How to get and what to do with coloured maps
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Since our first editorial, the Precision Ag Corner is following the cycle of Precision Agriculture (PA) described in the first issue. Until now, we have described how to obtain georeferenced data using visual observations or Global Navigation Satellite Systems together with soil or crop sensors. That is the purpose of the first stage of the PA cycle. We need to bear in mind that the final objective of PA is making more informed management decisions. For this purpose it is crucial to turn the collected data during stage 1 into useful information (stage 2) and, subsequently, into clever management decisions (stage 3). In this issue, we describe how to convert data into information in the form of digital maps. In 2018, New Ag International has again partnered with the Research Group on AgroICT & Precision Agriculture (GRAP) of the University of Lleida-Agrotecnio Center in Catalonia, Spain. In every issue of the magazine Jaume Arnó, José A. Martínez-Casasnovas and Alexandre Escolà, with our Editorial Team, will put together an editorial whose ambition is to help the various stakeholders bridge the gap between datanomics and commercial farming.
NoteAvant-títol: Precision Ag
Is part ofNew Ag International, 2018, vol. Feb/March 2018, num. 69, p. 22-31
European research projects
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Mapping vineyard leaf area using mobile terrestrial laser scanners: should rows be scanned on-the-go or discontinuosly sampled? Moral Martínez, Ignacio del; Rosell Polo, Joan Ramon; Company Mesa, Joaquim; Sanz Cortiella, Ricardo; Escolà i Agustí, Alexandre; Masip Vilalta, Joan; Martínez Casasnovas, José Antonio; Arnó Satorra, Jaume (Molecular Diversity Preservation International, 2016-01-19)The leaf area index (LAI) is defined as the one-side leaf area per unit ground area, and is probably the most widely used index to characterize grapevine vigor. However, LAI varies spatially within vineyard plots. Mapping ...
Using Sentinel-2 images to implement Precision Agriculture techniques in large arable fields: First results of a case study Escolà i Agustí, Alexandre; Badia, N.; Arnó Satorra, Jaume; Martínez Casasnovas, José Antonio (The Animal Consortium, 2017-07-16)This work assesses the potential of Sentinel-2A images in precision agriculture for Barley production in a case study. Two workflows are proposed: 1) images were acquired with a relatively simple methodology to follow the ...
Use of farmer knowledge in the delineation of potential management zones in precision agriculture: a case study in maize (Zea mays L.) Martínez Casasnovas, José Antonio; Escolà i Agustí, Alexandre; Arnó Satorra, Jaume (MDPI, 2018-06-13)One of the fields of research in precision agriculture (PA) is the delineation of potential management zones (PMZs, also known as site-specific management zones, or simply management zones). To delineate PMZs, cluster ...