Works matching DE "NITROGEN fertilizers"
Results: 5000
THE CONSEQUENCES OF THE USE OF FERTILIZERS ON THE PRODUCTION OF THE MAIN CULTIVATED PLANTS, IN THE SOUTH-EAST REGION, ROMANIA.
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- Scientific Papers. Series A. Agronomy, 2024, v. 67, n. 2, p. 197
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ANALYSE THE IMPACT OF NPK AND ZINC ON GROWTH AND YIELD ATTRIBUTES OF CLUSTER BEAN (CYAMOPSIS TETRAGONOLOBA L.) VAR. PUSA MAUSMI.
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- Plant Archives (09725210), 2024, v. 24, n. 2, p. 2554, doi. 10.51470/PLANTARCHIVES.2024.v24.no.2.366
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EFFECT OF NANO-UREA ON VEGETATIVE GROWTH, FLOWERING, FRUITING AND YIELD OF STRAWBERRY FRUIT CV. WINTER DAWN.
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- Plant Archives (09725210), 2024, v. 24, n. 2, p. 2316, doi. 10.51470/PLANTARCHIVES.2024.v24.no.2.330
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NUTRIENT UPTAKE, YIELD AND NUTRIENT AVAILABILITY BY LINSEED AS AFFECTED BY NANO-UREA FOLIAR APPLICATION IN RED AND YELLOW SOIL.
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- Plant Archives (09725210), 2024, v. 24, n. 2, p. 393, doi. 10.51470/PLANTARCHIVES.2024.v24.no.2.055
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Nitrogen Application Alters Growth and Yield of BRRI dhan28.
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- SAARC Journal of Agriculture, 2024, v. 22, n. 2, p. 99, doi. 10.3329/sja.v22i2.75222
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Production of Biomass and Bioactive Compound as a-Glucosidase Inhibitor Activities Simplisia Cat Whiskers (Orthosiphon aristatus) at Fertilization and Differences Harvest Rotation Time.
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- International Journal of Agriculture System, 2024, v. 12, n. 2, p. 167, doi. 10.20956/ijas.v12i2.4813
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Gluconacetobacter diazotrophicus Bacteria combined Nitrogen Fertilization Promotes Rice Yield and Soil Quality in The Paddy Field in The Vietnamese Mekong Delta Region.
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- Malaysian Journal of Soil Science, 2024, v. 28, p. 359
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Mitigating Rapid Release of Nitrate from Rejected Sago Starch-coated Urea and Uncoated Urea.
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- Malaysian Journal of Soil Science, 2024, v. 28, p. 117
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Mitigating Nitrogen Leaching in Mineral Soils using Pineapple Leaf Biochar.
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- Malaysian Journal of Soil Science, 2024, v. 28, p. 1
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Combined use of Rhizobium inoculation and low phosphorus application increased plant growth, root nodulation and grain yield of common bean (Phaseolus vulgaris) in Ethiopia.
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- Frontiers of Agricultural Science & Engineering, 2025, v. 12, n. 1, p. 104, doi. 10.15302/J-FASE-2024556
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Differences in Nitrogen Efficiency of Different Genotypes of Island Cotton and Their Effects on Photosynthetic Characteristics and Yield.
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- Journal of Agricultural Science & Technology (1008-0864), 2025, v. 27, n. 1, p. 61, doi. 10.13304/j.nykjdb.2023.0185
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Effects of amino acid value-added urea on rice growth and nitrogen utilization.
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- PLoS ONE, 2025, v. 20, n. 1, p. 1, doi. 10.1371/journal.pone.0310224
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Impact of incorporating wheat straw together with basal nitrogen ratio on panicle formation and grain yield in rice.
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- Scientific Reports, 2025, v. 15, n. 1, p. 1, doi. 10.1038/s41598-025-88424-3
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به میزان)Carthamus tinctorius L.(ارزیابی پاسخ رشد و عملکرد ارقام مختلف گلرنگ نیتروژن مصرفی
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- Iranian Journal of Field Crop Science, 2024, v. 55, n. 4, p. 149, doi. 10.22059/ijfcs.2024.375450.655078
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Soybean production in SEALBA: inoculation, co-inoculation, and starter nitrogen fertilization.
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- Acta Scientiarum: Agronomy, 2024, v. 46, p. 1, doi. 10.4025/actasciagron.v46i1.68426
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THE FERTILIZER NEEDS OF THE UNITED STATES.
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- Quarterly Journal of Economics, 1918, v. 32, n. 2, p. 209, doi. 10.2307/1885426
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Thermoplastic Starch – Urea, a Feasible Alternative to Release Nitrogen as Fertilizer.
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- Macromolecular Symposia, 2022, v. 406, n. 1, p. 1, doi. 10.1002/masy.202200043
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Experimental designs for estimating plateau-type production functions and economically optimal input levels.
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- Journal of Productivity Analysis, 2012, v. 38, n. 1, p. 45, doi. 10.1007/s11123-010-0204-0
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Combining 2D image and point cloud deep learning to predict wheat above ground biomass.
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- Precision Agriculture, 2024, v. 25, n. 6, p. 3139, doi. 10.1007/s11119-024-10186-1
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Potential to reduce the nitrate residue after harvest in maize fields without sacrificing yield through precision nitrogen management.
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- Precision Agriculture, 2024, v. 25, n. 2, p. 940, doi. 10.1007/s11119-023-10100-1
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Minimizing active canopy sensor differences in nitrogen status diagnosis and in-season nitrogen recommendation for maize with multi-source data fusion and machine learning.
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- Precision Agriculture, 2023, v. 24, n. 6, p. 2549, doi. 10.1007/s11119-023-10052-6
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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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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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Opportunities for variable rate application of nitrogen under spatial water variations in rainfed wheat systems—an economic analysis.
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- Precision Agriculture, 2023, v. 24, n. 3, p. 853, doi. 10.1007/s11119-022-09977-1
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Assessing performance of empirical models for forecasting crop responses to variable fertilizer rates using on-farm precision experimentation.
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- Precision Agriculture, 2023, v. 24, n. 2, p. 677, doi. 10.1007/s11119-022-09968-2
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The estimation of wheat tiller number based on UAV images and gradual change features (GCFs).
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- Precision Agriculture, 2023, v. 24, n. 1, p. 353, doi. 10.1007/s11119-022-09949-5
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Greenhouse gas mitigation benefits and profitability of the GreenSeeker Handheld NDVI sensor: evidence from Mexico.
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- Precision Agriculture, 2022, v. 23, n. 6, p. 2388, doi. 10.1007/s11119-022-09925-z
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An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features.
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- Precision Agriculture, 2022, v. 23, n. 4, p. 1276, doi. 10.1007/s11119-022-09884-5
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Determining nitrogen deficiencies for maize using various remote sensing indices.
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- Precision Agriculture, 2022, v. 23, n. 3, p. 791, doi. 10.1007/s11119-021-09861-4
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Estimation of nitrogen status of paddy rice at vegetative phase using unmanned aerial vehicle based multispectral imagery.
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- Precision Agriculture, 2022, v. 23, n. 1, p. 1, doi. 10.1007/s11119-021-09823-w
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Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations.
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- Precision Agriculture, 2021, v. 22, n. 4, p. 1284, doi. 10.1007/s11119-021-09784-0
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Variable-rate application of high spatial resolution can improve cotton N-use efficiency and profitability.
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- Precision Agriculture, 2020, v. 21, n. 3, p. 695, doi. 10.1007/s11119-019-09690-6
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Modeling and design of an injection dosing system for site-specific management using liquid fertilizer.
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- Precision Agriculture, 2019, v. 20, n. 4, p. 649, doi. 10.1007/s11119-018-9602-5
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Regional scale application of the precision agriculture thought process to promote improved fertilizer management in the Australian sugar industry.
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- Precision Agriculture, 2019, v. 20, n. 2, p. 362, doi. 10.1007/s11119-018-9571-8
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Farmer attitudes to the use of sensors and automation in fertilizer decision-making: nitrogen fertilization in the Australian grains sector.
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- Precision Agriculture, 2019, v. 20, n. 1, p. 157, doi. 10.1007/s11119-018-9589-y
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Fine-tuning of wheat (Triticum aestivum, L.) variable nitrogen rate by combining crop sensing and management zones approaches in southern Brazil.
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- Precision Agriculture, 2019, v. 20, n. 1, p. 56, doi. 10.1007/s11119-018-9581-6
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Development of field mobile soil nitrate sensor technology to facilitate precision fertilizer management.
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- Precision Agriculture, 2019, v. 20, n. 1, p. 40, doi. 10.1007/s11119-018-9579-0
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Variable-rate nitrogen fertilization of winter wheat under high spatial resolution.
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- Precision Agriculture, 2018, v. 19, n. 3, p. 570, doi. 10.1007/s11119-017-9540-7
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Nitrogen fertilizer recommendations based on plant sensing and Bayesian updating.
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- Precision Agriculture, 2018, v. 19, n. 1, p. 79, doi. 10.1007/s11119-017-9499-4
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Canopy sensor placement for variable-rate nitrogen application in sugarcane fields.
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- Precision Agriculture, 2018, v. 19, n. 1, p. 147, doi. 10.1007/s11119-017-9505-x
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Crop model- and satellite imagery-based recommendation tool for variable rate N fertilizer application for the US Corn system.
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- Precision Agriculture, 2017, v. 18, n. 5, p. 779, doi. 10.1007/s11119-016-9488-z
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Evaluation of mid-season sensor based nitrogen fertilizer recommendations for winter wheat using different estimates of yield potential.
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- Precision Agriculture, 2016, v. 17, n. 4, p. 470, doi. 10.1007/s11119-016-9431-3
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Sensitivity of leaf chlorophyll empirical estimators obtained at Sentinel-2 spectral resolution for different canopy structures.
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- Precision Agriculture, 2016, v. 17, n. 3, p. 313, doi. 10.1007/s11119-015-9424-7
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Improving in-season estimation of rice yield potential and responsiveness to topdressing nitrogen application with Crop Circle active crop canopy sensor.
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- Precision Agriculture, 2016, v. 17, n. 2, p. 136, doi. 10.1007/s11119-015-9412-y
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Variable rate nitrogen fertilizer response in wheat using remote sensing.
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- Precision Agriculture, 2016, v. 17, n. 2, p. 168, doi. 10.1007/s11119-015-9414-9
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Site-specific fertilizer nitrogen management in irrigated transplanted rice ( Oryza sativa) using an optical sensor.
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- Precision Agriculture, 2015, v. 16, n. 4, p. 455, doi. 10.1007/s11119-015-9389-6
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Detection of brown planthopper infestation based on SPAD and spectral data from rice under different rates of nitrogen fertilizer.
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- Precision Agriculture, 2015, v. 16, n. 2, p. 148, doi. 10.1007/s11119-014-9367-4
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Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status.
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- Precision Agriculture, 2015, v. 16, n. 1, p. 15, doi. 10.1007/s11119-014-9377-2
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Evaluation of the nitrogen sufficiency index for use with high resolution, broadband aerial imagery in a commercial potato field.
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- Precision Agriculture, 2014, v. 15, n. 2, p. 202, doi. 10.1007/s11119-013-9333-6
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Suitability of aerial and satellite data for calculation of site-specific nitrogen fertilisation compared to ground based sensor data.
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- Precision Agriculture, 2013, v. 14, n. 2, p. 135, doi. 10.1007/s11119-012-9278-1
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