HIGHLIGHTS
- who: PTF and colleagues from the University of Perugia, Italy have published the research: Instance-based transfer learning for soil organic carbon estimation, in the Journal: (JOURNAL)
- what: As a consequence, the main goals of researchers were to model soil properties in space and time by reaching satisfactory prediction accuracy without obtaining new knowledge on the core soil structure and process (Wadoux et_al, 2020). As opposed to this procedure, the authors propose to build the model not only on the inputs and outputs of the source domain but also to utilize the available inputs from . . .
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