Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 22 ISSUE 3
Written by Mihai Valentin HERBEI, Florin SALA

The study used remote sensing-based techniques to monitor a maize crop, the Pioneer 9911 hybrid, and thus predict the production for crop and farm management. The Sentinel 2 satellite system was used to obtain the satellite scenes. Satellite images were taken at 10 different times, between April 26 and October 3, 2021. Based on spectral information, the NDMI, NDVI, CIG and NBR indices were calculated, and they were used to describe the dynamics of maize crop during the study period and prediction of maize production. The dynamics of maize cultivation was quantified based on NDMI, NDVI and CIG indices in statistical accuracy conditions at the level of R₂= 0.943 to R₂= 0.976, p <0.001, and based on the NBR index at the level of R₂= 0.802, p = 0.0156. The prediction of maize production was possible based on the indices calculated in statistical accuracy conditions (p<0.001, R₂>0.990). The errors calculated between predicted production (YP) and real production (YR) varied according to the image capture time and the combination of indices used in the regression analysis.

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