Works matching IS 13852256 AND DT 2023 AND VI 24 AND IP 5
Results: 21
Deep-learning-based counting methods, datasets, and applications in agriculture: a review.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1683, doi. 10.1007/s11119-023-10034-8
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Field path optimization to reduce headland and turning maneuvers at regional scales: automated detection of cultivation direction in the state of Brandenburg, Germany.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2126, doi. 10.1007/s11119-023-10033-9
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A new spectral index for estimation of wheat canopy chlorophyll density: considering background interference and view zenith angle effect.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2098, doi. 10.1007/s11119-023-10032-w
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Adding random points to sampling grids to improve the quality of soil fertility maps.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2081, doi. 10.1007/s11119-023-10031-x
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Pedotransfer functions for adsorbed phosphorus evaluations using magnetic susceptibility for mapping purposes.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2061, doi. 10.1007/s11119-023-10030-y
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Toward an effective approach for on-farm experimentation: lessons learned from a case study of fertilizer application optimization in Japan.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2044, doi. 10.1007/s11119-023-10029-5
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Developing an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2019, doi. 10.1007/s11119-023-10028-6
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A W-shaped convolutional network for robust crop and weed classification in agriculture.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 2002, doi. 10.1007/s11119-023-10027-7
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The economic effects of unmanned aerial vehicles in pesticide application: evidence from Chinese grain farmers.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1965, doi. 10.1007/s11119-023-10025-9
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Growth monitoring of field-grown onion and garlic by CIE L*a*b* color space and region-based crop segmentation of UAV RGB images.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1982, doi. 10.1007/s11119-023-10026-8
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Economics of field size and shape for autonomous crop machines.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1738, doi. 10.1007/s11119-023-10016-w
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How much can farmers pay for weeding robots? A Monte Carlo simulation study.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1712, doi. 10.1007/s11119-023-10015-x
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Plant disease detection using drones in precision agriculture.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1663, doi. 10.1007/s11119-023-10014-y
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Statistical diagnostics for sensing spatial residue cover.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1932, doi. 10.1007/s11119-023-10024-w
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Predicting the ripening time of 'Hass' and 'Shepard' avocado fruit by hyperspectral imaging.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1889, doi. 10.1007/s11119-023-10022-y
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Management zone-specific N mineralization rate estimation in unamended soil.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1906, doi. 10.1007/s11119-023-10023-x
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Adoption of precision agriculture technologies by sugarcane farmers in the state of São Paulo, Brazil.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1813, doi. 10.1007/s11119-023-10019-7
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An ultra-lightweight efficient network for image-based plant disease and pest infection detection.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1836, doi. 10.1007/s11119-023-10020-0
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Development of a method for detecting the planting and ridge areas in paddy fields using AI, GIS, and precise DEM.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1862, doi. 10.1007/s11119-023-10021-z
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Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1792, doi. 10.1007/s11119-023-10018-8
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Influences of wind vortex intensity of rotor UAV on rice morphology and yield.
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- Precision Agriculture, 2023, v. 24, n. 5, p. 1766, doi. 10.1007/s11119-023-10017-9
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