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PUBMED FOR HANDHELDS

Journal Abstract Search


335 related items for PubMed ID: 32074410

  • 1.
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  • 2. Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture.
    Maes WH, Steppe K.
    Trends Plant Sci; 2019 Feb; 24(2):152-164. PubMed ID: 30558964
    [Abstract] [Full Text] [Related]

  • 3. Evapotranspiration Estimation with Small UAVs in Precision Agriculture.
    Niu H, Hollenbeck D, Zhao T, Wang D, Chen Y.
    Sensors (Basel); 2020 Nov 10; 20(22):. PubMed ID: 33182824
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  • 5. Integration of remote-weed mapping and an autonomous spraying unmanned aerial vehicle for site-specific weed management.
    Hunter JE, Gannon TW, Richardson RJ, Yelverton FH, Leon RG.
    Pest Manag Sci; 2020 Apr 10; 76(4):1386-1392. PubMed ID: 31622004
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  • 6. Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research.
    Shi Y, Thomasson JA, Murray SC, Pugh NA, Rooney WL, Shafian S, Rajan N, Rouze G, Morgan CL, Neely HL, Rana A, Bagavathiannan MV, Henrickson J, Bowden E, Valasek J, Olsenholler J, Bishop MP, Sheridan R, Putman EB, Popescu S, Burks T, Cope D, Ibrahim A, McCutchen BF, Baltensperger DD, Avant RV, Vidrine M, Yang C.
    PLoS One; 2016 Apr 10; 11(7):e0159781. PubMed ID: 27472222
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  • 8. Unmanned aerial vehicles for biodiversity-friendly agricultural landscapes - A systematic review.
    Librán-Embid F, Klaus F, Tscharntke T, Grass I.
    Sci Total Environ; 2020 Aug 25; 732():139204. PubMed ID: 32438190
    [Abstract] [Full Text] [Related]

  • 9. A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles.
    Gao D, Sun Q, Hu B, Zhang S.
    Sensors (Basel); 2020 Mar 08; 20(5):. PubMed ID: 32182732
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  • 10. Applications and Prospects of Agricultural Unmanned Aerial Vehicle Obstacle Avoidance Technology in China.
    Wang L, Lan Y, Zhang Y, Zhang H, Tahir MN, Ou S, Liu X, Chen P.
    Sensors (Basel); 2019 Feb 03; 19(3):. PubMed ID: 30717488
    [Abstract] [Full Text] [Related]

  • 11. Advanced UAV-WSN System for Intelligent Monitoring in Precision Agriculture.
    Popescu D, Stoican F, Stamatescu G, Ichim L, Dragana C.
    Sensors (Basel); 2020 Feb 03; 20(3):. PubMed ID: 32028736
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  • 13. A Comprehensive Review of Micro UAV Charging Techniques.
    Mohsan SAH, Othman NQH, Khan MA, Amjad H, Żywiołek J.
    Micromachines (Basel); 2022 Jun 20; 13(6):. PubMed ID: 35744592
    [Abstract] [Full Text] [Related]

  • 14. The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era.
    Ecer F, Ögel İY, Krishankumar R, Tirkolaee EB.
    Artif Intell Rev; 2023 Apr 11; ():1-34. PubMed ID: 37362884
    [Abstract] [Full Text] [Related]

  • 15. Unmanned aerial vehicles for surveying marine fauna: assessing detection probability.
    Hodgson A, Peel D, Kelly N.
    Ecol Appl; 2017 Jun 11; 27(4):1253-1267. PubMed ID: 28178755
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  • 16. Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology.
    Fornace KM, Drakeley CJ, William T, Espino F, Cox J.
    Trends Parasitol; 2014 Nov 11; 30(11):514-9. PubMed ID: 25443854
    [Abstract] [Full Text] [Related]

  • 17. Unmanned aerial vehicles for surveillance and control of vectors of malaria and other vector-borne diseases.
    Mechan F, Bartonicek Z, Malone D, Lees RS.
    Malar J; 2023 Jan 20; 22(1):23. PubMed ID: 36670398
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