Zobrazeno 1 - 10
of 323
pro vyhledávání: '"G. Sileshi"'
Autor:
Mugnai, Sergio
Publikováno v:
Advances in Horticultural Science, 2009 Jan 01. 23(1), 66-66.
Externí odkaz:
https://www.jstor.org/stable/42882683
Autor:
Ian Martin
Publikováno v:
Experimental Agriculture. 45:237-238
Autor:
Gift Ndengu, Powell Mponela, Barthlomew Chataika, Lulseged Tamene Desta, Rowland Chirwa, Gudeta G. Sileshi
Publikováno v:
Experimental Agriculture. 58
Summary In sub-Saharan Africa (SSA), farmers intercrop common beans with maize but apply inorganic or organic fertilisers targeting only maize. Effects of this practice on bush bean yield have not been fully evaluated with respect to input use and co
Publikováno v:
agriRxiv. 2021
Pesticides are commonly used in the prevention or control of pests such as insect pests, mites, disease, and weeds in crops to increase production and productivity. The aim of the current study was designed to assess the pesticide utilization, practi
Publikováno v:
ISVLSI
Particle filters (PFs) are Bayesian based estimationalgorithms with attractive theoretical properties for addressingwide range of complex applications that are nonlinear and nonGaussian. However, they are associated with a huge computational demand w
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319271453
ROBOT (1)
ROBOT (1)
Particle filters are sequential Monte Carlo estimation methods with applications in the field of mobile robotics for performing tasks such as tracking, simultaneous localization and mapping (SLAM) and navigation, by dealing with the uncertainties and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da7e3ebf4f821e280b227007431542bc
http://hdl.handle.net/10198/14451
http://hdl.handle.net/10198/14451
Particle filters (PFs) are Bayesian-based estimation algorithms with attractive theoretical properties for addressing a wide range of complex applications that are nonlinear and non-Gaussian. However, they are associated with a huge computational dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e065a2b27b6d55b39823b9cfceb20e80
https://doi.org/10.1016/b978-0-12-802508-6.00002-8
https://doi.org/10.1016/b978-0-12-802508-6.00002-8
Publikováno v:
Journal of Economic Entomology. 95:499-506
With the widespread introduction of the nitrogen-fixing legume sesbania, Sesbania sesban (L.) Merril, in agroforestry systems, the defoliating beetle Mesoplatys ochroptera Stal has become a serious pest of the trees in Africa. To determine within-fie
Autor:
G. Sileshi, P.L. Mafongoya
Publikováno v:
Agroforestry Systems. 56:225-231
The sesbania beetle, Mesoplatys ochroptera Stal (Chrysomelidae: Coleoptera), is a serious defoliator of Sesbania sesban in eastern and southern Africa. Developing integrated pest management practices against the beetle is an important aspect of the a
Publikováno v:
IEEE SENSORS 2014 Proceedings.