Abstract
Active optical sensors have been widely used for the spatial and temporal monitoring of peanut culture because they are accurate, non-destructive methods for rapidly obtaining data. The objective of this study was to determine the optimal stage of crop growth for collecting sensor readings based on correlations between quality indicators. In addition, we compared vegetation indices (Normalized Difference Vegetation Index [NDVI], Normalized Difference Red-Edge Index, [NDRE], and Inverse Ratio Vegetation Index, [IRVI]) by monitoring temporal variability in the peanut crop in order to determine which of them obtained the best reading quality throughout the process. The experiment was performed on the 2016/17 crop in the agricultural area of the municipality of Dumont in the state of São Paulo, Brazil. The experimental design was based on the basic assumptions of statistical quality control and contained 63 sample points in a 30 × 30 m grid. The parameters were evaluated at 30, 45, 60, 75, and 119 days after sowing (DAS) using proximal sensing with GreenSeeker and OptRX sensors. We found that 45 and 60 DAS were the optimal times for monitoring peanut crop variability. For spatiotemporal monitoring of the culture with control charts, NDRE showed the best readings throughout the process when compared to NDVI and IRVI.
Highlights
IntroductionPeanut is considered one of the most important legumes, for its economic value and nutritionally
The largest peanut-producing state in Brazil is São Paulo
Sixtythree sampling points in a 30 × 30 m mesh grid were used for greater representativity of data collected regarding the biophysical characteristics of peanuts associated with NDVI, NDRE, and IRVI (Fig. 1)
Summary
Peanut is considered one of the most important legumes, for its economic value and nutritionally. It is widely used in crop rotation and succession, in sugarcane and pasture reforestation areas, because it is a short-cycle crop and its operations are fully mechanized (Grotta et al, 2008). Considering the economic significance of this crop, it is important to increase its productivity. This can be achieved through the use of modern techniques and methods that allow greater knowledge of crop status by providing accurate temporal monitoring. According to Grohs et al (2009), within a given crop there are areas with different productivity potentials that need different types of management
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