling flies and pathogenic fungi Fusarium spp.) and their enemies in cultivated mango Mangifera indica, in north-eastern South Africa. 3. The density of generalist Tephritidae fruit flies increased with distance from natural vegetation during harvesting months, and predation rate of pupae sharply decreased from ~50% at the edge with natural vegetation to 0% at 250 m into the crop. Parasitism rates of the cryptic, gall-forming fly increased with proximity to natural vegetation, but pest density was unrelated to distance from natural vegetation. Incidence of the fungal pathogen disease increased with distance from natural vegetation, possibly due to decreased predation of commensal mites. 4. Although the relationship with distance to natural vegetation was significant for all species considered, the strength of this relationship varied across pest species and type of natural enemy studied, suggesting the benefits of natural vegetation depend on each natural enemy species' ability to disperse into the agricultural environment. 5. Synthesis and applications. Our results suggest that natural vegetation is a net source of natural enemies in a region of South Africa that still contains much of its natural biodiversity. However, the decline in natural enemies, and increase in pests, with distance from natural habitat indicates that this biocontrol is limited by natural enemy dispersal. In landscapes like these that are still dominated by natural habitat, conservation biocontrol can still be improved by management aimed at providing corridors of key plants and habitat elements into the crops, to facilitate natural enemy dispersal.
Data from: 28 years of vegetation standing crop data from the Mississippi river delta
<p>Deltaic landscapes go through cycles of birth, growth, decline, to death governed by intertwined geological, biological, and ecological processes. This study tracks deltaic lobes in the Balize Mississippi River Delta, Louisiana, USA over ~3 decades (study years 1984–2012). Hydrologic and geomorphic patterns and those which sustain patterns to wetland plant richness, diversity, and biomass are described. Plant diversity and biomass were modeled by nMDS ordination. Taxa (53) were harvested and dried (116,706g) from 965 (0.25 m<sup>2</sup>) plots and divided into three groups: I. 4 Foundation Species; 78.9% of total harvest; II. 9 Pioneer Species; 13.6% of total harvest; III. All Other taxa; 7.5% of total harvest (8 Miscellaneous Grasses, 8 Miscellaneous Sedges, 24 Miscellaneous Herbs). Autogenic/allogenic processes (sedimentation, subsidence, plant colonization, succession events) affect composition and biomass. Eleven important species were identified. Taxa's richness increased on mudflats during primary succession (15 to 25 taxa per site), then declined to fewer than 5 per site. Niche-space theory explained patterns to community change. There was similar total biomass/yr (~500 g/m<sup>2</sup>/yr) at study sites. Quantile regression analyses showed water quality and quantity of the Mississippi River influenced biomass especially spring-time waters. Stochastic events (storms, herbivory, salt-burn, flood-pulses) impacted biomass. Long-term studies like this are required in a future of climate unknowns.</p>
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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)
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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.