https://w3id.org/np/RAUhocXLI-Echf49dBq_5YcvQ4ys896ArUz3Y42yuzpv0
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<https://ieeexplore.ieee.org/abstract/document/10650046> a <http://semanticscience.org/resource/SIO_001066>;
dct:description "In Precision Agriculture, the utilization of management zones (MZs) that take into account within-field variability facilitates effective fertilizer management. This approach enables the optimization of nitrogen (N) rates to maximize crop yield production and enhance agronomic use efficiency. However, existing works often neglect the consideration of responsivity to fertilizer as a factor influencing MZ determination. In response to this gap, a proposed MZ clustering method is implemented based on fertilizer responsivity.";
rdfs:label "Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones";
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orcid:0009-0008-8411-2742 foaf:name "Emily Regalado" .
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