Abstract
Over time, the forms of management of agricultural areas have changed due to advances in agricultural sciences, based mainly on the concepts and techniques of Precision and Digital Agriculture (PA). The PA can be understood as a branch of agricultural technology, based on the spatial and temporal variability of soils and crops. Spatial and temporal variability is an inherent characteristic of all-natural phenomena, especially when considering dynamic and complex systems, such as soil-plant. For the succes the agriculture, is important an accurate characterization of the magnitude and scope of variation in space and time from all factors that affect the crop yield. The study of variability involves the spatial analysis techniques — particularly geostatistics — and must be performed respecting the basic assumptions of the methods, from data collection planning to the choice of the investigation models. Understend the variability, with an global vision of system, supports the decision-making and increases the efficiency of management practices.
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de Assis Silva, S., de Souza Lima, J.S., Santos, N.T. (2022). Spatial and Temporal Variability Analysis. In: Marçal de Queiroz, D., M. Valente, D.S., de Assis de Carvalho Pinto, F., Borém, A., Schueller, J.K. (eds) Digital Agriculture. Springer, Cham. https://doi.org/10.1007/978-3-031-14533-9_3
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DOI: https://doi.org/10.1007/978-3-031-14533-9_3
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