Zobrazeno 1 - 10
of 91
pro vyhledávání: '"J M, Bradford"'
Publikováno v:
Methods of Soil Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf50cfba1538ec29ece5c0b2c2af6d22
https://doi.org/10.2136/sssabookser5.4.c18
https://doi.org/10.2136/sssabookser5.4.c18
Publikováno v:
Methods of Soil Analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da1c3d688e5933735723c395088a2043
https://doi.org/10.2136/sssabookser5.4.c64
https://doi.org/10.2136/sssabookser5.4.c64
Publikováno v:
Australian Health Review. 43:396
Accreditation standards for Australian aged care homes include the requirement for programs to ensure infections are controlled. Effective infection prevention programs are supported by surveillance data providing the impetus for quality improvement
Publikováno v:
Precision Agriculture. 10:292-303
High resolution satellite imagery has the potential to map within-field variation in crop growth and yield. This study examined SPOT 5 satellite multispectral imagery for estimating grain sorghum yield. A 60 km × 60 km SPOT 5 scene and yield monitor
Publikováno v:
Transactions of the ASABE. 49:1599-1606
High spatial resolution imagery from recently launched satellite sensors offers new opportunities for crop management. The objective of this study was to evaluate QuickBird satellite imagery for mapping yield variability in cotton fields. A QuickBird
Publikováno v:
Journal of Economic Entomology. 97:409-413
AIRBORNE HYPERSPECTRAL IMAGERY AND YIELD MONITOR DATA FOR ESTIMATING GRAIN SORGHUM YIELD VARIABILITY
Publikováno v:
Transactions of the ASAE. 47:915-924
As hyperspectral imagery is becoming more available, it is necessary to evaluate its potential for crop monitoring and precision agriculture applications. In this study, airborne hyperspectral imagery was examined for estimating grain sorghum (Sorghu
Publikováno v:
Transactions of the ASAE. 43:1927-1938
Airborne digital imagery is becoming an increasingly important data source for precision agriculture. In this study, airborne digital imagery and yield monitor data were used to map plant growth and yield variability. Color-infrared (CIR) images were