Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Paul B. Hegedus"'
Autor:
Paul B. Hegedus, Bruce Maxwell, John Sheppard, Sasha Loewen, Hannah Duff, Giorgio Morales-Luna, Amy Peerlinck
Publikováno v:
Agriculture, Vol 13, Iss 3, p 524 (2023)
Few mechanisms turn field-specific ecological data into management recommendations for crop production with appropriate uncertainty. Precision agriculture is mainly deployed for machine efficiencies and soil-based zonal management, and the traditiona
Externí odkaz:
https://doaj.org/article/c6b9be3d5a5c42dc871737f321217d6d
Publikováno v:
Sensors, Vol 23, Iss 1, p 489 (2023)
In recent years, the use of remotely sensed and on-ground observations of crop fields, in conjunction with machine learning techniques, has led to highly accurate crop yield estimations. In this work, we propose to further improve the yield predictio
Externí odkaz:
https://doaj.org/article/f6635d8643d249418f7df6dd47c71d1d
Low nitrogen use efficiency (NUE) is ubiquitous in agricultural systems, with mounting global scale consequences for both atmospheric aspects of climate and downstream ecosystems. Since NUE related soil characteristics such as water holding capacity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5666a95ccd2a706742ddd88699111c5
https://doi.org/10.21203/rs.3.rs-2126328/v1
https://doi.org/10.21203/rs.3.rs-2126328/v1
Autor:
Paul B. Hegedus, Bruce D. Maxwell
Publikováno v:
Agriculture, Ecosystems & Environment. 338:108088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff79bf9c78f4fdc5d42d18db130a6f19
https://doi.org/10.1016/j.agee.2022.108088
https://doi.org/10.1016/j.agee.2022.108088