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Introducing the variogram It is nearly impossible to talk about the analysis of Precision Agriculture data without mentioning the variogram. Be aware that some people will refer to the term semi-variogram instead. There is some kind of confusion between these two terms (Bachmaier et Backes, 2008). Some authors talk about semi-variogram because of the factor 2 at the denominator Read more about Variogram and spatial autocorrelation[…]
Interpolation is the process of mapping a variable at unsampled locations using a set of samples of known location and value (Fig. 1). These samples can come from a field campaign or can be the information measured by fixed or mobile sensors inside a field. More than often, in Precision Agriculture studies, one has a subset Read more about Spatial data interpolation : TIN, IDW, kriging, block kriging, co-kriging…. What are the differences ?[…]
Field campaigns are a fundamental element to many precision agriculture studies. Indeed, sampling is necesary to calibrate a agronomic model or to evaluate the spatial structure of valuable and non accessible (or at least with difficulty) information via remote or proxy sensing (soil water status, leaf nitrogen content…) [Fig. 1]. The location in space of the Read more about Optimizing field sampling : smart sampling[…]