Showing 8,301 - 8,320 results of 18,649 for search '"agriculture"', query time: 0.09s Refine Results
  1. 8301

    UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review by Zhen Zhang, Lehao Huang, Qingwang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yanfeng Gu

    Published 2025-01-01
    “…In recent years, significant advances in unmanned aerial vehicle (UAV) technology and hyperspectral remote sensing have spurred rapid and innovative developments in UAV-based hyperspectral image (HSI) classification across a range of fields, including environmental monitoring, precision agriculture, forest health assessment, and disaster management. …”
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  2. 8302

    REVIEW OF THE EUROPEAN EXPERIENCE OF AIC DEVELOPMENT AND THE ROLE OF GREEN TECHNOLOGIES IN THE MODERNISATION OF THIS PROCESS by Іnna Honcharuk, Dina Tokarchuk

    Published 2024-12-01
    “…Based on the study of EU programmes and initiatives related to the use of green technologies in the agricultural sector, the article summarises that they are aimed at reducing greenhouse gas emissions, developing organic production, increasing the efficiency of natural resources use, expanding the production and use of renewable energy sources in the agricultural sector, preserving biodiversity and introducing innovations for sustainable agricultural development. …”
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  3. 8303

    First note of QTL mapping of low vigor traits using the updated F2 ‘Koroneiki’ linkage map of olive by Irene Granata, Aparna S. Balan, Aparna S. Balan, Claudio Di Vaio, Antonino Ioppolo, Tiziano Caruso, Silvia Fretto, Jubina Benny, Antonio Giovino, Daniel James Sargent, Francesco Paolo Marra, Annalisa Marchese

    Published 2025-01-01
    “….), which characterizes the agriculture of the Mediterranean basin, faces challenges adapting to high-density orchards and mechanized cultivation. …”
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  13. 8313

    Physiological and behavioural resistance of malaria vectors in rural West-Africa: a data mining study to address their fine-scale spatiotemporal heterogeneity, drivers, and predict... by Taconet, Paul, Soma, Dieudonné Diloma, Zogo, Barnabas, Mouline, Karine, Simard, Frédéric, Koffi, Alphonsine Amanan, Dabiré, Roch Kounbobr, Pennetier, Cédric, Moiroux, Nicolas

    Published 2024-01-01
    “…We interpreted and discussed these associations in light of several topics of interest, such as: respective contribution of public health and agriculture in the selection of physiological resistances, biological costs associated with physiological resistances, biological mechanisms underlying biting behaviour, and impact of micro-climatic conditions on the time or place of biting. …”
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    Stochastic population models to identify optimal and cost‐effective harvest strategies for feral pig eradication by Peter W. Hamnett, Frédérik Saltré, Brad Page, Myall Tarran, Matt Korcz, Kate Fielder, Lindell Andrews, Corey J. A. Bradshaw

    Published 2024-12-01
    “…Abstract Eradicating feral pigs from island ecosystems can assist in restoring damaged biodiversity values and protect commercial industries such as agriculture. Although many feral pig eradications have been attempted, management decisions are often led by practitioner experience rather than empirical evidence. …”
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  17. 8317

    Application of <i>Azospirillum brasilense</i> and Humic Substances Improves the Nursery Quality of Olive Seedlings in Pots by Giovana Ritter, Rodrigo José de Vargas, Daniela Farinelli, Nicola Cinosi, Chiara Traini, Simona Lucia Facchin, Larissa Hiromi Kiahara, Daniel Fernandes da Silva, Silvia Portarena, Fabiola Villa

    Published 2025-01-01
    “…In Brazil due to the establishment of new orchards, olive seedling production is growing strongly, while the use of biostimulants in agriculture has been gaining attention due to their benefits in root formation and nutrient absorption. …”
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  18. 8318

    Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

    Published 2025-01-01
    “…No less important is the scarcity of aerial datasets specifically tailored for agricultural areas. This study addresses these gaps by presenting a methodology for semantic segmentation of land covers in agricultural areas using satellite images and deep learning models with pre-trained backbones. …”
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