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235 results for “orchards”
FIGURE 3 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 3: Time variation of Phytoseiidae densities and diversity in orchard (2) (a) on citrus leaves, (b) on weeds.
FIGURE 4 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 4: Time variation of Phytoseiidae densities and diversity in orchard (3) (a) on citrus leaves, (b) on weeds.
FIGURE 2 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 2: Time variation of Phytoseiidae and Tetranychidae densities on citrus leaves in orchard (1).
FIGURE 1 in Diversity And Abundance Of Phytoseiidae (Acari: Mesostigmata) In Three Crop Management Strategies Of Citrus Orchards In Tunisia
FIGURE 1: Time variation of Phytoseiidae densities and diversity in orchard (1) (a) on citrus leaves, (b) on weeds.
FIGURE 6 in Survey Of Phytoseiid Mite Species (Acari: Phytoseiidae) In Citrus Orchards In Lattakia Governorate, Syria
FIGURE 6: Macroseta on the basitarsus of the leg IV of the female of Typhlodromus (Anthoseius) thesbites.
FIGURE 7 in Survey Of Phytoseiid Mite Species (Acari: Phytoseiidae) In Citrus Orchards In Lattakia Governorate, Syria
FIGURE 7: Relative abundance of phytoseiid mite species on citrus trees in the sites considered in Lattakia governorate, Syria, based on samples collected in 2011-2012.
Dataset for benchmarking Multiple Object Tracking and Segmentation (MOTS) in an apple orchard field.
<p>A dataset of temporally consistent apple images and labels taken using UAVs and a wearable sensor in an orchard, consisting of 86000 manually annotated apple instances and 1700 frames annotated in the MOTS (Multi-object Tracking and Segmentation) style.</p> <p>Sequence 0-5 are used for training. Sequence 6-8 are used for testing/validation. Sequence 10-12 are the testing datasets that have "ignore regions" overlays.</p> <p>The code used in the paper can be found on <a href="https://git.wur.nl/said-lab/rt-obj-tracking/">our GitLab.</a></p>
Data for: Wild bee communities benefit from temporal complementarity of hedges and flower strips in apple orchards
<p><span>1. </span>Wild bees importantly pollinate both crop and wild plants. Yet, in <span>intensive agricultural landscapes, wild bees are rare due to resource limitations of nectar and pollen. Flower strips and hedges are often used as resource enhancements for wild bees to overcome this shortage, but provide floral resources only during specific time periods. To sustain diverse and stable bee communities, bee-attractive flowers need to be available during the entire growing season. This may be achieved by combining flower strips and hedges to complement each other and provide continuous floral resources. </span></p> <p><span>2. </span><span>Over three subsequent years, we compared the phenology of flower and wild bee communities in perennial flower strips, hedges and improved hedges (complemented with a sown herb layer) in conventional apple orchards in Southern Germany, a pollination-dependent crop-system. </span></p> <p><span>3. </span><span>Hedges provided floral resources in the early season while the flower strips took over later in the season. </span></p> <p><span>4. </span><span>Bees visited the hedges mostly from March to June, whereas they visited the flower strips from June to August (first year), and in the second year already from April onwards. Flower strips were visited with an overall higher abundance and species richness than the improved and not modified hedges. </span></p> <p><span>5. </span><span>Synthesis and application</span><span>: For enhancing wild bees in intensive apple orchards, hedges and perennial flower strips are complementary in providing flower resources. Yet, flower strips bloom more constantly and during periods of flower scarcity, and thus attract more bees than hedges. Perennial flower strips of different age classes should be preferred over annual strips, at best in a network with some well-maintained hedges, as perennial flower strips of different age attract different bee communities and thus potentially a higher bee diversity on the landscape level. </span></p>
Data on three-year flowering intensity monitoring in an apple orchard
<p>The present dataset contains UAV images during the full blooming period of an apple orchard for three consecutive years, 2018, 2019, and 2020. It is directly linked to a research article entitled “Feasibility assessment of tree-level flower intensity quantification from UAV RGB imagery: A triennial study in an apple orchard”. The data collection site was an apple orchard located at Randwijk, Overbetuwe, The Netherlands (51.938, 5.7068 in WGS84 UTM 31U). This dataset aims to support researchers focussing on remote sensing, machine vision, deep learning, and image classification, and the stakeholders interested in precision horticulture and orchard management. It can be used for flowering intensity estimation and prediction, and spatial and temporal flowering variability mapping by using digital photogrammetry and 3D reconstruction.</p>
Figure 1 in Biodiversity of mites in mango orchards (Mangifera indica L.) and evaluation of some mineral and essential oils against Cisaberoptus kenyae Keifer (Acari: Eriophyidae) management
Figure 1 The homogenous of some species during 2020–2021 year.
Data for: Direct and indirect effects of management and landscape on biological pest control and crop pest infestation in apple orchards
<p>Biological pest control, relying on naturally occurring predator-prey dynamics, is considered a key element to achieve more sustainable farming systems. However, the combined effects of local management and landscape factors on communities of natural enemies as well as the cascading effects on pest infestations are rarely addressed, especially in perennial crops. Here, we used Piecewise Structural Equation Modelling (PSEM) to test direct and indirect effects of landscape composition, landscape configuration and local management practices on natural enemy communities, the pest control services they provide and ultimately on pest infestation and pest-related yield damage in apple crops. To this end, we surveyed 12 organic and 12 Integrated Pest Management (IPM) orchards during three consecutive years, and we also established a semi-natural benchmark to quantify the extent to which predator communities in the orchards were degraded. Natural enemies had a different community composition and were more abundant in organic orchards compared to IPM orchards. This had a small and positive effect on sentinel egg predation rates in organic orchards, but overall had very little impact on actual apple pest infestation. On the contrary, apple pest infestation levels were directly and positively affected by organic management practices and by increasing semi-natural habitat cover and landscape edge density. Compared to a semi-natural benchmark, both agricultural management systems showed degraded predator communities, which translated into an impaired delivery of biological control services. Synthesis and applications. Our results indicate that organic management and habitat conservation can enhance natural enemies and stimulate pest control, but also show that these factors can enhance pest infestations and can even lead to an overall increase in pest-related crop damage. Our study thus highlights the complex interplay of ecosystem services and disservices provided by biodiversity, which should be taken into account when advising farmers, policy makers and land managers on effective and sustainable strategies to control pest species and safeguard crop production.</p>
Data from: Developing perennial wildflower strips for use in Mediterranean orchard systems
<p>To support sustainable food production and the delivery of ecosystem services through ecological intensification, wildflower strips have become a popular strategy. Despite their success in temperate orchard systems, they remain understudied in Mediterranean ecosystems, which poses a significant barrier to uptake. In order to further promote their adoption, seed mixes must be optimised for commercial orchard systems and for the Mediterranean climate. Plant species should be selected for their consistent performance, while the availability of resources for ecosystem service providers determines the quality of the wildflower strip. In this study, the suitability of 12 native perennial forbs and two tussock-forming grass species for wildflower strips in commercial <em>Citrus</em> orchards was assessed over a three year period. Distinct resources for natural enemies according to the different plant growth stages was used an indicator of wildflower strip quality. The wildflower strips were managed under two different cutting strategies; i) standard management, in which wildflower strips were cut once annually in February, ii) active management, in which wildflower strips were cut two additional times each year. The establishment and success of the sown species were compared. The influence of wildflower strips and their management on plant species richness, community structure, and the provision of resources was compared with iii) a control treatment, in which alleyways were managed conventionally by cutting any naturally occurring vegetation to a height of ≤5 cm, four to five times annual. For the first time, the performance of native perennial plant species has been assessed in Mediterranean orchard systems and a seed mix developed targeting pest regulation services. The wildflower strips were successful in increasing plant species richness and the available resources expected to support natural enemies. However, only wildflower strips managed with cutting once annually enhanced vegetation cover relative to the control, whilst extending the flowering period. This study therefore provides crucial tools for the further development of sustainable approaches to food production in Mediterranean orchard systems. </p>
Figure 5 in Comparative analysis of soil nematode biodiversity from five different fruit orchards in Osmaneli district, Bilecik, Türkiye
Figure 5: Feeding types and their relative abundance of nematodes at different fruit tree orchards.
Fig. 1. Pherocon 1C wing trap with a in Captures of Stenoma catenifer (Lepidoptera: Depressariidae) are influenced by pheromone trap density in Hass avocado orchards
Fig. 1. Pherocon 1C wing trap with a commercial pheromone.
Soil properties and crop yield in fruit orchards under Mediterranean conditions in terms of intercropping, tillage and fertilizer type
<p>This data set contains a data-mining performed to assess the impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions by a further meta-analysis of the data. </p> <p>These data correspond to the open-access article "The impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions: A meta-analysis of field studies" published in Agricultural Systems. (<a href="https://doi.org/10.1016/j.agsy.2019.102736">https://doi.org/10.1016/j.agsy.2019.102736</a>), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. Raúl Zornoza acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the “Ramón y Cajal” Program [RYC-2015-18758].. </p> <p> </p>
Fig. 1 in On the Curculionoidea (Coleoptera) fauna of Almond (Amygdalus communis L.) Orchards in South-eastern and Eastern Anatolia in Turkey
Fig. 1. Surveyed areas in Elazığ (1), Diyarbakır (2) and Mardin (3).
Figure 4 in Abundance and distribution of Aculus schlechtendali on apple orchards in Southern of Brazil
Figure 4 Municipalities and its respective states (see color legend) from Southern Brazil
FIGURE 2 in Egg Number Varies With Population Density; A Study Of Three Oribatid Mite Species In Orchard Habitats In Egypt
FIGURE 2:: Average population densities of the three studied species as a function of sampling time. Means are given with their standard errors. For each vegetation type, means were taken over three different sites (cf. Fig. 1) and three replicate samples within a site.
FIGURE 1 in Egg Number Varies With Population Density; A Study Of Three Oribatid Mite Species In Orchard Habitats In Egypt
FIGURE 1: Map of Al-Gharbia Governate in Egypt, indicating the three sampling areas (Tanta, Al Mahalla Al Kobra and Kafr Al Zayat). The inset shows the location of Al-Gharbia in Egypt. In each area, three orchards were sampled four times in a year. The same three types of orchard were selected in each area. The distance between locations varies from 19 to 38 km; the distance between sites within one location is 1-2 km.
FIGURE 3 in Egg Number Varies With Population Density; A Study Of Three Oribatid Mite Species In Orchard Habitats In Egypt
FIGURE 3: Relationship between population density and fecundity of the three studied species. The data (pooled over three samples per site) are for all sites, vegetation types and seasons together.
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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
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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.