Scholarly record
MAPS OF STABLE INTRA-FIELD HETEROGENEITY BASED ON BIG SATELLITE DATA IN THE PRECISION FARMING SYSTEM
Abstract
This paper demonstrates stable intra-field heterogeneity maps constructed during the analysis of large satellite data. The analysis of the effectiveness of the use of maps of stable intra-field heterogeneity of soil fertility in systems of precision farming has been made. It is shown that on the basis of maps of stable intra-field heterogeneity, it is possible to construct task maps for precision farming. The economic efficiency of the use of task maps for the differentiated input of chemicals was calculated. The economic efficiency is at least $ 120/ha or 5.8 cwt/ha with constant amounts of fertilizers used on the field.
Publication Impact Profile
Publication details
References10
Gallo B.C., Demattê J.A.M., Rizzo R., Safanelli J.L., Mendes W. de S., Lepsch I.F., Sato M.V., Romero D.J., Lacerda M.P.C. Multi-Temporal Satellite Images on Topsoil Attribute Quantification and the Relationship with Soil Classes and Geology // Remote Sensing. 2018. V. 10. Iss 10. P 1571
Geographical data mining: key design issues Stan Openshaw, Centre for Computational Geography, GeoComputation Conference Proceedings Proceedings of the 4th International Conference on GeoComputation ary Washington College Fredericksburg, Virginia, USA 25 - 28 July 1999 School of Geography, University of Leeds, Leeds LS2 9JT United Kingdom // http://www.geocomputation.org/1999/051/gc_051.htm
Huang Y., Chen Z.-X., Yu T., Huang X.-Z., Gu X.-F. Agricultural remote sensing big data: Management and applications // Journal of Integrative Agriculture. 2018. V.17(9). P.1915–1931. DOI: 10.1016/S2095-3119(17)61859-8
Romanenkov V.A., Smith J.U., Smith P., Sirotenko O.D., Rukhovich D.I., Romanenko I.A. Soil organic carbon dynamics of croplands in European Russia: Estimates from the “model of humus balance”. //Regional Environmental Change. Springer. Vol. 7. N 2. June 2007. P.93-104.
Rukhovich D.I., Koroleva P.V., Vilchevskaya E.V., Romanenkov V.A., Kolesnikova L.G. Constructing a spatially-resolved database for modeling soil organic carbon stocks of croplands in European Russia. //Regional Environmental Change. Springer. Vol. 7. N 2. June 2007. P.51-61.
Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Simakova M.S., Kulyanitsa A.L., Bryzzhev A.V., Koroleva P.V., Maps of averaged spectral deviations from soil lines and their comparison with traditional soil maps // Eurasian Soil Science. 2016. V. 49. № 7. P. 739-756.
Rukhovich D.I., Rukhovich A.D., Rukhovich D.D., Simakova M.S., Kulyanitsa A.L., Bryzzhev A.V., Koroleva P.V. The informativeness of coefficients a and b of the soil line for the analysis of remote sensing materials // Eurasian Soil Science. 2016. V. 49. № 8. P. 831-845.
Rukhovich D.I., Simakova M.S., Bryzzhev A.V., Koroleva P.V., Kalinina N.V., Vil’chevskaya E.V., Dolinina E.A., Rukhovich S.V., Kulyanitsa A.L. Impact of shelterbelts on the fragmentation of erosional networks and local soil waterlogging // Eurasian Soil Science. 2014. V. 47. № 11. P. 1086-1099.
Satellite Big Data: How It Is Changing the Face of Precision Farming // http://www.farmmanagement.pro/satellite-big-data-how-it-is-changing-the-face-of-precision-farming/
Wolfert S., Ge L., Verdouw C., Bogaardt M. J. Big Data in Smart Farming – A review // Agricultural Systems. 2017. V.153. P.69–80. DOI: 10.1016/j.agsy.2017.01.023
Citing literature
Number of times cited according to Crossref: 2
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
