Abstract

AGUILAR RIVERA, Noé. Remote sensing as a tool for competitiveness of agriculture. Rev. Mex. Cienc. Agríc [online]. 2015, vol.6, n.2, pp.399-405. ISSN 2007-0934.

Remote sensing is a key component in different applications through transverse disciplines as support system for decision making, by combining information from multiple sources and may be useful in agricultural applications to detect or assess limiting factors, crop discrimination, inventories , stages of growth, plant vigor, nutrient needs, spatial variation in productivity, estimation of biomass and yields, surfaces and sampling of physical and chemical soil properties in complex biophysical environments using satellite images. It can provide land administrators data to help them make quick decisions about their operations at different spatial scales. However, data derived from this technique has not been used to its full potential for crop management, largely because these data are not available for researchers and farmers, and to the understanding of sensors characteristics like spatial, spectral and radiometric resolution, acquisition date when integrated with conventional information derived from field study with remote sensing data. Precision agriculture (PA) using remote sensing (PR), geographic information systems (GIS) and global positioning systems (GPS) is potentially one of the most powerful tools, processes and techniques for the competitiveness of agriculture. The aim of this study was to review the current situation and development of documented applications, advantages, limitations, strategies and perspectives for the future of remote sensing, with special emphasis on agriculture, the contribution of biochemical components of vegetation in spectral signal and spectral indices are compared and summarized in detail.

Keywords : agricultural crops; foliar chemistry; models; remote sensing.

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