What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture?
Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precisio...
Uloženo v:
| Vydáno v: | International journal of remote sensing Ročník 39; číslo 15-16; s. 5345 - 5376 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
Taylor & Francis
18.08.2018
Taylor & Francis Ltd |
| Témata: | |
| ISSN: | 0143-1161, 1366-5901, 1366-5901 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precision agriculture: (1) smaller ground sample distances, (2) incident light sensors for image calibration, and (3) canopy height models created from structure-from-motion point clouds. These developments hold promise for future data products. In order to better match vendor capabilities with farmer requirements, we classify applications into three general niches: (1) scouting for problems, (2) monitoring to prevent yield losses, and (3) planning crop management operations. The three different niches have different requirements for sensor calibration and have different costs of operation. Planning crop management operations may have the most environmental and economic benefits. However, a USDA Economic Research Report showed that only about 20% of farmers in the USA have adopted variable rate applicators; so, most farmers in the USA may not have the technology to benefit from management plans. In the near-term, monitoring to prevent yield losses from weeds, insects, and diseases may provide the most economic and environmental benefits, but the costs for data acquisition need to be reduced. |
|---|---|
| AbstractList | Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially crop nutrient management. There are three advantages using UAS platforms compared to manned aircraft platforms with the same sensor for precision agriculture: (1) smaller ground sample distances, (2) incident light sensors for image calibration, and (3) canopy height models created from structure-from-motion point clouds. These developments hold promise for future data products. In order to better match vendor capabilities with farmer requirements, we classify applications into three general niches: (1) scouting for problems, (2) monitoring to prevent yield losses, and (3) planning crop management operations. The three different niches have different requirements for sensor calibration and have different costs of operation. Planning crop management operations may have the most environmental and economic benefits. However, a USDA Economic Research Report showed that only about 20% of farmers in the USA have adopted variable rate applicators; so, most farmers in the USA may not have the technology to benefit from management plans. In the near-term, monitoring to prevent yield losses from weeds, insects, and diseases may provide the most economic and environmental benefits, but the costs for data acquisition need to be reduced. |
| Author | Hunt, E. Raymond Daughtry, Craig S. T. |
| Author_xml | – sequence: 1 givenname: E. Raymond surname: Hunt fullname: Hunt, E. Raymond email: raymond.Hunt@ars.usda.gov organization: USDA ARS Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory – sequence: 2 givenname: Craig S. T. surname: Daughtry fullname: Daughtry, Craig S. T. organization: USDA ARS Beltsville Agricultural Research Center, Hydrology and Remote Sensing Laboratory |
| BookMark | eNqFkEFrFDEUx4NUcNv6EYSAFy-zTSYzyQQPKqW1QqEXxWPIJG_WlJlkfckg--3NshWkBz2FF37_P-_9zslZTBEIecPZlrOBXTHeCc4l37aMqy3vOBOMvSAbLqRses34GdkcmeYIvSLnOT8yxqTq1YaM33_YQncpeWoR6BoXGyPUIaBDOxWaD7nAkumUkNodBrfOZUU7U4QlFaAZYg5xR230dI_gQg4p_kXCh0vycrJzhtdP7wX5dnvz9fquuX_4_OX6033jOj6URjuvfe-VH3zdu9dyGAW3o3K91LJtQSilJ2V7JaUYWcu0G70QnoF2bf0DcUHenXr3mH6ukItZQnYwzzZCWrNp6_nD0FUrFX37DH1MK8a6nanFXS87qUWl3p8ohylnhMm4UGyp9xW0YTacmaN_88e_Ofo3T_5run-W3mNYLB7-m_t4yoVYnS_2V8LZm2IPc8IJbayGjfh3xW_s7J35 |
| CitedBy_id | crossref_primary_10_1089_ind_2020_29222_lpw crossref_primary_10_1016_j_jplph_2025_154566 crossref_primary_10_1016_j_compag_2020_105695 crossref_primary_10_3390_fi14100275 crossref_primary_10_1146_annurev_resource_100518_093929 crossref_primary_10_3390_w12092359 crossref_primary_10_4018_IJISSCM_344038 crossref_primary_10_1088_1755_1315_275_1_012001 crossref_primary_10_1080_0035919X_2024_2409629 crossref_primary_10_1016_j_agsy_2022_103451 crossref_primary_10_1080_09720529_2020_1721887 crossref_primary_10_1109_TGRS_2025_3580712 crossref_primary_10_3390_rs13040686 crossref_primary_10_1002_agj2_20916 crossref_primary_10_1016_j_fcr_2022_108710 crossref_primary_10_1016_j_jclepro_2021_129099 crossref_primary_10_3390_agriculture13051075 crossref_primary_10_3390_agriculture14050754 crossref_primary_10_3390_rs13020308 crossref_primary_10_3390_rs17132230 crossref_primary_10_3390_rs12162659 crossref_primary_10_3390_rs15194800 crossref_primary_10_1038_s41598_023_50921_8 crossref_primary_10_1016_j_eswa_2023_120194 crossref_primary_10_1016_j_compag_2021_106273 crossref_primary_10_1016_j_atech_2022_100100 crossref_primary_10_1016_j_jag_2019_05_011 crossref_primary_10_1139_dsa_2023_0021 crossref_primary_10_3390_s23010489 crossref_primary_10_1093_jee_toab081 crossref_primary_10_3390_agriculture13081621 crossref_primary_10_1016_j_biocon_2019_02_037 crossref_primary_10_3390_jsan13040039 crossref_primary_10_1007_s10668_024_05601_6 crossref_primary_10_1016_j_jer_2024_04_019 crossref_primary_10_3390_app10196668 crossref_primary_10_3390_drones8110686 crossref_primary_10_1007_s11119_021_09786_y crossref_primary_10_1016_j_ecolecon_2021_107047 crossref_primary_10_1146_annurev_control_053018_023617 crossref_primary_10_1016_j_rsase_2023_101045 crossref_primary_10_3390_rs13193919 crossref_primary_10_1002_jsfa_9346 crossref_primary_10_1590_1983_40632020v5061785 crossref_primary_10_1016_j_robot_2023_104514 crossref_primary_10_3390_agronomy9050258 crossref_primary_10_3389_fpls_2024_1435016 crossref_primary_10_1146_annurev_phyto_010820_012832 crossref_primary_10_1016_j_isprsjprs_2021_01_024 crossref_primary_10_3390_rs11131617 crossref_primary_10_3390_rs13101869 crossref_primary_10_1002_ps_6623 crossref_primary_10_1007_s12892_025_00285_4 crossref_primary_10_3389_fpls_2025_1594728 crossref_primary_10_1080_01431161_2018_1491518 crossref_primary_10_3390_rs12101656 crossref_primary_10_1038_s41598_023_42428_z crossref_primary_10_1080_23754931_2020_1798808 crossref_primary_10_1016_j_compag_2023_107867 crossref_primary_10_47236_2594_7036_2025_v9_1693 crossref_primary_10_1007_s40725_019_00094_3 crossref_primary_10_1016_j_compag_2020_105344 crossref_primary_10_1080_07038992_2024_2332179 crossref_primary_10_3390_drones5040112 crossref_primary_10_3390_rs13204032 crossref_primary_10_3390_agriengineering3020016 crossref_primary_10_1080_01431161_2020_1832283 crossref_primary_10_1109_TGRS_2024_3500000 crossref_primary_10_1016_j_agsy_2022_103520 crossref_primary_10_3390_agronomy11010138 crossref_primary_10_1109_ACCESS_2019_2913957 crossref_primary_10_3390_rs12020215 crossref_primary_10_1093_jee_toz268 crossref_primary_10_5902_2236499465070 crossref_primary_10_1007_s10514_021_10028_3 crossref_primary_10_1016_j_compag_2020_105626 crossref_primary_10_3390_rs11212519 crossref_primary_10_1002_agg2_70107 crossref_primary_10_1007_s10661_022_10425_w crossref_primary_10_1007_s41403_024_00458_7 crossref_primary_10_1016_j_jag_2021_102592 crossref_primary_10_1016_j_isci_2025_113326 crossref_primary_10_3389_fpls_2023_1307492 crossref_primary_10_1139_cjps_2024_0072 crossref_primary_10_1016_j_rse_2025_114638 crossref_primary_10_3390_land11081350 crossref_primary_10_3390_rs11050545 crossref_primary_10_3390_agronomy13071942 crossref_primary_10_3390_rs12101597 crossref_primary_10_1016_j_jrurstud_2021_02_016 crossref_primary_10_3390_rs13091704 crossref_primary_10_1590_1983_21252024v3711701rc crossref_primary_10_3390_agronomy11010007 crossref_primary_10_3390_rs12050748 crossref_primary_10_3390_rs16020235 crossref_primary_10_1007_s11119_020_09777_5 crossref_primary_10_3390_drones7100599 crossref_primary_10_3390_plants14182829 crossref_primary_10_34133_plantphenomics_0252 crossref_primary_10_1007_s11119_022_09982_4 crossref_primary_10_1080_01426397_2024_2391387 crossref_primary_10_3390_agronomy15010212 crossref_primary_10_1016_j_biosystemseng_2025_104220 crossref_primary_10_1007_s11042_024_19653_3 crossref_primary_10_1109_JSYST_2021_3104107 crossref_primary_10_1016_j_ecoser_2020_101183 crossref_primary_10_1590_1807_1929_agriambi_v26n6p466_476 crossref_primary_10_1016_j_isprsjprs_2024_02_003 crossref_primary_10_1002_ppj2_20096 crossref_primary_10_1016_j_isprsjprs_2019_12_010 crossref_primary_10_3390_agriculture10070256 crossref_primary_10_1038_s41598_024_56879_5 crossref_primary_10_1109_ACCESS_2023_3315606 crossref_primary_10_3390_rs11161853 crossref_primary_10_3390_rs11212573 crossref_primary_10_2134_ael2019_09_0040 crossref_primary_10_3390_plants14162544 crossref_primary_10_3389_fagro_2024_1346946 crossref_primary_10_3390_horticulturae9090967 crossref_primary_10_1016_j_ophoto_2023_100052 crossref_primary_10_2174_0126662558312821240804183436 crossref_primary_10_3390_pr10122717 crossref_primary_10_3390_agronomy12010043 crossref_primary_10_3390_agriculture12071019 crossref_primary_10_3390_agriculture14010161 crossref_primary_10_1016_j_geomat_2024_100018 crossref_primary_10_2135_tppj2019_02_0004 crossref_primary_10_3390_rs11222622 crossref_primary_10_1088_1742_6596_1952_4_042138 crossref_primary_10_3390_s21020638 crossref_primary_10_1016_j_ecoinf_2023_102305 crossref_primary_10_1111_pbr_13228 crossref_primary_10_3390_su15042886 crossref_primary_10_3390_eng4010058 crossref_primary_10_3390_rs13061204 crossref_primary_10_3390_s21165620 crossref_primary_10_3390_inventions4040071 crossref_primary_10_1111_pce_14056 crossref_primary_10_1007_s40030_024_00816_2 crossref_primary_10_3390_s20216129 crossref_primary_10_1007_s11119_021_09809_8 crossref_primary_10_3390_rs12193237 crossref_primary_10_3390_rs14071604 crossref_primary_10_3390_agronomy15071714 crossref_primary_10_1016_j_rse_2019_111402 crossref_primary_10_1016_j_rse_2022_113366 crossref_primary_10_3390_rs12060981 crossref_primary_10_1016_j_njas_2019_100315 crossref_primary_10_3390_rs12183030 crossref_primary_10_1016_j_jrurstud_2020_01_005 crossref_primary_10_1016_j_cropro_2019_104865 crossref_primary_10_1007_s11119_021_09861_4 crossref_primary_10_3390_s19204446 crossref_primary_10_3390_rs12182981 crossref_primary_10_3390_rs14143269 crossref_primary_10_1007_s11760_021_01908_3 crossref_primary_10_1155_2022_8600674 crossref_primary_10_3390_rs13091697 crossref_primary_10_1007_s11119_021_09816_9 crossref_primary_10_3390_su142114603 crossref_primary_10_5194_essd_15_1733_2023 crossref_primary_10_7717_peerj_cs_1167 |
| Cites_doi | 10.1016/j.compag.2014.02.009 10.1016/S0176-1617(96)80277-X 10.1016/0378-4290(89)90023-3 10.2136/sssaj2008.0150 10.2458/azu_rangelands_v22i2_quilter 10.1016/j.compag.2010.07.001 10.1890/070095 10.1016/j.biosystemseng.2012.08.009 10.3390/rs4061573 10.1080/01431161.2015.1047994 10.1007/s11263-007-0107-3 10.1117/1.jrs.10.046021 10.3390/rs71012793 10.1007/s13593-011-0041-1 10.1007/s11119-005-2324-5 10.1016/j.compag.2004.02.006 10.1080/01431161.2016.1264032 10.1080/01431161.2015.1117685 10.1071/FP13126 10.1016/j.eja.2012.05.005 10.1007/s11119-015-9415-8 10.1016/S0065-2113(08)60914-1 10.3733/hilg.v26n05p223 10.1016/j.rse.2011.10.007 10.2747/1548-1603.44.3.203 10.1117/12.936205 10.1109/TGRS.2008.2010457 10.2134/agronj2011.0164 10.2134/agronj1996.00021962008800050008x 10.1007/s11119-008-9080-2 10.1016/j.adhoc.2012.06.012 10.1007/s11119-012-9274-5 10.1080/07038992.1998.10855254 10.1080/07038992.1983.10855042 10.1007/BF00296705 10.2134/agronj2010.0450 10.1016/j.rse.2014.06.006 10.1016/j.compag.2008.01.004 10.1201/b18759-2 10.1016/j.eja.2015.07.004 10.14358/PERS.69.6.619 10.1111/j.1477-9730.1980.tb00006.x 10.1016/j.still.2009.12.006 10.1023/A:1024557205871 10.1016/j.compag.2015.08.011 10.1016/0034-4257(95)00132-k 10.1038/nature11420 10.1016/j.jag.2014.05.006 10.1002/ps.4209 10.1080/01431161.2016.1199061 10.2134/agronj2016.01.0041 10.1016/j.rse.2015.11.013 10.3390/rs9060544 10.2134/agronj2006.0258 10.1016/j.agrformet.2012.12.013 10.1016/j.geoderma.2007.04.021 10.13031/2013.17718 10.2134/agronj2009.0114 10.2111/REM-D-09-00074.1 10.2134/agronj2007.0362 10.1016/j.compag.2010.02.007 10.1007/s11119-016-9442-0 10.1371/journal.pone.0130479 10.1371/journal.pone.0112894 10.1177/0309133317703092 10.2111/1551-5028(2007)60[523:LAICDO]2.0.CO;2 10.1016/j.compag.2014.04.012 10.1094/CM-2005-0527-01-RS 10.3390/rs4051392 10.3390/rs2010290 10.1002/ps.3677 10.1016/s0034-4257(02)00010-x 10.1016/j.jag.2015.02.012 10.1016/j.jag.2013.05.007 10.1007/s11119-016-9490-5 10.2134/agronj2002.0815 10.1016/j.fcr.2013.12.018 10.2134/agronj2012.0030 10.1080/01431168308948546 10.1080/014311600210894 10.1111/gcb.13164 10.5539/jas.v4n4p103 10.1016/j.isprsjprs.2014.02.013 10.2134/agronj2005.0200 10.3390/rs61110335 10.1016/j.rse.2016.08.026 10.1016/j.isprsjprs.2009.06.004 10.1029/2005GL022688 10.1080/01431161.2016.1249311 10.1201/b19336-6 10.5307/JBE.2016.41.2.126 10.1080/01431161.2012.666363 10.3390/rs61110395 10.1016/j.rse.2010.08.023 10.1016/j.rse.2008.09.019 10.1080/01431161003745608 10.1080/01431160500373039 10.1371/journal.pone.0077151 10.1016/j.compag.2012.03.006 10.2134/agronj2006.0135 10.3390/rs5052164 10.1016/0034-4257(79)90013-0 10.1007/s00271-014-0447-z 10.14358/PERS.69.6.647 10.1080/01431161003743173 10.1007/s11119-016-9468-3 10.1016/j.rse.2008.01.026 10.1016/j.fcr.2010.01.010 10.1016/j.compag.2004.03.002 10.3390/rs4092736 10.1023/B:VISI.0000029664.99615.94 10.1016/j.biosystemseng.2016.06.014 10.3390/rs8050416 10.1016/j.fcr.2012.04.003 10.1109/JSTARS.2015.2406339 10.1016/j.fcr.2009.11.016 10.1016/j.rse.2011.01.009 10.1007/s11119-014-9371-8 10.2134/agronj2010.0009 10.13031/2013.24091 10.2489/jswc.66.6.373 10.1117/1.JRS.11.026013 10.1007/s11119-016-9491-4 10.1109/TGRS.2007.904836 10.3390/s150305609 10.3390/rs70302971 10.1016/s0034-4257(00)00113-9 10.1016/j.protcy.2013.11.010 10.2134/agronj2013.0310 10.1016/j.gecco.2016.09.010 10.1007/s11119-011-9231-8 10.1016/j.fcr.2012.05.011 10.3390/rs3112529 10.1007/s11119-012-9273-6 10.1127/1432-8364/2013/0200 10.2134/agronj2008.0162Rx 10.1016/j.isprsjprs.2015.08.002 10.1186/s13007-015-0078-2 10.2134/agronj2002.0435 10.1117/1.JRS.8.085199 10.1117/12.2224248 10.3389/fpls.2017.01270 10.1300/J144v09n01_02 10.1007/s11119-013-9322-9 10.3390/rs9070708 10.1117/1.2536275 10.1007/s11119-015-9414-9 10.2134/agronj2010.0004 10.1023/A:1021171514148 10.1146/annurev-ento-010814-021005 10.1016/j.compag.2015.03.019 10.1007/s13593-012-0111-z 10.1109/JSTARS.2014.2317876 10.2979/NPJ.2010.11.3.327 10.1016/j.compag.2005.04.004 10.1016/j.rsase.2015.10.002 10.1109/TGRS.2008.2009355 10.1016/j.biosystemseng.2016.11.004 10.1007/s11119-017-9518-5 10.3390/s150819688 10.1016/S0034-4257(98)00045-5 10.1016/j.fcr.2012.09.009 10.1016/j.fcr.2013.11.012 10.2111/1551-501X-33.4.27 10.1146/annurev-ento-010715-023834 10.3390/drones1010002 10.1016/j.rse.2012.09.019 10.14358/PERS.76.6.661 10.1080/01431161.2016.1253899 10.1109/TGRS.2013.2265295 10.1016/S0034-4257(97)00045-X 10.1016/0034-4257(94)90020-5 10.1614/WT-D-12-00109.1 10.1016/S0034-4257(01)00250-4 10.1016/j.rse.2004.05.017 10.1016/j.eja.2016.04.013 10.1080/01431161.2016.1239288 10.1016/j.geomorph.2012.08.021 10.1016/j.eja.2013.06.007 10.3390/rs70404026 10.1117/1.jrs.10.016003 10.1007/s10658-011-9878-z 10.4324/9780203128329 10.2134/agronj15.0076 10.2134/agronj2009.0115 10.1016/j.compag.2007.06.006 10.1109/JSTARS.2015.2422716 10.1016/S0065-2113(08)60513-1 10.1201/b19336-2 10.3390/rs5020949 10.2136/sssaj2005.0396 10.1016/j.jag.2011.05.011 10.1007/s11119-016-9484-3 10.2111/REM-D-11-00006.1 10.1029/WR017i004p01133 10.1109/36.581987 10.1016/j.csi.2011.03.004 10.3390/s8053557 10.1080/01431161.2016.1226002 10.21273/HORTTECH.21.3.274 10.1111/wre.12026 10.1109/JSTARS.2012.2198049 10.14358/PERS.69.6.665 10.1016/j.agwat.2015.01.020 10.2134/agronj2002.0397 10.2136/sssaj2008.0288 10.14358/PERS.81.4.281 10.1016/j.rse.2009.06.018 10.1117/12.966243 10.1080/10798587.2008.10643309 10.1016/j.rse.2017.06.007 10.1002/9780470960622 |
| ContentType | Journal Article |
| Copyright | This work was authored as part of the Contributor's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 USC. 105, no copyright protection is available for such works under US Law. |
| Copyright_xml | – notice: This work was authored as part of the Contributor's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 USC. 105, no copyright protection is available for such works under US Law. |
| DBID | 0YH AAYXX CITATION 7TG 7TN 8FD F1W FR3 H8D H96 KL. KR7 L.G L7M 7S9 L.6 |
| DOI | 10.1080/01431161.2017.1410300 |
| DatabaseName | Taylor & Francis Open Access CrossRef Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Meteorological & Geoastrophysical Abstracts - Academic Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Advanced Technologies Database with Aerospace AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef Aerospace Database Civil Engineering Abstracts Aquatic Science & Fisheries Abstracts (ASFA) Professional Meteorological & Geoastrophysical Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources Oceanic Abstracts Technology Research Database ASFA: Aquatic Sciences and Fisheries Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Meteorological & Geoastrophysical Abstracts - Academic AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA Aerospace Database |
| Database_xml | – sequence: 1 dbid: 0YH name: Taylor & Francis Open Access url: https://www.tandfonline.com sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geography Economics Agriculture |
| EISSN | 1366-5901 |
| EndPage | 5376 |
| ExternalDocumentID | 10_1080_01431161_2017_1410300 1410300 |
| Genre | Research Article |
| GeographicLocations | United States--US United States |
| GeographicLocations_xml | – name: United States--US – name: United States |
| GroupedDBID | -~X .7F .DC .QJ 0BK 0R~ 0YH 29J 30N 4.4 5GY 5VS AAENE AAGDL AAHBH AAHIA AAJMT AALDU AAMIU AAPUL AAQRR ABCCY ABFIM ABHAV ABJNI ABLIJ ABLJU ABPAQ ABPEM ABRLO ABUFD ABXUL ABXYU ACGEJ ACGFS ACIWK ACTIO ADCVX ADGTB ADXPE AEISY AENEX AEOZL AEPSL AEXLP AEYOC AFKVX AFRVT AGDLA AGMYJ AHDZW AIJEM AIYEW AJWEG AKBVH AKOOK ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO DU5 EBS EJD E~A E~B F5P H13 HF~ IPNFZ J.P KYCEM M4Z P2P RIG RNANH ROSJB RTWRZ S-T SNACF TASJS TBQAZ TDBHL TEN TFL TFT TFW TN5 TNC TQWBC TTHFI TUROJ TWF UPT UT5 UU3 ZGOLN ~02 ~S~ AAYXX CITATION 7TG 7TN 8FD F1W FR3 H8D H96 KL. KR7 L.G L7M 7S9 L.6 |
| ID | FETCH-LOGICAL-c418t-9cd9d5d7d8d3665968b31ab7c569622e3779f7a57663b0209cbd33d0e9c2766e3 |
| IEDL.DBID | 0YH |
| ISICitedReferencesCount | 198 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000442288100026&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0143-1161 1366-5901 |
| IngestDate | Fri Sep 05 16:09:54 EDT 2025 Wed Aug 13 03:19:11 EDT 2025 Sat Nov 29 06:13:36 EST 2025 Tue Nov 18 21:44:05 EST 2025 Mon Oct 20 23:46:43 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 15-16 |
| Language | English |
| License | open-access: http://creativecommons.org/licenses/by-nc-nd/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c418t-9cd9d5d7d8d3665968b31ab7c569622e3779f7a57663b0209cbd33d0e9c2766e3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1410300 |
| PQID | 2094564693 |
| PQPubID | 2045515 |
| PageCount | 32 |
| ParticipantIDs | proquest_miscellaneous_2116884136 crossref_citationtrail_10_1080_01431161_2017_1410300 crossref_primary_10_1080_01431161_2017_1410300 informaworld_taylorfrancis_310_1080_01431161_2017_1410300 proquest_journals_2094564693 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-08-18 |
| PublicationDateYYYYMMDD | 2018-08-18 |
| PublicationDate_xml | – month: 08 year: 2018 text: 2018-08-18 day: 18 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | International journal of remote sensing |
| PublicationYear | 2018 |
| Publisher | Taylor & Francis Taylor & Francis Ltd |
| Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Ltd |
| References | e_1_3_3_77_1 e_1_3_3_162_1 e_1_3_3_207_1 e_1_3_3_222_1 e_1_3_3_39_1 e_1_3_3_16_1 e_1_3_3_159_1 e_1_3_3_136_1 e_1_3_3_174_1 e_1_3_3_31_1 e_1_3_3_54_1 e_1_3_3_113_1 e_1_3_3_197_1 e_1_3_3_88_1 e_1_3_3_150_1 e_1_3_3_173_1 e_1_3_3_219_1 e_1_3_3_211_1 e_1_3_3_234_1 e_1_3_3_27_1 e_1_3_3_80_1 e_1_3_3_147_1 e_1_3_3_185_1 e_1_3_3_5_1 e_1_3_3_42_1 e_1_3_3_65_1 e_1_3_3_101_1 e_1_3_3_124_1 e_1_3_3_30_1 e_1_3_3_76_1 e_1_3_3_161_1 e_1_3_3_184_1 e_1_3_3_206_1 e_1_3_3_221_1 e_1_3_3_38_1 e_1_3_3_91_1 National Research Council (NRC) (e_1_3_3_154_1) 2010 e_1_3_3_158_1 e_1_3_3_15_1 e_1_3_3_112_1 e_1_3_3_135_1 e_1_3_3_196_1 e_1_3_3_53_1 e_1_3_3_41_1 e_1_3_3_87_1 e_1_3_3_195_1 e_1_3_3_210_1 e_1_3_3_233_1 e_1_3_3_108_1 Jackson R. D. (e_1_3_3_107_1) 1983; 1983 e_1_3_3_49_1 e_1_3_3_100_1 e_1_3_3_146_1 e_1_3_3_26_1 e_1_3_3_169_1 e_1_3_3_4_1 e_1_3_3_123_1 e_1_3_3_52_1 e_1_3_3_75_1 e_1_3_3_98_1 e_1_3_3_209_1 Allen J. D. (e_1_3_3_6_1) 1990; 6 e_1_3_3_201_1 e_1_3_3_224_1 e_1_3_3_138_1 e_1_3_3_14_1 e_1_3_3_37_1 e_1_3_3_90_1 e_1_3_3_130_1 e_1_3_3_115_1 e_1_3_3_153_1 e_1_3_3_199_1 e_1_3_3_176_1 e_1_3_3_40_1 e_1_3_3_63_1 e_1_3_3_86_1 Corwin D. L. (e_1_3_3_48_1) 2013 e_1_3_3_190_1 e_1_3_3_149_1 e_1_3_3_25_1 e_1_3_3_141_1 e_1_3_3_126_1 e_1_3_3_164_1 Huang Y. (e_1_3_3_92_1) 2013; 6 e_1_3_3_187_1 e_1_3_3_97_1 e_1_3_3_51_1 Abendroth L. J. (e_1_3_3_3_1) 2011 e_1_3_3_140_1 e_1_3_3_208_1 Viscarra Rossel R. A. (e_1_3_3_213_1) 2013 e_1_3_3_200_1 e_1_3_3_223_1 Schimmelpfennig D. (e_1_3_3_183_1) 2016 e_1_3_3_13_1 e_1_3_3_59_1 e_1_3_3_36_1 e_1_3_3_114_1 e_1_3_3_137_1 e_1_3_3_152_1 e_1_3_3_198_1 e_1_3_3_74_1 e_1_3_3_62_1 e_1_3_3_151_1 e_1_3_3_212_1 Soil Survey Staff (e_1_3_3_189_1) 2014 e_1_3_3_24_1 e_1_3_3_47_1 e_1_3_3_148_1 e_1_3_3_163_1 e_1_3_3_186_1 e_1_3_3_2_1 e_1_3_3_125_1 e_1_3_3_85_1 e_1_3_3_102_1 e_1_3_3_181_1 e_1_3_3_226_1 e_1_3_3_50_1 e_1_3_3_203_1 e_1_3_3_117_1 e_1_3_3_132_1 e_1_3_3_178_1 e_1_3_3_35_1 e_1_3_3_58_1 e_1_3_3_12_1 e_1_3_3_73_1 e_1_3_3_96_1 e_1_3_3_155_1 Stoorvogel J. J. (e_1_3_3_193_1) 2016 e_1_3_3_215_1 e_1_3_3_192_1 Zermas D. (e_1_3_3_229_1) 2015 e_1_3_3_230_1 e_1_3_3_9_1 e_1_3_3_105_1 e_1_3_3_128_1 Fixen P. E. (e_1_3_3_64_1) 2007 e_1_3_3_46_1 e_1_3_3_69_1 e_1_3_3_120_1 e_1_3_3_23_1 e_1_3_3_84_1 e_1_3_3_143_1 e_1_3_3_166_1 Hongoh D. (e_1_3_3_89_1) 2001 Hunt R. (e_1_3_3_99_1) 1981 e_1_3_3_180_1 e_1_3_3_202_1 e_1_3_3_225_1 e_1_3_3_116_1 e_1_3_3_139_1 e_1_3_3_19_1 Williamson J. M. (e_1_3_3_218_1) 2011; 36 e_1_3_3_131_1 e_1_3_3_57_1 e_1_3_3_34_1 e_1_3_3_72_1 e_1_3_3_95_1 e_1_3_3_177_1 e_1_3_3_11_1 e_1_3_3_60_1 Erickson B. (e_1_3_3_61_1) 2015 e_1_3_3_191_1 e_1_3_3_214_1 e_1_3_3_8_1 e_1_3_3_127_1 e_1_3_3_142_1 e_1_3_3_68_1 e_1_3_3_45_1 e_1_3_3_83_1 e_1_3_3_104_1 e_1_3_3_165_1 e_1_3_3_188_1 e_1_3_3_22_1 e_1_3_3_160_1 e_1_3_3_205_1 e_1_3_3_71_1 e_1_3_3_228_1 e_1_3_3_79_1 e_1_3_3_220_1 e_1_3_3_119_1 e_1_3_3_18_1 e_1_3_3_111_1 e_1_3_3_157_1 e_1_3_3_10_1 e_1_3_3_33_1 e_1_3_3_56_1 e_1_3_3_94_1 e_1_3_3_134_1 e_1_3_3_171_1 e_1_3_3_194_1 e_1_3_3_217_1 e_1_3_3_232_1 e_1_3_3_7_1 e_1_3_3_29_1 e_1_3_3_122_1 e_1_3_3_145_1 e_1_3_3_168_1 e_1_3_3_21_1 e_1_3_3_44_1 e_1_3_3_67_1 e_1_3_3_82_1 e_1_3_3_182_1 e_1_3_3_204_1 e_1_3_3_227_1 e_1_3_3_78_1 e_1_3_3_70_1 e_1_3_3_118_1 e_1_3_3_17_1 e_1_3_3_110_1 e_1_3_3_133_1 e_1_3_3_156_1 e_1_3_3_179_1 e_1_3_3_93_1 e_1_3_3_55_1 e_1_3_3_32_1 e_1_3_3_170_1 e_1_3_3_216_1 Jenkins D. (e_1_3_3_109_1) 2013 Roberts T. L. (e_1_3_3_175_1) 2007 e_1_3_3_231_1 e_1_3_3_129_1 e_1_3_3_106_1 e_1_3_3_28_1 e_1_3_3_167_1 e_1_3_3_121_1 e_1_3_3_81_1 e_1_3_3_20_1 e_1_3_3_66_1 e_1_3_3_43_1 e_1_3_3_144_1 |
| References_xml | – start-page: 77 volume-title: Fertilizer Best Management Practices year: 2007 ident: e_1_3_3_64_1 – ident: e_1_3_3_201_1 doi: 10.1016/j.compag.2014.02.009 – ident: e_1_3_3_29_1 doi: 10.1016/S0176-1617(96)80277-X – ident: e_1_3_3_116_1 doi: 10.1016/0378-4290(89)90023-3 – ident: e_1_3_3_128_1 doi: 10.2136/sssaj2008.0150 – ident: e_1_3_3_168_1 doi: 10.2458/azu_rangelands_v22i2_quilter – volume-title: The Economic Impact of Unmanned Aircraft Systems Integration in the United States year: 2013 ident: e_1_3_3_109_1 – ident: e_1_3_3_125_1 doi: 10.1016/j.compag.2010.07.001 – ident: e_1_3_3_35_1 doi: 10.1890/070095 – ident: e_1_3_3_150_1 doi: 10.1016/j.biosystemseng.2012.08.009 – ident: e_1_3_3_84_1 doi: 10.3390/rs4061573 – ident: e_1_3_3_194_1 doi: 10.1080/01431161.2015.1047994 – ident: e_1_3_3_188_1 doi: 10.1007/s11263-007-0107-3 – ident: e_1_3_3_40_1 doi: 10.1117/1.jrs.10.046021 – ident: e_1_3_3_143_1 doi: 10.3390/rs71012793 – ident: e_1_3_3_203_1 doi: 10.1007/s13593-011-0041-1 – ident: e_1_3_3_93_1 doi: 10.1007/s11119-005-2324-5 – volume-title: Toward Sustainable Agricultural Systems in the 21st Century year: 2010 ident: e_1_3_3_154_1 – ident: e_1_3_3_87_1 doi: 10.1016/j.compag.2004.02.006 – ident: e_1_3_3_49_1 doi: 10.1080/01431161.2016.1264032 – ident: e_1_3_3_114_1 doi: 10.1080/01431161.2015.1117685 – ident: e_1_3_3_60_1 – volume-title: Keys to Soil Taxonomy year: 2014 ident: e_1_3_3_189_1 – ident: e_1_3_3_8_1 doi: 10.1071/FP13126 – ident: e_1_3_3_209_1 doi: 10.1016/j.eja.2012.05.005 – ident: e_1_3_3_133_1 doi: 10.1007/s11119-015-9415-8 – ident: e_1_3_3_187_1 doi: 10.1016/S0065-2113(08)60914-1 – ident: e_1_3_3_47_1 doi: 10.3733/hilg.v26n05p223 – ident: e_1_3_3_227_1 doi: 10.1016/j.rse.2011.10.007 – ident: e_1_3_3_82_1 doi: 10.2747/1548-1603.44.3.203 – ident: e_1_3_3_221_1 doi: 10.1117/12.936205 – ident: e_1_3_3_28_1 doi: 10.1109/TGRS.2008.2010457 – ident: e_1_3_3_181_1 doi: 10.2134/agronj2011.0164 – start-page: 6521 volume-title: In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015) year: 2015 ident: e_1_3_3_229_1 – ident: e_1_3_3_30_1 doi: 10.2134/agronj1996.00021962008800050008x – ident: e_1_3_3_204_1 doi: 10.1007/s11119-008-9080-2 – ident: e_1_3_3_53_1 doi: 10.1016/j.adhoc.2012.06.012 – ident: e_1_3_3_230_1 doi: 10.1007/s11119-012-9274-5 – ident: e_1_3_3_39_1 doi: 10.1080/07038992.1998.10855254 – ident: e_1_3_3_198_1 doi: 10.1080/07038992.1983.10855042 – ident: e_1_3_3_106_1 doi: 10.1007/BF00296705 – ident: e_1_3_3_219_1 doi: 10.2134/agronj2010.0450 – ident: e_1_3_3_211_1 doi: 10.1016/j.rse.2014.06.006 – ident: e_1_3_3_102_1 doi: 10.1016/j.compag.2008.01.004 – ident: e_1_3_3_149_1 doi: 10.1201/b18759-2 – ident: e_1_3_3_178_1 doi: 10.1016/j.eja.2015.07.004 – ident: e_1_3_3_17_1 doi: 10.14358/PERS.69.6.619 – ident: e_1_3_3_215_1 doi: 10.1111/j.1477-9730.1980.tb00006.x – ident: e_1_3_3_34_1 doi: 10.1016/j.still.2009.12.006 – ident: e_1_3_3_50_1 doi: 10.1023/A:1024557205871 – ident: e_1_3_3_158_1 doi: 10.1016/j.compag.2015.08.011 – start-page: ERR volume-title: Farm Profits and Adoption of Precision Agriculture year: 2016 ident: e_1_3_3_183_1 – ident: e_1_3_3_59_1 doi: 10.1016/0034-4257(95)00132-k – ident: e_1_3_3_148_1 doi: 10.1038/nature11420 – ident: e_1_3_3_76_1 doi: 10.1016/j.jag.2014.05.006 – ident: e_1_3_3_151_1 doi: 10.1002/ps.4209 – ident: e_1_3_3_156_1 doi: 10.1080/01431161.2016.1199061 – ident: e_1_3_3_65_1 doi: 10.2134/agronj2016.01.0041 – ident: e_1_3_3_135_1 doi: 10.1016/j.rse.2015.11.013 – ident: e_1_3_3_75_1 doi: 10.3390/rs9060544 – ident: e_1_3_3_191_1 doi: 10.2134/agronj2006.0258 – ident: e_1_3_3_228_1 doi: 10.1016/j.agrformet.2012.12.013 – ident: e_1_3_3_41_1 doi: 10.1016/j.geoderma.2007.04.021 – ident: e_1_3_3_111_1 doi: 10.13031/2013.17718 – ident: e_1_3_3_117_1 doi: 10.2134/agronj2009.0114 – ident: e_1_3_3_112_1 doi: 10.2111/REM-D-09-00074.1 – volume-title: 22nd Asian Conference on Remote Sensing year: 2001 ident: e_1_3_3_89_1 – ident: e_1_3_3_57_1 doi: 10.2134/agronj2007.0362 – ident: e_1_3_3_179_1 doi: 10.1016/j.compag.2010.02.007 – ident: e_1_3_3_184_1 doi: 10.1007/s11119-016-9442-0 – ident: e_1_3_3_200_1 doi: 10.1371/journal.pone.0130479 – ident: e_1_3_3_231_1 doi: 10.1371/journal.pone.0112894 – volume-title: Plant Growth Analysis year: 1981 ident: e_1_3_3_99_1 – ident: e_1_3_3_157_1 doi: 10.1177/0309133317703092 – ident: e_1_3_3_32_1 doi: 10.2111/1551-5028(2007)60[523:LAICDO]2.0.CO;2 – ident: e_1_3_3_155_1 doi: 10.1016/j.compag.2014.04.012 – ident: e_1_3_3_132_1 doi: 10.1094/CM-2005-0527-01-RS – ident: e_1_3_3_207_1 doi: 10.3390/rs4051392 – ident: e_1_3_3_96_1 doi: 10.3390/rs2010290 – ident: e_1_3_3_164_1 doi: 10.1002/ps.3677 – ident: e_1_3_3_186_1 doi: 10.1016/s0034-4257(02)00010-x – ident: e_1_3_3_24_1 doi: 10.1016/j.jag.2015.02.012 – ident: e_1_3_3_56_1 doi: 10.1016/j.jag.2013.05.007 – ident: e_1_3_3_220_1 doi: 10.1007/s11119-016-9490-5 – ident: e_1_3_3_170_1 doi: 10.2134/agronj2002.0815 – ident: e_1_3_3_127_1 doi: 10.1016/j.fcr.2013.12.018 – ident: e_1_3_3_16_1 doi: 10.2134/agronj2012.0030 – ident: e_1_3_3_90_1 doi: 10.1080/01431168308948546 – ident: e_1_3_3_100_1 doi: 10.1080/014311600210894 – ident: e_1_3_3_12_1 doi: 10.1111/gcb.13164 – ident: e_1_3_3_197_1 doi: 10.5539/jas.v4n4p103 – ident: e_1_3_3_46_1 doi: 10.1016/j.isprsjprs.2014.02.013 – ident: e_1_3_3_192_1 doi: 10.2134/agronj2005.0200 – ident: e_1_3_3_72_1 doi: 10.3390/rs61110335 – ident: e_1_3_3_234_1 doi: 10.1016/j.rse.2016.08.026 – ident: e_1_3_3_31_1 doi: 10.1016/j.isprsjprs.2009.06.004 – ident: e_1_3_3_74_1 doi: 10.1029/2005GL022688 – ident: e_1_3_3_142_1 doi: 10.1080/01431161.2016.1249311 – ident: e_1_3_3_81_1 doi: 10.1201/b19336-6 – ident: e_1_3_3_225_1 doi: 10.5307/JBE.2016.41.2.126 – ident: e_1_3_3_208_1 doi: 10.1080/01431161.2012.666363 – start-page: 37 volume-title: Soil-Specific Farming Precision Agriculture year: 2016 ident: e_1_3_3_193_1 – ident: e_1_3_3_23_1 doi: 10.3390/rs61110395 – ident: e_1_3_3_71_1 doi: 10.1016/j.rse.2010.08.023 – start-page: 99 volume-title: Precision Agriculture for Sustainability and Environmental Protection year: 2013 ident: e_1_3_3_213_1 – volume-title: Corn Growth and Development. PMR 1009 year: 2011 ident: e_1_3_3_3_1 – ident: e_1_3_3_25_1 doi: 10.1016/j.rse.2008.09.019 – ident: e_1_3_3_115_1 doi: 10.1080/01431161003745608 – ident: e_1_3_3_101_1 doi: 10.1080/01431160500373039 – ident: e_1_3_3_161_1 doi: 10.1371/journal.pone.0077151 – ident: e_1_3_3_233_1 doi: 10.1016/j.compag.2012.03.006 – ident: e_1_3_3_67_1 doi: 10.2134/agronj2006.0135 – ident: e_1_3_3_141_1 doi: 10.3390/rs5052164 – ident: e_1_3_3_205_1 doi: 10.1016/0034-4257(79)90013-0 – ident: e_1_3_3_77_1 doi: 10.1007/s00271-014-0447-z – ident: e_1_3_3_167_1 doi: 10.14358/PERS.69.6.647 – ident: e_1_3_3_130_1 doi: 10.1080/01431161003743173 – ident: e_1_3_3_44_1 doi: 10.1007/s11119-016-9468-3 – ident: e_1_3_3_108_1 doi: 10.1016/j.rse.2008.01.026 – ident: e_1_3_3_63_1 doi: 10.1016/j.fcr.2010.01.010 – ident: e_1_3_3_4_1 doi: 10.1016/j.compag.2004.03.002 – ident: e_1_3_3_91_1 doi: 10.3390/rs4092736 – ident: e_1_3_3_134_1 doi: 10.1023/B:VISI.0000029664.99615.94 – ident: e_1_3_3_20_1 doi: 10.1016/j.biosystemseng.2016.06.014 – ident: e_1_3_3_62_1 doi: 10.3390/rs8050416 – ident: e_1_3_3_217_1 doi: 10.1016/j.fcr.2012.04.003 – ident: e_1_3_3_73_1 doi: 10.1109/JSTARS.2015.2406339 – ident: e_1_3_3_7_1 doi: 10.1016/j.fcr.2009.11.016 – ident: e_1_3_3_163_1 doi: 10.1016/j.rse.2011.01.009 – ident: e_1_3_3_9_1 doi: 10.1007/s11119-014-9371-8 – ident: e_1_3_3_190_1 doi: 10.2134/agronj2010.0009 – ident: e_1_3_3_195_1 doi: 10.13031/2013.24091 – ident: e_1_3_3_120_1 doi: 10.2489/jswc.66.6.373 – ident: e_1_3_3_98_1 doi: 10.1117/1.JRS.11.026013 – ident: e_1_3_3_129_1 doi: 10.1007/s11119-016-9491-4 – ident: e_1_3_3_80_1 doi: 10.1109/TGRS.2007.904836 – ident: e_1_3_3_162_1 doi: 10.3390/s150305609 – ident: e_1_3_3_139_1 doi: 10.3390/rs70302971 – ident: e_1_3_3_51_1 doi: 10.1016/s0034-4257(00)00113-9 – ident: e_1_3_3_166_1 doi: 10.1016/j.protcy.2013.11.010 – volume-title: 2015 Precision Agricultural Services Dealership Survey Results year: 2015 ident: e_1_3_3_61_1 – ident: e_1_3_3_85_1 doi: 10.2134/agronj2013.0310 – ident: e_1_3_3_11_1 doi: 10.1016/j.gecco.2016.09.010 – ident: e_1_3_3_119_1 doi: 10.1007/s11119-011-9231-8 – ident: e_1_3_3_232_1 doi: 10.1016/j.fcr.2012.05.011 – ident: e_1_3_3_122_1 doi: 10.3390/rs3112529 – ident: e_1_3_3_196_1 doi: 10.1007/s11119-012-9273-6 – ident: e_1_3_3_22_1 doi: 10.1127/1432-8364/2013/0200 – ident: e_1_3_3_176_1 doi: 10.2134/agronj2008.0162Rx – ident: e_1_3_3_2_1 doi: 10.1016/j.isprsjprs.2015.08.002 – ident: e_1_3_3_226_1 doi: 10.1186/s13007-015-0078-2 – ident: e_1_3_3_182_1 doi: 10.2134/agronj2002.0435 – ident: e_1_3_3_140_1 doi: 10.1117/1.JRS.8.085199 – ident: e_1_3_3_33_1 doi: 10.1117/12.2224248 – volume: 1983 start-page: 15 year: 1983 ident: e_1_3_3_107_1 article-title: Agriculture’s Eye in the Sky. Forever Plane Could Give Continuous Crop Data publication-title: Crop & Soils Magazine – ident: e_1_3_3_14_1 doi: 10.3389/fpls.2017.01270 – ident: e_1_3_3_118_1 doi: 10.1300/J144v09n01_02 – ident: e_1_3_3_78_1 doi: 10.1007/s11119-013-9322-9 – ident: e_1_3_3_224_1 doi: 10.3390/rs9070708 – ident: e_1_3_3_94_1 doi: 10.1117/1.2536275 – ident: e_1_3_3_19_1 doi: 10.1007/s11119-015-9414-9 – ident: e_1_3_3_15_1 doi: 10.2134/agronj2010.0004 – ident: e_1_3_3_173_1 doi: 10.1023/A:1021171514148 – ident: e_1_3_3_153_1 doi: 10.1146/annurev-ento-010814-021005 – ident: e_1_3_3_199_1 doi: 10.1016/j.compag.2015.03.019 – ident: e_1_3_3_52_1 doi: 10.1007/s13593-012-0111-z – volume: 6 start-page: 1 issue: 3 year: 2013 ident: e_1_3_3_92_1 article-title: Development and Prospect of Unmanned Aerial Vehicle Technologies for Agricultural Production Management publication-title: International Journal of Agricultural and Biological Engineering – ident: e_1_3_3_95_1 doi: 10.1109/JSTARS.2014.2317876 – ident: e_1_3_3_37_1 doi: 10.2979/NPJ.2010.11.3.327 – ident: e_1_3_3_5_1 doi: 10.1016/j.compag.2005.04.004 – ident: e_1_3_3_68_1 doi: 10.1016/j.rsase.2015.10.002 – ident: e_1_3_3_124_1 doi: 10.1109/TGRS.2008.2009355 – ident: e_1_3_3_21_1 doi: 10.1016/j.biosystemseng.2016.11.004 – ident: e_1_3_3_97_1 doi: 10.1007/s11119-017-9518-5 – ident: e_1_3_3_38_1 doi: 10.3390/s150819688 – ident: e_1_3_3_26_1 doi: 10.1016/S0034-4257(98)00045-5 – ident: e_1_3_3_210_1 doi: 10.1016/j.fcr.2012.09.009 – ident: e_1_3_3_222_1 doi: 10.1016/j.fcr.2013.11.012 – ident: e_1_3_3_36_1 doi: 10.2111/1551-501X-33.4.27 – volume: 36 start-page: 552 issue: 3 year: 2011 ident: e_1_3_3_218_1 article-title: The Role of Information and Prices in the Nitrogen Fertilizer Management Decision: New Evidence from the Agricultural Resource Management Survey publication-title: Journal of Agricultural and Resource Economics – ident: e_1_3_3_152_1 doi: 10.1146/annurev-ento-010715-023834 – ident: e_1_3_3_79_1 doi: 10.3390/drones1010002 – ident: e_1_3_3_137_1 doi: 10.1016/j.rse.2012.09.019 – ident: e_1_3_3_123_1 doi: 10.14358/PERS.76.6.661 – ident: e_1_3_3_131_1 doi: 10.1080/01431161.2016.1253899 – ident: e_1_3_3_206_1 doi: 10.1109/TGRS.2013.2265295 – ident: e_1_3_3_147_1 doi: 10.1016/S0034-4257(97)00045-X – ident: e_1_3_3_146_1 doi: 10.1016/0034-4257(94)90020-5 – ident: e_1_3_3_83_1 doi: 10.1614/WT-D-12-00109.1 – ident: e_1_3_3_145_1 doi: 10.1016/S0034-4257(01)00250-4 – ident: e_1_3_3_54_1 doi: 10.1016/j.rse.2004.05.017 – ident: e_1_3_3_171_1 doi: 10.1016/j.eja.2016.04.013 – ident: e_1_3_3_177_1 doi: 10.1080/01431161.2016.1239288 – ident: e_1_3_3_216_1 doi: 10.1016/j.geomorph.2012.08.021 – ident: e_1_3_3_18_1 doi: 10.1016/j.eja.2013.06.007 – start-page: 29 volume-title: Fertilizer Best Management Practices year: 2007 ident: e_1_3_3_175_1 – ident: e_1_3_3_43_1 doi: 10.3390/rs70404026 – ident: e_1_3_3_70_1 doi: 10.1117/1.jrs.10.016003 – ident: e_1_3_3_136_1 doi: 10.1007/s10658-011-9878-z – ident: e_1_3_3_159_1 doi: 10.4324/9780203128329 – ident: e_1_3_3_86_1 doi: 10.2134/agronj15.0076 – ident: e_1_3_3_174_1 doi: 10.2134/agronj2009.0115 – ident: e_1_3_3_185_1 doi: 10.1016/j.compag.2007.06.006 – ident: e_1_3_3_214_1 doi: 10.1109/JSTARS.2015.2422716 – ident: e_1_3_3_165_1 doi: 10.1016/S0065-2113(08)60513-1 – ident: e_1_3_3_66_1 doi: 10.1201/b19336-2 – ident: e_1_3_3_13_1 doi: 10.3390/rs5020949 – ident: e_1_3_3_144_1 doi: 10.2136/sssaj2005.0396 – ident: e_1_3_3_121_1 doi: 10.1016/j.jag.2011.05.011 – ident: e_1_3_3_45_1 doi: 10.1007/s11119-016-9484-3 – ident: e_1_3_3_113_1 doi: 10.2111/REM-D-11-00006.1 – ident: e_1_3_3_105_1 doi: 10.1029/WR017i004p01133 – ident: e_1_3_3_212_1 doi: 10.1109/36.581987 – ident: e_1_3_3_10_1 doi: 10.1016/j.csi.2011.03.004 – ident: e_1_3_3_126_1 doi: 10.3390/s8053557 – ident: e_1_3_3_138_1 doi: 10.1080/01431161.2016.1226002 – volume: 6 start-page: 393 issue: 4 year: 1990 ident: e_1_3_3_6_1 article-title: A Look at the Remote Sensing Applications Program of the National Agricultural Statistics Service publication-title: Journal of Official Statistics – ident: e_1_3_3_202_1 doi: 10.21273/HORTTECH.21.3.274 – ident: e_1_3_3_169_1 doi: 10.1111/wre.12026 – ident: e_1_3_3_88_1 doi: 10.1109/JSTARS.2012.2198049 – start-page: 135 volume-title: Precision Agriculture for Sustainability and Environmental Protection year: 2013 ident: e_1_3_3_48_1 – ident: e_1_3_3_55_1 doi: 10.14358/PERS.69.6.665 – ident: e_1_3_3_69_1 doi: 10.1016/j.agwat.2015.01.020 – ident: e_1_3_3_180_1 doi: 10.2134/agronj2002.0397 – ident: e_1_3_3_58_1 doi: 10.2136/sssaj2008.0288 – ident: e_1_3_3_160_1 doi: 10.14358/PERS.81.4.281 – ident: e_1_3_3_27_1 doi: 10.1016/j.rse.2009.06.018 – ident: e_1_3_3_104_1 doi: 10.1117/12.966243 – ident: e_1_3_3_223_1 doi: 10.1080/10798587.2008.10643309 – ident: e_1_3_3_110_1 doi: 10.1016/j.rse.2017.06.007 – ident: e_1_3_3_42_1 doi: 10.1002/9780470960622 |
| SSID | ssj0006757 |
| Score | 2.6382334 |
| Snippet | Remote sensing from unmanned aircraft systems (UAS) was expected to be an important new technology to assist farmers with precision agriculture, especially... |
| SourceID | proquest crossref informaworld |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 5345 |
| SubjectTerms | Agricultural aircraft Agricultural management Agriculture Aircraft Aircraft components Calibration canopy height Costs Crop management Crops Data acquisition data collection Economic benefits Economics Farmers Incident light Insects Mineral nutrients Monitoring New technology Niches nutrient management Plant cover Platforms Precision agriculture Remote sensing Sensors Technology Three dimensional models United States Unmanned aerial vehicles Unmanned aircraft USDA Yields |
| Title | What good are unmanned aircraft systems for agricultural remote sensing and precision agriculture? |
| URI | https://www.tandfonline.com/doi/abs/10.1080/01431161.2017.1410300 https://www.proquest.com/docview/2094564693 https://www.proquest.com/docview/2116884136 |
| Volume | 39 |
| WOSCitedRecordID | wos000442288100026&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAWR databaseName: Taylor & Francis Journals Complete customDbUrl: eissn: 1366-5901 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006757 issn: 0143-1161 databaseCode: TFW dateStart: 19800101 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8QwEA6igl58i-uLCF67bpo2TU4i4uJBxIOP9VTy6ipod2m7gv_eSZsuKyJ70Euh7UwyTJLJTDv5BqFTZYghKqNBoiMWRETZQGRaBLElxEZhL8lqsOfHm-T2lg8G4s5nE5Y-rdLF0FkDFFHbare4pSrbjLgzB0lHwFNxiVlJ1yUq0h5E7UshhCYu_uo9X0-NMfjDzYlph8QJPO0hnt-a-bY9fQMv_WGs6x2ov_4Psm-gNe9-4otmvmyiBZtvoRVfCf3lcxsph-WNh6ORwbKweJK_S2eJsXwtdCGzCjfQzyUGkbEcFlPoDlxYGHWLS5cRnw8xSIjHha_gM0Npz3fQQ__q_vI68HUYAh0RXgVCG2FikxhuKGOxYFxRIlWiYyZYGFqHWZglEiIXRhW4n0IrQ6npWaFDeGbpLlrMR7ndQ5jQJLKahzrWLAIiCPas4qE0UoqMMdFBUav-VHuQclcr4y0lLZapV2DqFJh6BXZQd8o2blA65jGI2bFNq_rzSNbUMknpHN7DdiKkfsGXQCAcMA8TtINOpq9hqbr_LzK3ownQQFOcg9fA9v_Q_QFahVsHKx4QfogWq2Jij9Cy_qhey-K4nv1wve8_fQFjlQAD |
| linkProvider | Taylor & Francis |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3dT9swELcQQ2Iv22BMK-uGkfYaVseJYz9N07QKROlTYbxF_kpBgqRKUqT997vLR9UKTX1gr_GdY5195zv7_DtCvhrHHDMZDxIbiSBixgcqsyqIPWM-CkdJ1oA930yS6VTe3qr1tzCYVokxdNYCRTS2GpUbD6P7lLhviEnHwFXBzKzkDDMV-QjC9lcx7LWInz8b_15ZY3CI2yfTCMUJPP0rnn91s7E_baCXPrPWzRY0fvs_Bv-OvOkcUPqjXTEHZMfnh2S_q4V-9-c9MYjmTedF4aguPV3mjxptMdX3pS11VtMW_LmiMGaq5-UKvIOWHubd0wpz4vM5hSHSRdnV8Fmj9N-PyPX41-znedBVYghsxGQdKOuUi13ipONCxEpIw5k2iY2FEmHoEbUwSzTELoIbcECVNY5zN_LKhvDN8w9kNy9y_5FQBlPkrQxtbEUERBDueSND7bRWmRBqQKJe_qntYMqxWsZDyno0006AKQow7QQ4IGcrtkWL07GNQa1Pblo3ByRZW80k5Vt4h_1KSDuVr4BAITSPUHxATlfNoKx4A6NzXyyBBrqSEvwGcfyC35-Q_fPZ1SSdXEwvP5HX0IQg4wGTQ7Jbl0v_mezZp_q-Kr80qvAXEoMDGw |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3db9MwELfQQLCX8a11dGAkXrPVceLYT2gaq0BM1R4G7C3yZ6kEaZWkk_jvd5c4VSeE9jBe4zvHOt-d75Lz7wj5YBxzzASeFDYTScaMT1SwKsk9Yz5LJ0XowJ6_nxezmby6UhexmrCJZZWYQ4ceKKLz1WjcKxeGirhjhKRjEKlgYVZxhIWKfAJZ-0MInQUq-eX0x8YZQzzc35hGJE7gGS7x_GuaW8fTLfDSv5x1dwJNn_6HtT8jezH8pCe9vjwnD3z1gjyJndB__nlJDGJ50_ly6aiuPV1XvzV6YqoXta11aGkP_dxQWDLV83oD3UFrD7vuaYMV8dWcwgrpqo4dfLYo_cdX5Nv07PL0cxL7MCQ2Y7JNlHXK5a5w0nEhciWk4UybwuZCiTT1iFkYCo3i5wbCT2WN49xNvLIpPPP8NdmplpXfJ5TxIvNWpja3IgMiSPa8kal2WqsghBqRbBB_aSNIOfbK-FWyAcs0CrBEAZZRgCNytGFb9SgddzGo7b0t2-7zSOh7mZT8Dt7xoAhlNPgGCBQC8wjFR-T9ZhhMFf-_6Mov10ADU0kJUYM4uMfr35HHF5-m5fmX2dc3ZBdGEGE8YXJMdtp67Q_JI3vdLpr6bWcIN_hlAc0 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=What+good+are+unmanned+aircraft+systems+for+agricultural+remote+sensing+and+precision+agriculture%3F&rft.jtitle=International+journal+of+remote+sensing&rft.au=Hunt%2C+E+Raymond&rft.au=Daughtry%2C+Craig+S+T&rft.date=2018-08-18&rft.pub=Taylor+%26+Francis+Ltd&rft.issn=0143-1161&rft.eissn=1366-5901&rft.volume=39&rft.issue=15-16&rft.spage=5345&rft_id=info:doi/10.1080%2F01431161.2017.1410300&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0143-1161&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0143-1161&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0143-1161&client=summon |