Precision agriculture applied to soybean: Part III - Spatial and temporal variability of yield

Abstract

The Brazilian Savannah is an important production center of grains despite the presence of low fertility soils. In this agricultural scenario, the delineation of management zones for the application of lime and fertilizer seems to be promising for a high potential for success and may result in the reduction in production cost with an increase in the yield. The objective of this work was to evaluate the spatial and temporal variations in soybean yield in the Brazilian Savannah involving the delineation of management zones based on the apparent soil electrical conductivity (ECa). In an agricultural field in the Brazilian Savannah, 160 sampling points were taken as the references for the mapping of soybean yield in the crop seasons of 2011

Spatial-temporal Analysis of Soybean Productivity Using Geostatistical Methods

“…When analyzing the ranges of geostatistical models (Table 1), the range varies considerably (260.98 m) over the studied agricultural years, indicating a lack of temporal stability in the dependence radius of the spatial structure of the data. This fact can also be observed in the works conducted by Bakhsh et al (2000) and Bottega et al (2017), who obtained a variation range of 91 m and 248 m, respectively.…”

“…Among these works, we also find geostatistical studies effectively related to soybean productivity in a spatial-temporal context. Bakhsh et al (2000) and Bottega et al (2017) studied three crop years, and De Bastiani et al (2017) studied five crop years. In these analyses, obtaining sample data becomes a complicated, time-consuming, and often uncertain task, given that the soybean culture often depends on unpredictable and uncontrollable factors.…”

Desempeño de diferentes índices de vegetación de Sentinel-2 para estimar el rendimiento de soja en agricultura de precisión

“…De esta manera, los mapas de rendimiento no sólo proveen información sobre la capacidad productiva de un terreno agrícola, sino que representan una herramienta relevante para el manejo de los sistemas agrícolas de precisión. La teledetección, que tradicionalmente ha empleado las regiones del espectro electromagnético correspondientes a la luz visible y al infrarrojo, constituye en la actualidad un componente más de la AP para realizar el monitoreo del suelo y los cultivos (Bottega de Queiroz et al, 2017;Khanal et al, 2017).…”