2024
DOI: 10.1007/s11119-024-10185-2
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Integrating NDVI and agronomic data to optimize the variable-rate nitrogen fertilization

Nicola Silvestri,
Leonardo Ercolini,
Nicola Grossi
et al.

Abstract: The success of Variable Rate Application (VRA) techniques is closely linked to the algorithm used to calculate the different fertilizer rates. In this study, we proposed an algorithm based on the integration between some estimated agronomic inputs and crop radiometric data acquired by using a multispectral sensor. Generally, VRA algorithms are evaluated by comparing the yields, but they can often be affected by factors acting in the final phase of the crop cycle and not dependent on the fertilization treatment… Show more

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