Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Juan López-Herrera"'
Autor:
Andrés F. Almeida-Ñauñay, Ana M. Tarquis, Juan López-Herrera, Enrique Pérez-Martín, José L. Pancorbo, María D. Raya-Sereno, Miguel Quemada
Publikováno v:
Computers and Electronics in Agriculture, ISSN 01681699, 2022-12-23, Vol. 205
Grain yield and quality assessment based on remote sensing throughout the growth cycle may contribute to achieve efficient and sustainable wheat production. A trial was conducted to test the suitability of a multispectral sensor onboard an unmanned a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39deb6c21537b08d8b7a56a9084f0793
https://oa.upm.es/72414/
https://oa.upm.es/72414/
Autor:
Serafin López-Cuervo, Francisco Lamas López, Miren Bakarne Lazcano Lasa, Antonio Saa-Requejo, Juan J. Martín-Sotoca, Enrique Pérez Martín, Juan López Herrera, Jose Gabriel Caso Diaz-Aguilar, Ana M. Tarquis
The mechanical conditions of the soil is essential for the planning and implementation of agricultural tillage. Determining the variability of the soil by sensors helps to optimize the intensity of the use of tillage components, control their wear an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f55014deb1ac2cf4f76de939e2bbac92
https://doi.org/10.5194/egusphere-egu22-13177
https://doi.org/10.5194/egusphere-egu22-13177
Akademický článek
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Autor:
José Luis Gabriel, Enrique Pérez-Martín, Pablo J. Zarco-Tejada, Miguel Quemada, María Alonso-Ayuso, P. Juan López-Herrera
Publikováno v:
ResearcherID
Digital.CSIC. Repositorio Institucional del CSIC
instname
Repositorio de Resultados de Investigación del INIA
INIA: Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
Digital.CSIC. Repositorio Institucional del CSIC
instname
Repositorio de Resultados de Investigación del INIA
INIA: Repositorio de Resultados de Investigación del INIA
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria INIA
Remote sensing could improve fertilisation by monitoring crop nitrogen (N) status using non-invasive methods. The main goal of this experiment was to test the ability of proximal and airborne sensors to identify the nutritional N status of maize. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff748c6cb9faaae96751f4fd59184fba
http://www.sciencedirect.com/science/article/pii/S1537511017300247
http://www.sciencedirect.com/science/article/pii/S1537511017300247