Matches in SemOpenAlex for { <https://semopenalex.org/work/W2098400452> ?p ?o ?g. }
- W2098400452 endingPage "1567" @default.
- W2098400452 startingPage "1549" @default.
- W2098400452 abstract "The long term archiving of both Landsat imagery and wheat yield mapping datasets sensed by precision agriculture technology has the potential through the development of statistical relationships to predict high resolution estimates of wheat yield over large areas for multiple seasons. Quantifying past yield performance over different growing seasons can inform agricultural management decisions ranging from fertilizer applications at the sub-paddock scale to changes in land use at a landscape scale. However, an understanding of the magnitude of prediction errors is needed. In this study, we examine the predictive wheat yield relationships developed from Normalised Difference Vegetation Index (NDVI) acquired Landsat imagery and combine-mounted yield monitors for three Western Australian farms over different growing seasons. We further analysed their predictive capability when these relationships are used to extrapolate yield from one farm to another. Over all seasons, the best predictions were achieved with imagery acquired in September. Of the five seasons reviewed, three showed very reasonable prediction accuracies, with the low and high rainfall years providing good predictions. Medium rainfall years showed the greatest variation in prediction accuracy with marginal to poor predictions resulting from narrow ranges of measured wheat yield and NDVI values. These results demonstrate the potential benefit of fusing together two high resolution datasets to create robust wheat yield prediction models over different growing seasons, the outputs of which can be used to inform agricultural decision making." @default.
- W2098400452 created "2016-06-24" @default.
- W2098400452 creator A5024466739 @default.
- W2098400452 creator A5072351182 @default.
- W2098400452 creator A5074069462 @default.
- W2098400452 date "2013-03-26" @default.
- W2098400452 modified "2023-09-25" @default.
- W2098400452 title "Testing the Temporal Ability of Landsat Imagery and Precision Agriculture Technology to Provide High Resolution Historical Estimates of Wheat Yield at the Farm Scale" @default.
- W2098400452 cites W1482456683 @default.
- W2098400452 cites W1967395374 @default.
- W2098400452 cites W1967417918 @default.
- W2098400452 cites W1967720470 @default.
- W2098400452 cites W1969529304 @default.
- W2098400452 cites W1971883950 @default.
- W2098400452 cites W1972964370 @default.
- W2098400452 cites W1980426198 @default.
- W2098400452 cites W1980703241 @default.
- W2098400452 cites W1983710841 @default.
- W2098400452 cites W1992245241 @default.
- W2098400452 cites W1995855214 @default.
- W2098400452 cites W1996184304 @default.
- W2098400452 cites W2001826939 @default.
- W2098400452 cites W2003299437 @default.
- W2098400452 cites W2003553369 @default.
- W2098400452 cites W2003951484 @default.
- W2098400452 cites W2004675407 @default.
- W2098400452 cites W2010634199 @default.
- W2098400452 cites W2017541618 @default.
- W2098400452 cites W2017746108 @default.
- W2098400452 cites W2028296664 @default.
- W2098400452 cites W2028462059 @default.
- W2098400452 cites W2033904036 @default.
- W2098400452 cites W2040157160 @default.
- W2098400452 cites W2040246094 @default.
- W2098400452 cites W2042585542 @default.
- W2098400452 cites W2046155621 @default.
- W2098400452 cites W2046984008 @default.
- W2098400452 cites W2047298296 @default.
- W2098400452 cites W2050900916 @default.
- W2098400452 cites W2053406469 @default.
- W2098400452 cites W2057154121 @default.
- W2098400452 cites W2057891673 @default.
- W2098400452 cites W2060901316 @default.
- W2098400452 cites W2068491117 @default.
- W2098400452 cites W2070971469 @default.
- W2098400452 cites W2071540364 @default.
- W2098400452 cites W2073694412 @default.
- W2098400452 cites W2077960775 @default.
- W2098400452 cites W2080849056 @default.
- W2098400452 cites W2085415038 @default.
- W2098400452 cites W2086187277 @default.
- W2098400452 cites W2086469298 @default.
- W2098400452 cites W2087268018 @default.
- W2098400452 cites W2088086092 @default.
- W2098400452 cites W2088280947 @default.
- W2098400452 cites W2088761050 @default.
- W2098400452 cites W2103438090 @default.
- W2098400452 cites W2104166156 @default.
- W2098400452 cites W2142287941 @default.
- W2098400452 cites W2145274077 @default.
- W2098400452 cites W2147746661 @default.
- W2098400452 cites W2150140969 @default.
- W2098400452 cites W2153598078 @default.
- W2098400452 cites W2168429145 @default.
- W2098400452 cites W2168703761 @default.
- W2098400452 cites W2171395380 @default.
- W2098400452 cites W4238433235 @default.
- W2098400452 cites W4247113327 @default.
- W2098400452 cites W44046574 @default.
- W2098400452 doi "https://doi.org/10.3390/rs5041549" @default.
- W2098400452 hasPublicationYear "2013" @default.
- W2098400452 type Work @default.
- W2098400452 sameAs 2098400452 @default.
- W2098400452 citedByCount "23" @default.
- W2098400452 countsByYear W20984004522013 @default.
- W2098400452 countsByYear W20984004522015 @default.
- W2098400452 countsByYear W20984004522016 @default.
- W2098400452 countsByYear W20984004522017 @default.
- W2098400452 countsByYear W20984004522018 @default.
- W2098400452 countsByYear W20984004522019 @default.
- W2098400452 countsByYear W20984004522020 @default.
- W2098400452 countsByYear W20984004522021 @default.
- W2098400452 countsByYear W20984004522022 @default.
- W2098400452 countsByYear W20984004522023 @default.
- W2098400452 crossrefType "journal-article" @default.
- W2098400452 hasAuthorship W2098400452A5024466739 @default.
- W2098400452 hasAuthorship W2098400452A5072351182 @default.
- W2098400452 hasAuthorship W2098400452A5074069462 @default.
- W2098400452 hasBestOaLocation W20984004521 @default.
- W2098400452 hasConcept C100970517 @default.
- W2098400452 hasConcept C118518473 @default.
- W2098400452 hasConcept C120217122 @default.
- W2098400452 hasConcept C127413603 @default.
- W2098400452 hasConcept C134121241 @default.
- W2098400452 hasConcept C137660486 @default.
- W2098400452 hasConcept C142724271 @default.
- W2098400452 hasConcept C1549246 @default.
- W2098400452 hasConcept C166957645 @default.