Spatial variability of the horizontal structure and production of biomass in Massai grass in an agropastoral system

Autor: Rossini Sôffa da Cruz, Ítalo Cordeiro Silva Lima, Carlos Henrique Batista, Otacílio Silveira Júnior, Antonio Clementino dos Santos, José Alberto Ferreira Cardoso

Publikováno v: Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 16 No. 3 (2021); 238-244
Revista Verde de Agroecologia e Desenvolvimento Sustentável; Vol. 16 Núm. 3 (2021); 238-244
Revista Verde de Agroecologia e Desenvolvimento Sustentável; v. 16 n. 3 (2021); 238-244
Revista Verde de Agroecologia e Desenvolvimento Sustentavel
Grupo Verde de Agroecologia e Abelhas (GVAA)
instacron:GVAA
Revista Verde de Agroecologia e Desenvolvimento Sustentável, Vol 16, Iss 3 (2021)

In Brazil, 60% to 80% of cultivated pastures show some degradation level. Thus, the objective was to evaluate the variability of the horizontal structure and biomass of Massai grass in an agropastoral system as a diagnosis of degraded pasture. We per

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4c0041591205bd55b6be22562abf1de
https://doi.org/10.18378/rvads.v16i3.8684

Predicting component reliability and level of degradation with complex-valued neural networks

Autor: Olga Fink, Enrico Zio, Ulrich Weidmann

Publikováno v: Reliability Engineering and System Safety
Reliability Engineering and System Safety, Elsevier, 2014, 121, pp.198-206. ⟨10.1016/j.ress.2013.08.004⟩
Reliability Engineering & System Safety

International audience; In this paper, multilayer feedforward neural networks based on multi-valued neurons (MLMVN), a specific type of complex valued neural networks, are proposed to be applied to reliability and degradation prediction problems, for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf004a0cc2ccf590f8fe217f19eac19
http://hdl.handle.net/11311/968331

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