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document/10650046

Full identifier: https://ieeexplore.ieee.org/abstract/document/10650046

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document/10650046
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
document/10650046
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
document/10650046
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.
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
document/10650046
document/10650046
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
document/10650046
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
document/10650046
Emily Regalado
2025-10-15T16:59:03.212Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
document/10650046
document/10650046
Emily Regalado
2025-10-15T16:59:03.212Z