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| PANDIT, R.; PARROTTA, J. A.; CHAUDHARY, A. K.; KARLEN, D. L.; VIEIRA, D. L. M.; ANKER, Y.; CHEN, R.; MORRIS, J.; HARRIS, J.; NTSHOTSHO, P.. |
| Tipo: Artigo de periódico |
Palavras-chave: Forestland; Evaluation framework; Criteria; IPBES; Restoration outcomes; Community forestry; Nepal. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1122303 |
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| PEIXOTO, D. S.; SILVA, B. M.; SILVA, S. H. G.; KARLEN, D. L.; MOREIRA, S. G.; SILVA, A. A. P. da; RESENDE, A. V. de; NORTON, L. D.; CURI, N.. |
| Soil compaction can significantly reduce crop yield. Our objective was to identify the most sensitive soil physical property and process indicators related to crop yield using a Random Forest algorithm (RFA). This machine-learning, decision-making tool was used with field-scale data from five soil management treatments designed to ameliorate compaction in no-tillage (NT) fields. The treatments were: T1, NT for 10 yr (control); T2, NT with surface application of 3.6 Mg ha-1 of agricultural gypsum; T3, NT with subsoiling plus 1.44 Mg ha-1 of highly reactive limestone applied to a depth of 0.60 m; T4, NT planting following chisel plowing at a depth of 0.26 m; and T5, NT with subsoiling to a depth of 0.60 m plus 1.44 Mg ha-1 of surface-applied, highly reactive... |
| Tipo: Artigo de periódico |
Palavras-chave: Random Forest; Compactação do Solo; Plantio Direto; Física do Solo; Rendimento. |
| Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1113481 |
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