Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Victor Rueda-Ayala"'
Autor:
Tomas Persson, Victor Rueda-Ayala
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 6 (2022)
Digestate, a by-product from anaerobic digestion of organic materials such as animal manure, is considered a suitable plant fertilizer. However, due to its bulkiness and low economic value, it is costly to transport over long distances and store for
Externí odkaz:
https://doaj.org/article/bd719c98dcc64f499c59542d2ac38e23
Autor:
Hugo Moreno, Victor Rueda-Ayala, Angela Ribeiro, Jose Bengochea-Guevara, Juan Lopez, Gerassimos Peteinatos, Constantino Valero, Dionisio Andújar
Publikováno v:
Sensors, Vol 20, Iss 23, p 6912 (2020)
A non-destructive measuring technique was applied to test major vine geometric traits on measurements collected by a contactless sensor. Three-dimensional optical sensors have evolved over the past decade, and these advancements may be useful in impr
Externí odkaz:
https://doaj.org/article/265c585994fc4ac49a6145bc580f8ea4
Autor:
Hella Ellen Ahrends, Stefan Siebert, Ehsan Eyshi Rezaei, Sabine Julia Seidel, Hubert Hüging, Frank Ewert, Thomas Döring, Victor Rueda-Ayala, Werner Eugster, Thomas Gaiser
Publikováno v:
Environmental Research Letters, Vol 16, Iss 1, p 014003 (2020)
Yield stability is important for food security and a sustainable crop production, especially under changing climatic conditions. It is well known that the variability of yields is linked to changes in meteorological conditions. However, little is kno
Externí odkaz:
https://doaj.org/article/ead69cf2ed814f65a30836c15d53439c
Publikováno v:
Sensors, Vol 15, Iss 4, Pp 7691-7707 (2015)
Non-chemical weed control methods need to be directed towards a site-specific weeding approach, in order to be able to compete the conventional herbicide equivalents. A system for online weed control was developed. It automatically adjusts the tine a
Externí odkaz:
https://doaj.org/article/aaa63ba25ded41779a949b0abbacbd60
Autor:
José Dorado, César Fernández-Quintanilla, Roland Gerhards, Constantino Valero, Alexandre Escolá, Joan Ramón Rosell-Polo, Hugo Moreno, Dionisio Andújar, Victor Rueda-Ayala, Hans-Werner Griepentrog
Publikováno v:
Sensors, Vol 13, Iss 11, Pp 14662-14675 (2013)
In this study, the evaluation of the accuracy and performance of a light detection and ranging (LIDAR) sensor for vegetation using distance and reflection measurements aiming to detect and discriminate maize plants and weeds from soil surface was don
Externí odkaz:
https://doaj.org/article/7eef25b8882a4a36a4a0935f68a952a9
Publikováno v:
Sensors, Vol 13, Iss 5, Pp 6254-6271 (2013)
Harrowing is often used to reduce weed competition, generally using a constant intensity across a whole field. The efficacy of weed harrowing in wheat and barley can be optimized, if site-specific conditions of soil, weed infestation and crop growth
Externí odkaz:
https://doaj.org/article/0548c67d281043178e03b3fd387c84e7
Autor:
Paul Vargas Jentzsch, Christian Sandoval Pauker, Victor Rueda‐Ayala, Valerian Ciobotă, Marco Vinicio Sinche Serra, Gonzalo Rafael Jácome Camacho, Paola Zárate Pozo, Luis Ramos Guerrero, Patricia Garrido
Publikováno v:
Journal of Raman Spectroscopy. 52:1055-1063
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c1aeca84cc1cd2b3e4fe63a409d8dc6
https://doi.org/10.1002/jrs.6089
https://doi.org/10.1002/jrs.6089
Autor:
Gerassimos G. Peteinatos, Michael Späth, Roland Gerhards, Markus Sökefeld, Victor Rueda-Ayala, Adnan Nabout
Publikováno v:
Weed research
Precision farming technologies were implemented into a commercial harrow to increase selectivity of weed harrowing in spring cereals. Digital cameras were mounted before and after the harrow measuring crop cover. Crop soil cover (CSC) was computed ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8109bde73efa0624eed70a43107e28c5
https://doi.org/10.1111/wre.12458
https://doi.org/10.1111/wre.12458
Publikováno v:
Ecuador es Calidad, Vol 2, Iss 1 (2015)
Machine learning techniques were applied with statistical tools such as linear, logistic and multinomial regression, to work out predictive algorithms for yield estimation. Spectroradiometer readings were collected throughout the main maiz producing
Externí odkaz:
https://doaj.org/article/12f4981d6aca40dbb21ef4af8c052e03
Autor:
Victor Rueda-Ayala, Sabine J. Seidel, Frank Ewert, Thomas Gaiser, Hella Ellen Ahrends, Hubert Hüging, Thomas F. Döring, Werner Eugster, Stefan Siebert, Ehsan Eyshi Rezaei
Publikováno v:
Environmental Research Letters
Yield stability is important for food security and a sustainable crop production, especially under changing climatic conditions. It is well known that the variability of yields is linked to changes in meteorological conditions. However, little is kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da2ff8efd9d8fa03e67c94f4424fbd9f
https://hdl.handle.net/11250/2726357
https://hdl.handle.net/11250/2726357
