A comparative review of the state and advancement of Site-Specific Crop Management in the UK and China
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摘要
Precision agriculture, and more specifically Site-Specific Crop Management(SSCM), has been implemented in some form across nearly all agricultural production systems over the past 25 years. Adoption has been greatest in developed agricultural countries. In this review article, the current situation of SSCM adoption and application is investigated from the perspective of a developed(UK) and developing(China) agricultural economy. The current state-of-the art is reviewed with an emphasis on developments in position system technology and satellite-based remote sensing. This is augmented with observations on the differences between the use of SSCM technologies and methodologies in the UK and China and discussion of the opportunities for(and limitations to)increasing SSCM adoption in developing agricultural economies. A particular emphasis is given to the role of socio-demographic factors and the application of responsible research and innovation(RRI) in translating agritechnologies into China and other developing agricultural economies. Several key research and development areas are identified that need to be addressed to facilitate the delivery of SSCM as a holistic service into areas with low precision agriculture(PA) adoption. This has implications for developed as well as developing agricultural economies.
Precision agriculture, and more specifically Site-Specific Crop Management(SSCM), has been implemented in some form across nearly all agricultural production systems over the past 25 years. Adoption has been greatest in developed agricultural countries. In this review article, the current situation of SSCM adoption and application is investigated from the perspective of a developed(UK) and developing(China) agricultural economy. The current state-of-the art is reviewed with an emphasis on developments in position system technology and satellite-based remote sensing. This is augmented with observations on the differences between the use of SSCM technologies and methodologies in the UK and China and discussion of the opportunities for(and limitations to)increasing SSCM adoption in developing agricultural economies. A particular emphasis is given to the role of socio-demographic factors and the application of responsible research and innovation(RRI) in translating agritechnologies into China and other developing agricultural economies. Several key research and development areas are identified that need to be addressed to facilitate the delivery of SSCM as a holistic service into areas with low precision agriculture(PA) adoption. This has implications for developed as well as developing agricultural economies.
Precision agriculture, and more specifically Site-Specific Crop Management(SSCM), has been implemented in some form across nearly all agricultural production systems over the past 25 years. Adoption has been greatest in developed agricultural countries. In this review article, the current situation of SSCM adoption and application is investigated from the perspective of a developed(UK) and developing(China) agricultural economy. The current state-of-the art is reviewed with an emphasis on developments in position system technology and satellite-based remote sensing. This is augmented with observations on the differences between the use of SSCM technologies and methodologies in the UK and China and discussion of the opportunities for(and limitations to)increasing SSCM adoption in developing agricultural economies. A particular emphasis is given to the role of socio-demographic factors and the application of responsible research and innovation(RRI) in translating agritechnologies into China and other developing agricultural economies. Several key research and development areas are identified that need to be addressed to facilitate the delivery of SSCM as a holistic service into areas with low precision agriculture(PA) adoption. This has implications for developed as well as developing agricultural economies.
引文
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3.Mulla D J,Bhatti A U,Hammond M W,Benson J.A comparison of winter wheat yield and quality under uniform versus spatially variable fertilizer management.Agriculture,Ecosystems&Environment,1992,38(4):301-311
4.Jenny H.The soil resource.Origin and behavior.Vegetatio,1984,57(2-3):102
5.Dale T,Carter V G.Topsoil and Civilization.Norman:University of Oklahoma Press,1974
6.Sfiligoj E.2013 Precision Ag Top 5 Technologies.PrecisionAg,2013.
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8.DEFRA.Heath A,Farm Practices Survey Autumn 2012-England.2013
9.Verma L.China pursues precision agriculture on a grand scale.Resource Magazine,2015,22(4):18-19
10.Kendall H,Naughton P,Clark B,Clark J,Taylor J,Li Z,Zhao C,Yang G,Chen J.Precision agriculture in China:exploring awareness,understanding,attitudes and perceptions of agricultural experts and end-users in China.Advances in Animal Biosciences,2017,8(2):703-707
11.Clark B,Jones G D,Kendall H,Taylor J,Cao Y,Li W,Zhao C,Chen J,Yang G,Chen L,Li Z,Gaulton R,Frewer L J.A proposed framework for accelerating technology trajectories in agriculture:a case study in China.Frontiers of Agricultural Science and Engineering,2018,5(4):485-498
12.Gao L,Sun D,Huang J.Impact of land tenure policy on agricultural investments in China:evidence from a panel data study.China Economic Review,2017,45:244-252
13.He Z,Wu F,Zhang H,Hu Z.General situation and development of precision agriculture in our country.Chinese Agricultural Mechanization,2009,(6):23-26
14.Zhao C.Research and Practice of Precision Agriculture.Beijing:Science Press,2009(in Chinese)
15.Wu G,Meng Z,Chen L,Fu W,Dong J.Evaluation of application effect of the laser land leveling technology in typical areas of China.Available at ispag.org on April 20,2018
16.Qiu Z,He Y,Li W.A note on the adoption of precision agriculture in eastern China.Outlook on Agriculture,2007,36(4):255-262
17.Perez-Ruiz M,Upadhyaya S K.GNSS in precision agricultural operation.New Approach of Indoor and Outdoor Localization Systems,2012
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20.Grejner-Brzezinska D A,Arslan N,Wielgosz P,Hong C.Network calibration for unfavorable reference-rover geometry in networkbased RTK:Ohio CORS case study.Journal of Surveying Engineering,2009,135(3):90-100
21.Edwards S J,Clarke P J,Penna N T,Goebell S.An examination of network RTK GPS services in Great Britain.Empire Survey Review,2010,42(316):107-121
22.Liu H,Guo S,Liu J,Tian Z,Zhang D.Present status analysis on the construction and application of CORS in China.Berlin:Springer,2012,160(1038):393-400
23.Guo J,Li X,Li Z,Hu L,Yang G,Zhao C,David F,David W,Ge M.Multi-GNSS precise point positioning for precision agriculture.Precision Agriculture,2018,19(10):1-17
24.Li X,Ge M,Dou?a J,Wickert J.Real-time precise point positioning regional augmentation for large GPS reference networks.GPSSolutions,2014,18(1):61-71
25.Li Z,Li X,Ge M,Hu L,Taylor J,Zhao C.Multi-GNSS real time precise point positioning(PPP)for precision farming.Presented at the The Joint International Conferences on Intelligent Agriculture(ICIA),Beijing,China,2015
26.Database.National Soil Information Service Platform.Available at http://www.soil.csdb.cn on 6 Aug 2018
27.McBratney A B,Mendon?a Santos M L,Minasny B.On digital soil mapping.Geoderma,2003,117(1):3-52
28.Taylor J A,Minasny B.A protocol for converting qualitative point soil pit survey data into continuous soil property maps.Soil Research,2006,44(5):543-550
29.Friedman S P.Soil properties influencing apparent electrical conductivity:a review.Computers and Electronics in Agriculture,2005,46(1):45-70
30.Stenberg B,Viscarra R A,Mouazen A M,Wetterlind J.Chapter Five-Visible and Near Infrared Spectroscopy in Soil Science.In:Donald L S,ed.Advances in Agronomy,2010,107:163-215
31.Mulla D J.Twenty five years of remote sensing in precision agriculture:key advances and remaining knowledge gaps.Biosystems Engineering,2013,114(4):358-371
32.Bhatti A U,Mulla D J,Frazier B E.Estimation of soil properties and wheat yields on complex eroded hills using geostatistics and thematic mapper images.Remote Sensing of Environment,1991,37(3):181-191
33.Khanal S,Fulton J,Shearer S.An overview of current and potential applications of thermal remote sensing in precision agriculture.Computers and Electronics in Agriculture,2017,139:22-32
34.Li Z,Fielding E J,Cross P,Preusker R.Advanced InSARatmospheric correction:MERIS/MODIS combination and stacked water vapour models.International Journal of Remote Sensing,2009,30(13):3343-3363
35.Li Z.Correction of atmospheric water vapour effects on repeat-pass SAR interferometry using GPS,MODIS and MERIS data.Dissertation for the Doctoral Degree.London:University College London,2005
36.Armitage R P,Alberto Ramirez F,Mark Danson F,Ogunbadewa EY.Probability of cloud-free observation conditions across Great Britain estimated using MODIS cloud mask.Remote Sensing Letters,2013,4(5):427-435
37.Forkuor G,Conrad C,Thiel M,Ullmann T,Zoungrana E.Integration of optical and Synthetic Aperture Radar imagery for improving crop mapping in Northwestern Benin,West Africa.Remote Sensing,2014,6(7):6472-6499
38.Kim Y,Jackson T,Bindlish R,Hoonyol L,Sukyoung H.Radar vegetation index for estimating the vegetation water content of rice and soybean.IEEE Geoscience and Remote Sensing Letters,2012,9(4):564-568
39.Hung C,Xu Z,Sukkarieh S.Feature learning based approach for weed classification using high resolution aerial images from a digital camera mounted on a UAV.Remote Sensing,2014,6(12):12037-12054
40.Nigon T J,Mulla D J,Rosen C J,Cohen Y,Alchanatis V,Knight J,Rud R.Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars.Computers and Electronics in Agriculture,2015,112:36-46
41.Panigada C,Rossini M,Meroni M,Cilia C,Busetto L,Amaducci S,Boschetti M,Cogliati S,Picchi V,Pinto F,Marchesi A,Colombo R.Fluorescence,PRI and canopy temperature for water stress detection in cereal crops.International Journal of Applied Earth Observation and Geoinformation,2014,30:167-178
42.Delalieux S,Zarco-Tejada P J,Tits L,Jimenez M A,Intrigliolo D S,Somers B.Unmixing-based fusion of hyperspatial and hyperspectral airborne imagery for early detection of vegetation stress.IEEEJournal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(6):2571-2582
43.Zhang C,Kovacs J M.The application of small unmanned aerial systems for precision agriculture:a review.Precision Agriculture,2012,13(6):693-712
44.Yang G,Liu J,Zhao C,Li Z,Huang Y,Yu H,Xu B,Yang X,Zhu D,Zhang X,Zhang R,Feng H,Zhao X,Li Z,Li H,Yang H.Unmanned aerial vehicle remote sensing for field-based crop phenotyping:current status and perspectives.Frontiers of Plant Science,2017,8:1111
45.Araus J L,Kefauver S C,Zaman-Allah M,Olsen M S,Cairns J E.Translating high-throughput phenotyping into genetic gain.Trends in Plant Science,2018,23(5):451-466
46.Virlet N,Sabermanesh K,Sadeghi-Tehran P,Hawkesford M J.Field Scanalyzer:an automated robotic field phenotyping platform for detailed crop monitoring.Functional Plant Biology,2017,44(1):143-153
47.NERCITA.New Books Recommendations.Available at The National Engineering Research Center for Information Technology in Agriculture(NERCITA)website on September 10,2018
48.XImea.Hyperspectral miniature USB3 cameras-xiSpe.Available at XImea website on September 10,2018
49.P?l?nen I,Saari H,Kaivosoja J,Honkavaara E,Pesonen L.Hyperspectral imaging based biomass and nitrogen content estimations from light-weight UAV.In Remote Sensing for Agriculture,Ecosystems,and Hydrology XV.International Society for Optics and Photonics.2013
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